35 results about "Brain right" patented technology

A method and apparatus to balance the brain left side and the brain right side by using binaural beat is disclosed. The disclosed apparatus comprises an electroencephalographic (EEG) system to measure the brain left and right electrical signals, and an audio generator to generate a binaural beat to compensate for the unbalanced EEG frequencies. The disclosed method includes measuring the brain wave frequency spectrum of the individual, selecting the frequency exhibiting imbalanced behavior, and generating a binaural beat of that frequency. The binaural beat can be continuous or intermitten.

The invention discloses a non-contracting magnetic induction type detecting system of cerebral hemorrhage. The non-contracting magnetic induction type detecting system of the cerebral hemorrhage comprises a signal generator, a helmholtz upper coil, a helmholtz lower coil, a left cerebral hemisphere detecting coil, a right cerebral hemisphere detecting coil, a first data collecting card, a second data collecting card, a tee joint and a phase discriminator main machine, wherein the helmholtz upper coil and the helmholtz lower coil are correspondingly arranged in parallel, the space between the helmholtz upper coil and the helmholtz lower coil is a detecting space of the head, the distance between the helmholtz upper coil and the helmholtz lower coil is equal to the radius of a coil, the left cerebral hemisphere detecting coil and a right cerebral hemisphere detecting coil are arranged in the detecting space of the head in a movable mode and the positions of the left cerebral hemisphere detecting coil and the right cerebral hemisphere detecting coil are symmetrical relative to the sagittal suture of the head. The non-contracting magnetic induction type detecting system of the cerebral hemorrhage is high in detection sensitivity of early-stage hemorrhage, accurate in location, deep in detection depth, strong in antijamming capability, in a non-contracting magnetic induction type, and beneficial to bedside intensive care.

The invention discloses a multifunctional trainer operation method and a multifunctional trainer for right brain potential development. The trainer comprises a housing, a display screen, a mode selection button module, a training selection button module, a training result display module, a main control chip, and a voice module, wherein the display screen, the mode selection button module, the training selection button module and the training result display module are arranged on the housing, the main control chip and the voice module are arranged in the housing, and the mode selection button module consists of a leisure mode button and a training mode button. The multifunctional trainer is provided with the training mode button and the leisure mode button. By additionally arranging the leisure mode button, the singleness and boredom of training are reduced, multiple choices are available to trainees, the training effect can be improved, and the range of application is expanded. Furthermore, trainees can select desired training content for training through the training mode button, and the result can be displayed on the training result display module to enable trainees to visually know the training effect and engage in multi-faceted and multi-aspect training in view of the training effect.

The method of improving right brain memory includes editing common language one music file into right brain memory inducing file in the same frequency as the right brain memory state brain wave frequency with one audio file editor and storing the right brain memory inducing file in common MP3 audio player, so that the user can listen to the right brain memory inducing file with a MP3 audio player for the right brain to enter excitatory state to raise the right brain memory ability. The method of the present invention stimulates the auditory system simply and has no harm to body and no side effect.

The invention provides an electroencephalogram emotion recognition method and system based on depth domain self-adaption, and belongs to the technical field of electroencephalogram emotion recognition. The method comprises the steps: processing an obtained electroencephalogram signal through a pre-trained recognition model to obtain an electroencephalogram emotion recognition result; extracting differential entropy features of the electroencephalogram signals, extracting a topological structure between electroencephalogram signal channels based on the differential entropy features, extracting local information of the features based on the topological structure, obtaining a mode relation between the left brain and the right brain in emotional expression based on the local information, and conducting integrating; and performing emotion category judgment by using the integrated features. According to the method, a Coll loss function and graph convolution are combined with a traditional convolutional neural network, differential entropy local features are extracted, the relation between electroencephalogram signal channels is learned by using the graph convolution, information of a left brain and information of a right brain are extracted respectively, the extracted features are integrated, the difference between individuals is reduced by using adaptive loss, and the electroencephalogram emotion recognition result is more accurate.

The invention provides a medical image processing device and method, a medium and electronic equipment. The medical image processing device comprises: a medical image acquisition module used for acquiring a brain medical image; the voxel value difference acquisition module that is used for acquiring the voxel value difference of the left brain and the right brain in the brain medical image; and the ischemic area acquisition module that is used for acquiring an ischemic area in the brain medical image according to the voxel value difference. According to the medical image processing device, the ischemic area in the brain medical image can be obtained according to the voxel value difference of the left brain and the right brain in the brain medical image, artificial participation is basically not needed in the process, efficiency is high, and errors caused by subjective influence of medical staff are avoided.

