VORRICHTUNG ZUR NEURO-VASKULÄREN STIMULATION

An apparatus for neuro-vascular stimulation

The invention relates to an apparatus for neuro-vascular stimulation.

A method of memory training are known from the prior art.

US 2001/0066005 A1 for example describes a computer-implemented method for self-directed learning. Neuro-physiological states of the user are measured for the process to give the user feedback on its

to give self-regulation or adapt the learning environment.

Known from the prior art systems have the disadvantage that they are designed mainly for knowledge transfer and thus neuroplasticity, that is a targeted stimulation to the formation and crosslinking of nerve cells in the brain and / or to improve the vascular supply to the brain when cause at all, only by chance. The application of the known systems for

Prevention or treatment of dementia is not possible with conventional systems.

The object of the invention is therefore to provide an improved apparatus and a method for operating the apparatus, which preferably is the mentioned disadvantages of the prior art.

The object is achieved by means of an apparatus for neuro-vascular stimulation according to claim 1 and a method for controlling an apparatus for neuro-vascular stimulation according to claim 5. Further advantageous embodiments are apparent from the following description, refer to the figures and the dependent claims. The individual features of the described

Embodiments are not limited to them but can be linked with each other and with other features to further embodiments.

It is proposed an apparatus for neuro-vascular stimulation at least comprising at least one brain activity sensor, the at least one cardiovascular sensor, at least one processing unit and at least one output unit. The computing unit includes at least one task algorithm, wherein at least the brain activity sensor and the cardiovascular sensor can be received by the arithmetic unit signals, and an object which is in correlation with at least the signals of at least the brain activity sensor and the signals of the cardiovascular sensor, by means of the task algorithm can be determined and be output by the output unit. The term neuro-vascular stimulation in the context of the invention includes a systematic stimulation using cognitive and physiological principles that animal experiments are known to promote an educational and networking of nerve cells in particular from neural stem or progenitor cells, improve the networking of existing maturierter nerve cells and blood supply to certain brain regions through improve vascular plasticity processes. the regional distribution of vascular plasticity in the brain is preferably controlled in conjunction with a neuronal activity, controlled and / or stimulated in order to stimulate these in conjunction with a neuroplasticity plasticity. The term brain activity sensor means a sensor or a measuring device for determining a brain activity within the meaning of the proposed invention. The brain activity sensor is in one embodiment at least one sensor selected from a group comprising a electroencephalography electrode - hereinafter referred to as EEG electrode, a pupillometry sensor and / or a

Hautleitwiderstandssensor.

Preferably, the brain activity sensor is an EEG electrode, which is more preferably be placed in an ear, more preferably in the external auditory canal of the ear.

Further preferably, it is provided that the brain activity sensor comprises an earplug, comprising at least the EEG electrode. Further preferably, the brain activity sensor comprises at least one inner ear EEG electrode, as disclosed for example by EP 2388680 A1. In the EP 2388680 A1 of this disclosure is fully referenced in the frame. More preferably, it is provided that the brain activity sensor headphones and / or a headset comprising. More preferably, it is provided that the brain activity sensor comprises means for retaining or fixing at least one sensor and / or an electrode on a head of a user. It is particularly preferred that the apparatus comprises a number of brain activity sensors, for example a number of EEG electrodes. Particularly preferably, it is provided that the device has at least one

Reference electrode for at least one EEG electrode.

In a further embodiment it is provided that the brain activity sensor comprises at least one sensor for the analysis of eye movements, pupillometry, a sensor for measuring a blood flow to the brain, preferably the cortex and / or a measurement of the autonomic nervous system. for example, a

configured brain activity sensor as near infrared spectroscopy sensor.

In the description of the invention electroencephalography is abbreviated EEG. The term cardiovascular sensor is a sensor is to be understood, is measurable by means of the pulse, heart rate and / or blood pressure. For example, a heart rate monitor or a chest strap includes the cardiovascular sensor. In a further embodiment it is provided that the cardio-vascular sensor comprises a sensor for a

comprises an electrocardiogram and / or a blood pressure sensor. In one embodiment it is provided that at least two cardiovascular sensors are provided, which can be arranged in particular on a neck or a temple and at a wrist or ankle. further data, for example, a blood pressure can be determined from a difference or a ratio of obtained by means of sensors pulse data.

Exemplary enumerations in the description of the invention are not intended to be exhaustive. The computing unit may be for example a computer, a mobile phone, in particular a smart phone, a tablet computer, and / or a microcomputer. In one embodiment it is provided that the calculation unit comprises a server which is preferably connected to a network to which the device has access. More preferably, the apparatus comprises a connection means to the network to which the computing unit is integrated. In one embodiment that is

Connecting means is a web-enabled mobile device, such as a cell phone.

Preferably, the arithmetic unit is connected to a network such as the Internet. In a further embodiment, the computing unit is connected directly to other components of the device. More preferably, it is provided that the arithmetic unit comprises a watch. In particular, the watch comprising at least one sensor, at least one actuator - such as a

Vibration motor and in particular a computer functionality and / or connect to a computer.

The output unit, for example, includes a monitor, a display, a head-mounted display - such as a video glasses or virtual-reality goggles and / or a device for displaying an augmented reality such as augmented reality glasses. In a further embodiment it is provided that the output unit includes an audio output, for example, a headset and / or a speaker.

It is further provided in an embodiment that the output unit includes a sensory output, for example by means of a vibration motor. In a further embodiment it is provided that the output unit comprises a controller for an exercise machine, for example a cardiovascular device, parameters of the training device are preferably controlled. In particular, a power resistor and / or a further parameter of the exercise machine by means of an output of the device is controllable. In a further embodiment it is provided that the output unit is a

comprising control for an apparatus for electrical muscle stimulation. In a further embodiment it is provided that the output unit has a means for outputting odors and / or facial expression photographs.

For a long time the idea was one that neuroplasticity, that is a stimulation for formation and / or crosslinking of nerve cells in the brain that was not possible. The known from the prior art devices, the so-called brain training aimed exclusively to specific learning effect improvement. The

Device of the invention reflects the discovery that neural stem cells exist in the adult brain that allow formation of new neurons and their networking. Neurons newly formed that are not networked immediately die again and have no long-term effect, for example for the treatment or prevention of dementia. However, the neuroplasticity is preferably done under certain conditions, which are advantageously determined and / or generated by means of the device. Especially advantageous is a certain

Kardiobelastung and a specific brain activity that occur together beneficial, useful or necessary for neuroplasticity.

Furthermore, advantageously, the device determines a task that is provided to the user by means of the output unit at least based on the measured signals using an object algorithm. The object is selected such that it is at the detected signals in correlation. In one embodiment it is provided that at least one relation of the signals from the brain activity sensor and the signals of the cardiovascular sensor caused the task.

The object is in particular so selected by the task algorithm that the brain of the user is stimulated by study of the object, to form new neurons in particular under the influence of Kardiobelastung and more preferably these new neurons more preferably in addition, the already sophisticated existing neurons in particular together to form network. The task is preferably matched to the user. In a particularly preferred embodiment it is provided that the task is selected so that the

Users can solve the problem.

In a further embodiment, it is provided that the task algorithm involving at least one answer to the task by the user in the determination of another task, particularly the task algorithm takes into account whether the user is a previous job properly or answered incorrectly. Further preferably, it is provided that the task algorithm, a time is taken into account that has elapsed between the issue of the preceding task, and an input of the answer.

The task is chosen in one embodiment from different task complexes. An object of complex is at least selected from a group comprising mnemonic objects, a Stroop test, a read task, a

Melody recognition, a coordination task, a pattern recognition,

Pattern separation, pattern completion, a memory task - especially a task that the procedural and / or declarative, preferably responsive episodic memory, a task that requires precise encoding, a novelty detection, a simple concatenation, a forward chaining - in particular a transitive inference, a generalization, a salient stimulus - especially an emotionally salient stimulus, a task with their own stimuli and / or an invitation more or less to make an effort - to run, for example, slower or faster, a navigation task, a multi-tasking

Task with requirements for an executive control, a working memory task, and / or an object for visual or auditory discrimination of similar stimuli.

Own stimuli are in one embodiment photos or videos of situations, places or people known to the user. In a further embodiment it is provided that the user is at least exposed to a stimulus, such as an odor, an image, a color, a pattern, a sensitive stimulus, a melody and / or a noise.

It is particularly preferred, the task is selected from at least one stimulus. In particular, it is provided that the object is at least one stimulus. In a further embodiment it is provided that one or more functions of one or more task complexes can be combined. In another

Embodiment it is provided that a number of stimuli can be combined. In a further embodiment it is provided that at least one stimulus to at least one object are combined from at least one block of exercises. In another embodiment of unexpected or deviant stimuli presented passive. In another embodiment of unexpected and / or deviant stimuli are presented and must be actively detected. In a further embodiment stimulus reward associations are learned in terms of reinforcement learning and flexible relearned, this is called reversal learning.