The invention discloses an intervention method for transcranial alternating current stimulation. The method specifically comprises the following steps of (1) recording the electrical activities of a frontal lobe and temporal lobe on the right side of the brain through an electroencephalogram recorder, and placing a recording electrode at scalp of the frontal lobe and the temporal lobe of the rightbrain of an individual for searching the frequency corresponding to the maximum amplitude wave of an alpha waveband of the individual; and (2) simultaneously stimulating the frontal lobe region and the temporal lobe region of the right brain by using recorded alternating current waveforms with the same frequency through transcranial alternating current stimulation, so that the electrical activities of the two brain regions in the alpha wavebands are synchronized. The method has the beneficial effects that the condition of brain interval synchronism disorder of brain sub-health people is improved by enhancing the synchronism between specific regions of the brain network, so that the functions of improving anxiety, depressive emotion and frontal lobe related cognitive competence are achieved.

The search engine optimizer transforms input information interactively and works independently and in parallel with a browser and search engine supercomputer. The optimizer reorganizes the input, and provides an optimized version as an output. The output (Optimized, reorganized input) is sent to the search engine, which responds to the end user with search results. The optimizer recognizes each request as a pattern and stores the pattern in an advanced Glyph format. This permits the optimizer to use left brain English language and right brain geospatial key featured association equation to gain factor the best results, and then using deductive reasoning feedback equation attenuate content with confounding variables in order to stabilize and reduces sensitivity parameter variations due to the environment and identify a left and right side human brain checkmate combination required to achieve certitude.

The invention belongs to the technical field of computer vision, discloses a persistent homology method for detecting the influence of an APOE e4 genotype on a default mode network, and solves the defects of the kinetic research of the APOE e4 genotype in the existing default mode network research. Firstly, constructing an original weighted network and a multi-scale network, wherein the multi-scale brain network comprises a left brain, a right brain and a whole brain, and carrying out graph theory index analysis on the networks; secondly, analyzing the brain network by adopting an analysis method based on a persistent coherence index, and comparing with a graph theory index; and finally carrying out difference analysis on the left and right brains of the default mode network. The result shows that the persistent homology index has higher robustness and stability, is suitable for early diagnosis and prevention when any old people do not suffer from diseases, and can be applied to research in the fields of medicine, biology, genetics and the like.

As is well known, the human brain comprises the left cerebral hemisphere and the right cerebral hemisphere. As for the storage of the information content, the storage of the right cerebral hemisphereis 100,000 times of that of the left cerebral hemisphere, and the memory of the right cerebral hemisphere is 1000,000 times that of the left cerebral hemisphere. But in real life, 98% of people only use the left cerebral hemisphere. The relation of the brain with the nervous system is in the crossing form, namely, the left cerebral hemisphere governs the right half part of the body, and the rightcerebral hemisphere controls the left half part of the body. Therefore, in order to promote the efficiency of the brain, the development for the right cerebral hemisphere is especially important. Thescience proves that the projection of the limb movement to the reflecting region of the brain is not as much as 1/10 of that of the fingers, and therefore, the development for the right cerebral hemisphere needs to start from the fingers of the left hand, which is, relatively speaking, the relatively correct choice. In order to solve the interaction of the fingers of the left hand with the brain,in the technical scheme provided by the invention, the purpose is realized through an intelligent wearing device.

The invention discloses a speech and language function impairment level converter based on an ICF framework. The speech and language function impairment level converter comprises the following function evaluation indexes: auditory understanding (%), visual understanding (%) and right brain function (%); and S4, the b16710 spoken language expression ability is reclassified and subdivided into wordnaming (%), simple repetition (%), word repetition (%), bisyllable word duration 2cvT(s), bisyllable word fundamental frequency 2cvF0 (Hz), sentence repetition (%), sentence duration (s), sentence fundamental frequency (Hz), series of words (%), spoken language description (%), writing (%) and body language (%), so that accurate language function evaluation can be carried out on the patient, and subsequent treatment of the patient is facilitated.

The invention discloses a signal acquisition system based on a brain-computer interface. The signal acquisition system comprises an electric signal acquisition module, an electric signal receiving module, an electric signal preliminary analysis module, a cloud module and a calculation module, wherein the electric signal acquisition module is worn on the head of a person; the electric signal receiving module comprises an electric signal acquisition unit and a signal transmitting unit; and the electric signal acquisition unit comprises a left brain signal acquisition device and a right brain signal acquisition device. Bluetooth information on an NFC information sheet is read by using an NFC reader, so that a Bluetooth transmitter can be quickly connected with a Bluetooth signal receiver in apairing manner, the electric signal acquisition module and the electric signal receiving module can be quickly connected without searching and pairing, the interference of other Bluetooth equipment on brain-computer signals is reduced, and then the signals are further amplified and stabilized through a wave stabilizer after the Bluetooth signals are received.