For example, one embodiment, that the output of at least one object with its own stimulus or stimuli comprising a particular random taking photos before use of the device. In a

Embodiment it is provided that a particular camera worn by the user, preferably automatically, of a period prior to use

Device makes recordings, which are shown in use of the device. In particular, a task may include a temporal order of the images. In a further embodiment it is provided that the images and other non-recorded by the user's camera images are shown.

Particularly advantageous use of the device according to the invention in dementia prevention and / or treatment of dementia is provided. In a

Embodiment it is provided that the object of the type of algorithm

involving dementia of the user in an investigation or generation of the task. In a further embodiment it is provided that the device is used for increasing a brain performance. One embodiment provides that in particular, the user can specify a target for the brain performance. An object includes, for example, an object selected from a group comprising a memory enhancement - particularly to an improvement of declarative memory, a pattern recognition enhancement of a

Pattern separation improving an orientation improvement, improvement of cognition (perception), a speech enhancement, a

Concentration improvement and / or logic improvement. The objective is preferably be entered via an input device into the device.

In one embodiment, it is provided that the device has at least one

includes input device. In particular, an input device includes at least one

Input means selected from a group comprising a joystick, a keyboard, a touchpad, a brain signal feedback means for determining eye movement - eye tracker, a gyroscope, a brain signal, a microphone and / or a switch or a buzzer. In one embodiment it is provided that the user data, the objective and / or an answer to the problem posed by means of the input device can be input. User data, for example, age, sex, disease,

Medication and / or other data of the user. have preferred

User data pulse data and / or Neuronaldaten, which are determined in particular with the use of the device. In a further embodiment, user data determined in use of the apparatus, measured and / or entered data. In one embodiment, it is provided that the user data is included in the task algorithm to determine the task. A further embodiment provides that the device comprises a cardio device. A cardio device is preferably a device selected from a group at least comprising a treadmill, elliptical machine, a rowing machine, an ergometer, a stepper, an abdominal that omidirektionales treadmill and / or a spinning unit. In a further embodiment, the device comprises additionally or alternatively a

Electric stimulator on. Advantageously, the apparatus is configured such that it drives the cardiovascular apparatus and / or the electrical stimulation device such that the user reaches a particular pulse rate and preferably, for a period that is optimal to neuroplasticity.

In one embodiment, the apparatus comprises, in addition to a spirometer, with which the setting of the optimum training levels with reference to the C02 concentration in the breathing air can be adjusted exactly. More preferably, the device to control the cardio machine and / or the electrical stimulation device such that the user reaches a particular brain activity in particular by exertion or relaxation, which is optimal for neuroplasticity substantially.

More preferably, the device controls the cardio machine and / or the

Electrostimulation device to such that a user with a value measured for the

Brain activity to neuroplasticity optimal heart or pulse rate and / or C02 concentration in the ambient air reaches. In a further embodiment it is provided that the device cardio device and / or the

Electrostimulation device controls in consideration of the user data.

For the purposes of the invention is to be understood under a control of a control. Particularly preferred are by means of the arithmetic unit from the signals of

Brain activity sensor Neuronaldaten be generated. Pulse data are more preferably by means of the arithmetic unit from the signals of cardiovascular sensor can be generated. A further embodiment provides that by means of the task algorithm at least Neuronaldaten from the signals of brain activity sensor and pulse data from the signals of cardiovascular sensor with respect to one another are settable.

In a further embodiment it is provided that an automated administration of drugs is carried out. In one embodiment, the apparatus comprises a device for the administration of drugs. In one embodiment it is provided that drugs in dependence on the Neuronaldaten and / or the pulse data

can be administered, if appropriate taking into account the user data.

Furthermore, an inventive method for controlling an apparatus for neuro-vascular stimulation is proposed. The device comprises at least a brain activity sensor, at least one cardio-vascular sensor, at least one processing unit and at least one output unit. The computing unit includes at least one task algorithm, wherein at least the brain activity sensor and the cardiovascular sensor are received by the computing unit signals and at least one object, which is correlated with at least the signals of at least the brain activity sensor and the signals of the cardiovascular sensor means the object of the algorithm is determined and outputted by the output unit.

Preferably, the task algorithm determines the task. In a further

preferred embodiment determines the task algorithm a number of

Tasks. Preferably, the task algorithm determines new tasks again and again. Further preferably the task algorithm determines another object after the user has answered a task or a predetermined time since the

Output of the last task has passed. In a further embodiment it is provided is that a new object is determined and preferably displayed, can be recognized if, for example, from the Neuronaldaten that the user is no longer engaged in the task. The object is preferably always determined in relation to the current Neuronaldaten and pulse data.

More preferably, it is provided that the task algorithm different values, for example, a number of sensorially determined values ​​and / or a number of user data sets in relation to one another to determine a task. More preferably, the task algorithm comprises at least one table with a task or complexes from which the task algorithm selects a task. In a particularly preferred embodiment of the task algorithm is a software. Further preferably, it is provided that the task algorithm, an object of a number of tasks that are stored on the computer unit, is determined. Further preferably the computer unit comprises at least one table on which the

Task algorithm accesses. In one embodiment, it is provided that the task algorithm includes a function that returns an object in response to inputted and / or measured values. In one embodiment, it is provided that at least one object is selected from at least one object by means of the complex task algorithm. More preferably, the task algorithm fits the task to the user data.

In a further embodiment it is provided that Neuronaldaten from the signals of brain activity sensor to be determined. Preferably, an at least

determined frequency band of EEG or checks its existence.

an amplitude of at least one frequency band is further preferably determined. In one embodiment, it is provided that a deviation of an optimum

Brain activity for the neuroplasticity of the user is determined. that a deviation from an EEG frequency band which is optimal for the neuroplasticity of the user is detected More preferably, it is provided.

In one embodiment, it is provided that a sampling rate of the signals on

Brain activity sensor from about 1 Hz to about 600 Hz preferably, is about 2 to about 300 Hz. In one embodiment it is provided that EEG frequency bands of delta and gamma are determined. the delta frequency band from about 0.5 Hz is preferably determined at least to about 4 Hz. The Theta-1 frequency band from about 4 Hz is more preferably at least determined to about 6.5 Hz. the theta-2-frequency band of about 6.5 Hz is more preferably at least determined to about 8 Hz. the alpha frequency band of about 8 Hz is more preferably at least determined to about 13 Hz.

the low beta frequency band of about 13 Hz is more preferably at least determined to about 15 Hz. the average beta frequency band of about 15 Hz is more preferably at least determined to about 21 Hz. the high beta frequency band of about 21 Hz is more preferably at least determined to about 30 Hz. at least the gamma frequency band of about 30 Hz is more preferably determined to approximately 80 Hz.

In one embodiment it is provided that the user at least one learning task by means of the apparatus is provided in a Enkodierungs- mode. The

Learning task may be, for example, a sequence of images that you want to memorize the user. Particularly advantageous is provided that the device, the

Learning task only provides, when the device to increase the amplitude in a frequency band of about 3 Hz to about 8 Hz, preferably about 4 to about 8 Hz, more preferably of the Theta-1 -Frequenzbandes and / or theta-2-frequency band determined, preferably further μν an increase in the amplitude by at least about 10%, more preferably at least about 20% compared to a previously determined reference amplitude, more preferably μν at an amplitude above about 20, preferably above about 50, more preferably above about 70 V.

In a further embodiment a user specific reference amplitude and a user exceeding the reference amplitude is determined as the threshold to trigger the determination of the object in advance or determined by the use of the device and / or adjusted. The reference amplitude is when the user has about his resting pulse rate, or determined according to an embodiment in a rest phase, for example during sleep or in a further embodiment, when processing a task. To calculate the reference amplitude is preferably an amplitude average over a period of a few milliseconds, such as about 10 ms to about 90 ms to several minutes, for example about 2 min. min to about 15 °. The reference amplitude can be used according to an embodiment as a constant across multiple applications or according to a further

Embodiment are dynamically redefined from application to application and / or within an application more than once. In a further embodiment it is provided that a memory object is found in a retrieval mode. Preferably, the reminder task includes remembering of at least parts of the learning task previously identified. Further preferably, it is provided that the device only sets the reminder task when the device is an increase of the amplitude in a frequency band of about 3 Hz to about 8 Hz, preferably about 4 to about 8 Hz, more preferably of the Theta-1 - frequency band and / determined or Theta-2-frequency band, preferably an increase of the amplitude of at least about 10%, more preferably at least about 20% compared to a previously determined reference amplitude, more preferably μν at an amplitude of about 20, more preferably μν above about 50, more preferably above about 70 V. is In another embodiment, a user

Reference amplitude and a user exceeding the

Reference amplitude is determined as the threshold to trigger the determination of the object in advance or determined by the use of the device and / or adjusted.

In a further embodiment it is provided that is output in particular during a task that at least the alpha frequency band and / or the beta frequency band is determined. that, for a change in the alpha frequency band and / or the beta frequency band, the object is adjusted further preferably provided. If, for example based on a change of a frequency band, preferably the alpha frequency band and / or the beta frequency band determined that a particular sublimale frustration - that is, a

Frustationsreaktion takes place below the perception threshold of the user, overload and / or punishment reaction, the object is adjusted. For example, a sequence of slowing down to be remembered images and / or the frequency of the sequence does not accelerate. Furthermore, the object is placed in such an embodiment and / or adjusted to a reward reaction, in particular a release of endorphins, is triggered. Furthermore, the object is placed in such an embodiment and / or adjusted to a brain signal, as is typical for a reward expectancy and / or reward prediction error is measured. Advantageously, the object is controlled on the basis of brain signals. In particular, the object is particularly adapted by the Neuronaldaten such that the user can release it.

In a further embodiment it is provided that by means of a

Near Infrared Spectroscopy a reward reaction and / or a particular sublimale Frustration, overload and / or punishment reaction is determined.

For example, a near infrared spectroscopy is performed at least a portion of at least one temporal lobe.

In a further embodiment it is provided that a monitoring and / or storage of the signals from the brain activity sensor or Neuronaldaten occurs. It is further provided in an embodiment that storage of the signals of the cardiovascular sensor or the pulse data. Preferably, it is provided that the user data based on the Neuronaldaten and / or the pulse data is detected.

For example, an adaptation of the task based on user data

provided, the pulse data and / or Neuronaldaten include at least one previous measurement, or use of the device. In a further embodiment it is provided that an adaptation of the object in situ, that is during use of the apparatus takes place. In a further embodiment it is provided that the device has a diagnostic particular

supports dementia and / or automatically performs. In a further embodiment it is provided that a diagnosis based on the detected user data, a medication and / or a Medikamtationsempfehlung occurs.

In a further embodiment it is provided that an amplitude of an evoked potential is detected. Preferably, an evoked potential is determined according to a visual, auditory, olfactory, gustatory and / or tactile information presentation, preferably from about 10 ms to about 3000 ms, more preferably about 100 ms to about 1000 ms after the start of information presentation. Further preferably, it is provided that by means of the detected evoked potential is a discrimination of new and known information. For example, it can be determined whether the user remembers a information by means of evoked potentials, preferably regardless of whether the user perceives it consciously. The object is preferably based preferably adapted to at least the determined evoked potential taking into account the information presentation.

In a further embodiment it is provided that the amplitude of the alpha frequency band in particular in a time window of about 100 ms to about 3000 ms, more preferably about 100 ms to about 1000 ms after the beginning of

Information presentation is determined. Further preferably, it is provided that takes place discrimination new and known information by means of the amplitude of the alpha frequency band. The object is preferably on the basis of at least the amplitude of the alpha frequency band preferably taking into account the

Information presentation adapted.

In a further embodiment it is provided that the amplitude of the Theta-1 - frequency band in particular in a time window of about 100 ms to about 3000 ms, more preferably about 100 ms to about 1000 ms after the beginning of

Information presentation is determined. Further preferably, it is provided that takes place discrimination new and known information by means of the amplitude of the Theta-1 -Frequenzbandes. The object is preferably preferably adjusted on the basis of at least the amplitude of the Theta-1 -Frequenzbandes taking into account the information presentation. In a further embodiment it is provided that the amplitude of the Theta-2- frequency band in particular in a time window of about 100 ms to about 3000 ms, more preferably about 100 ms to about 1000 ms is determined after the start of information presentation. Further preferably, it is provided that by means of the amplitude of the Theta-2-frequency band is carried out a discrimination of new and known information. The object is preferably on the basis of at least the amplitude of the Theta-2-frequency band preferably in consideration of the

Information presentation adapted.

The term information within the meaning of the invention is at least understood to be a visual, auditory, olfactory, gustatory and / or tactile information.

Evoked potentials are potential differences in the brain detected by the activity sensor signals which are triggered by stimulation of a peripheral nerve or sensory organ. Preferably all are specifically induced electric

Phenomena in EEG evoked potentials. Preferably, evoked potential amplitudes of about 0.5 to about 20 μν μν, more preferably about 1 to about 15 μν μν on.

In a further embodiment it is provided that, for example, by means of

Near Infrared Spectroscopy perfusion, that is, blood flow, is determined of a region of the brain. Further preferably, it is provided that by means of determined perfusion of the region of the brain takes place discrimination of new and known information.

The object is preferably on the basis of at least the determined perfusion of the brain region preferably taking into account the information presentation

customized.

In a further embodiment it is provided that the pulse data from the signals of cardiovascular sensor are determined. Pulse data can be for example a heart rate, pulse rate, retrograde, anterograde pulse rate, a peripheral pulse deficits and / or blood pressure.

In a particularly preferred embodiment, a deviation is determined from an individual training pulse. For example, a maximum heart rate of the user is preferably determined in advance of the use of the device. The maximum pulse can in relation to the age of the user, for example, by the formula maximum heart rate = 220 - age in years to determine. In one embodiment, additional user data in the

Calculation of maximum heart rate are recorded. It is preferably provided that the maximum heart rate, determined by a training session, which is preferably graduated from the user prior to use of the device. The training pulse is particularly the pulse that is optimal for neuroplasticity in the brain of the user. Preferably, the training pulse is in relation to the maximum pulse. For example, the training pulse is about 30% to about 70% of the maximum heart rate, preferably about 40% to about 60%, more preferably about 40% to about 50%. In a further advantageous embodiment, the C02 concentration of the respiratory air and / or the oxygen content is measured in the blood. Further advantageously, a training pulse is set such that the user is doing at the anaerobic threshold.

"About" is used in the invention, the term, it is including a

to understand the tolerance range, the skilled in the art considered in the art for conventional, in particular, a tolerance range of ± 20%, preferably ± 10% is provided. Also, the term "substantially" indicates a range of tolerance for the

Professional is to represent an economic and technical point of view, so that the corresponding feature is still recognizable as such.

In one embodiment, procedure that, for a deviation from the

Neuroplasticity optimal brain activity the user is stimulated to achieve the optimal neuroplasticity brain activity substantially. Stimulation can occur for example by means of a task that is output, in particular by means of the output unit. In a further embodiment it is provided that the stimulation is at least one excitation or prompt in particular by means of the output unit to the user to provide physically higher or lower performance. For example, is provided in one embodiment that a power resistor of the cardioversion unit is changed. In a further embodiment it is provided that a change in the brain, brain activity is induced by means of internal, external, brain and / or extracranialer current pulses. In a further embodiment it is provided that a change in the brain, brain activity is induced by means of internal, external, brain and / or extracranialer magnetic fields. In a further embodiment it is provided that in particular a number of

Measures is provided in order to achieve the optimal brain activity of the user for the neuroplasticity essentially.

Brain activity is at least one or more signals or data selected from a group comprising at least one electrical signal, preferably an EEG signal in the form of evoked potentials and / or averaged oscillations of an EEG frequency band, Perfusionsänderung in at least one region of the brain, pupil diameter and / or gaze direction can be determined. In one embodiment, it is provided that values ​​for optimal brain activity of the user for the

Neuroplasticity be determined during or prior to use of the device, in particular, the optimal values, set during the expectation of novelty, for example, new images, new smells, new sounds and / or the expectation of reward, such as points in a game. Preferably, the optimal brain activity is determined specifically for the user. In particular, an optimal brain activity is determined from the determined preferably during use of the device user data. For example, one or more tasks at different pulse data and Neuronaldaten is optionally repeated

made and to determine the optimal brain activity.

In a further embodiment it is provided that is stimulated with a deviation of the user's heart rate from the predetermined training pulse of the user, by about to reach the training pulse. In a further embodiment,

provided that the stimulation is at least one excitation or prompt in particular by means of the output unit to the user to provide physically higher or lower performance. For example, is provided in one embodiment that a power resistor of the cardioversion unit is changed. In a further embodiment it is provided that the means of an electric stimulation device

Users will be substantially brought to a training pulse.

In one embodiment, it is provided that for at least one Neuronaldatenelement from the task a task algorithm is determined at least according to a relation of at least one pulse data element. In a further embodiment it is provided that the task algorithm using at least one

User data element the task determined. which is preferably set to at least at least one user data element in relation to a pulse data element and at least one Neuronaldatenelement to identify the task. In a further embodiment it is provided that at least a number of relations of the pulse data to the Neuronaldaten each case at least one task or

are complex task assigned. Further advantageously, it is provided that an object will only be detected by the task algorithm when the relation of the pulse data and Neuronaldaten over a defined period are approximately constant,

for example about 10 s to about 90 s, preferably from about 20 s to about 60 s, more preferably from about 30 s to about 40 s.

In a further embodiment it is provided that a task by the task algorithm at least correlated to an input by means of a

input device is determined. For example, if an incorrect input entered in response to the task, we easily found the next task.

Furthermore, it is provided in one embodiment that the task by means of the

Task algorithm at least in correlation with a time difference between an output of the object and the input of the response is determined. In a further embodiment it is provided that an object is determined in correlation with a particular eye movement.

Furthermore, it is provided in one embodiment that the object is placed at a given eye movement. It is further provided in an embodiment that a task is made when certain Neuronaldaten are determined.

The input can be by means of a joystick, a keyboard, a touchpad, a brain signal feedback, an agent for the determination of the eye movement of a

carried gyroscope, a brain signal, a microphone and / or a button. In one embodiment, for example, provided that at least a brain signal, such as an EEG signal is used at least to make the entry.

In a further embodiment it is provided that the task algorithm is adapted on the basis of the user data of one or more users. In a further embodiment it is provided that a power resistor of the cardioversion unit is controlled at least on the basis of a relation of at least one pulse data element to a Neuronaldatenelement. Further, in a

Embodiment provides for the electrical stimulation device is controlled at least on the basis of a relation of at least one pulse data element to a Neuronaldatenelement.

In a further embodiment it is provided that a situation prior to the use of the device is recorded by means of at least one camera and / or at least one microphone, which is outputted by the output unit.

Preferably an everyday situation is output from the everyday user. In a further embodiment it is provided that a sporting situation or environment, especially from the perspective of the user or a third party is received, which is alternately output to an object or in conjunction with an object when using the device as a task. For example, it is provided that a user makes a migration and carries a camera that

during which makes photo and / or video recordings. When using the

Device, the images and / or movies are recorded to stimulate memories and / or more preferably to ask the user to the displayed photos and / or videos preferably automated by the apparatus function of at least the pulse data and the Neuronaldaten. In another

Configuration provides that the photos and / or videos are synchronized with a motion on the cardio equipment. The user advantageously for example, the walking route can run virtually. A camera is preferably a digital camera, for example, a CCD camera. In a further embodiment it is provided that the camera comprises a 3D camera system such as a stereo camera, a camera with a triangulation system, a camera with a photonic mixer device, a camera with interferometer and / or a light field camera. Furthermore, it is provided in one embodiment that the camera includes a panoramic camera, for example a rotating camera,

Line camera, a camera with at least one wide-angle or fisheye lens and / or a camera with fungal mirror. In a preferred embodiment it is provided that the camera is a 360cam Company Inc. Giroptic. In a further embodiment it is provided that a number of devices are designed networked together. In a further embodiment it is provided that at least two users use the devices together. In particular, is provided in one embodiment that users against each other solve together and / or a task or a number of tasks, especially playing with each other. Users can be measured according to an embodiment in solving the tasks that compete against each other and / or operate cooperatively.

In particular, by any user, the cardio-vascular activity, preferably be made in keeping his user profile. Further advantageous embodiments will become apparent from the following drawings. The developments illustrated therein should not be construed as limiting, but the features described therein with each other and be combined with the features described above to further embodiments. Furthermore, it should be noted that the reference numerals given in the description of the figures do not limit the scope of the present invention, but merely refer to those shown in the figures embodiments. The same parts or parts with the same function have the following on the same reference numbers. 1 shows schematically a first embodiment of a device according to the invention. and

Fig. 2 schematically another embodiment of a according to the invention

Device.

Fig. 1 shows schematically an apparatus 10 for neuro-vascular stimulation. This comprises a number of brain activity sensors 10 which are designed for acceptance of EEG signals to a head surface. Furthermore, the apparatus 10 includes a cardiovascular sensor 14, which measures, for example, a pulse on the forearm and / or a blood pressure. The measured values ​​of

Brain activity sensors 10 and the cardiovascular sensor 14 are transmitted to a computing unit 16, which converts the measuring values ​​in Neuronaldaten and pulse data. By means of an algorithm object 20, at least the pulse data and the Neuronaldaten, preferably set with further user data in relation to each other. The object of algorithm 20 determines therefrom a stored in the computing unit 16 object 22 which is output by an output unit 18, which is designed as a monitor in FIG. 1. 5, a user who uses the device 10, operates a cardio device 26 in order to achieve a training pulse. Preferably, the arithmetic unit 16 controls the cardio device 26 so that the user 5 the

training pulse reaches substantially and preferably holds substantially.

For example, the computing unit 16 controls a power resistor of

Cardio device 26 Determines the computing unit 16 from the pulse data that the individual for the user training pulse is substantially achieved, and from the Neuronaldaten that essentially a brain activity is present, the a

favors neuroplasticity, is the output unit 18 by means of the

Algorithm task 20 task 22 identified output. The user 5 is now an answer to an object 22 by means of an input device 24th Preferably, the input device 24 of the user 5 received the response, the position be sent to the arithmetic unit 16. Thereafter, in one embodiment, at least one further object 22, which is preferably determined again by means of the object 20 algorithm from the pulse data and the Neuronaldaten.

Fig. 2 shows schematically a further embodiment of the device 10. This comprises a brain activity sensor 12.1 which is designed as an in-ear headphone. The in-ear headphones also acts as an acoustic output unit 18.1. Of the

Brain activity sensor 12.1 is connected to a portable computer by the arm, a

is watch 30, respectively. The watch is also wired or linked by wireless connection with a cardiovascular sensor 14, which is configured as a chest strap. The watch 30 is preferably connected via a radio link, for example via a cellular connection to the computing unit 16, which is exemplified here configured as a cloud server. On the cloud server according to an embodiment are user data from a number of users before, the means of a mobile and / or stationary computers or respectively by means of

Device 10 particularly via the Internet on the cloud server

Furthermore, FIG. 2 that the user wears an eyeglass 5 32 forming part of the apparatus 10 and which preferably acts as an output unit 18.2. Preferably, the glasses 32 is an augmented reality glasses. Furthermore, the spectacles comprise a sensor for a pupil reaction, which is an additional brain activity sensor 18.2. Further, a microphone is provided as an input device 24, which is arranged in the embodiment shown on the glasses 32nd In a further embodiment, the microphone is connected to the headphones or configured as a single part. Here, by way of example, the user runs on a cardio machine 26 which is configured as a treadmill, which is preferably not connected to the device. In a further embodiment it is provided that the user exercising without a cardio device, such as jogging, walking, migrates rows or exerts other physical activity that leads to an increase in heart rate. In the example shown, the apparatus includes an electrical stimulation device 28, which influences an exercise effect, particularly the heart rate of the user. The

Electrostimulation device 28 is arranged, for example on the thighs of the user 5 here. In a further embodiment it is provided that the

Electrostimulation device 28 is arranged at one or more arbitrary locations of a body of the user. 5 For example, the user 5 exercising in a gym on a cardio device 26. The sensor signals detected by the brain activity sensors 18.1 and / or 18.2 and the sensor signals determined by the cardiovascular sensor 14 are converted into Neuronaldaten and pulse data from the watch 30th About the

Cellular connection, the watch will send the Neuronaldaten and the pulse data to the computing unit 16, which is configured as a cloud server on the Internet. The deposited in the computer unit 16 task algorithm 20 detects an object 22 from a number of tasks that are stored in the computer unit sixteenth In particular, the task will only be determined when the pulse data and Neuronaldaten

where appropriate, the user data is substantially reproduce optimal conditions for the neuroplasticity. The object determined is sent to the watch 30, to output them via the output unit 18.1 and / or 18.2. If no optimum conditions for the neuroplasticity by means of the algorithm object seen 16 sends the computing unit in a

Design either tasks that affect brain activity, and / or signals for controlling the electrical stimulation device 28. Furthermore, sees a

Embodiment provides that the user 5 receives feedback about his Neuronaldaten and / or its pulse data, for example, graphically outputted by the output unit 18.2. The user may be physical

based training, for example, to the pulse data. In particular, the user is preferably displayed graphically or color, whether it has a substantially optimal training pulse for neuroplasticity. It is further provided in an embodiment that the user auditory and / or visual stimuli on the

Output unit 18.1 and / or 18.2 particular output for the stimulation of brain activity.

After issue of the task the user answers this language, wherein the input device 24 receives a voice input and forwards it to the watch 30 or to the computing unit 16 for evaluation. Thereafter, if provided in a time interval a further determination to another object 22. More specifically, at least considered in the determination of the new task 22, at least one preceding task 22 and each have a response to a previous task 22nd