77 results about "Alpha wave" patented technology

An electric stimulator for alpha-wave derivation is characterized in that frequency selected from a range of 1 Hz to 50 Hz, preferably, 7 Hz to 14 Hz, and an output voltage are applied to auricle of a patient's ears to derive alpha-waves, and that cycle and intensity of stimulation are varied depending upon body temperature and blood sugar. Prompt reaction may be obtained by directly applying the voltage to the ears, and the reaction may continue when stimulation is extended. In addition, it is suitable to treat various diseases having common cause due to stress or arousal reaction in the human body.

The present invention provides methods and systems for patient-specific seizure onset detection. In one embodiment, at least one EEG waveform of the patient is recorded, and at least one epoch (sample) of the waveform is extracted. The waveform sample is decomposed into one or more subband signals via a wavelet decomposition of the waveform sample, and one or more feature vectors are computed based on the subband signals. A seizure onset can then be identified based on classification of the feature vectors to a seizure or a non-seizure class by comparing the feature vectors with a decision measure previously computed for that patient. The decision measure can be derived based on reference seizure and non-seizure EEG waveforms of the patient. In another aspect, similar methodology is employed for automatic detection of alpha waves. In other aspects, the invention provides diagnostic and imaging systems that incorporate the above seizure-onset and alpha-wave detection methodology.

The present invention discloses an electroencephalogram identification method based on different expression drivers, which is characterized in that based on cerebrophysiology knowledge, firstly, electroencephalograms generated by different face expression drivers are subjected to modeling simulation analysis; and on the basis, signal features of an Alpha wave band and a theta wave band in the electroencephalograms, which are generated on the basis of positions of four measurement points of FC5, FC6, F7 and F8 of the brain in the face expression driving process, are used as the basis of electroencephalogram classification identification for driving control of the electroencephalograms.

The present invention relates to a bed to adjust a slope of the bed according to brain waves and a method thereby, to adjust the slope to generate the maximum alpha waves of brain waves which are generated by the change of the blood amount to be provided in a bed user's brain. For this, there is provided a bed to adjust the slope of the bed according to brain waves that an ankles fixing device 14 is mounted at one side of the bed 12 and which is capable of rotating within predetermined angles around a rotation central hinge 18 which is installed at one side of the lower surface of the bed, wherein the bed comprises brain waves detection means 50 which is mounted at another side of the bed 12, and which user is able to put on, separation means for separating alpha waves and beta waves having predetermined frequency range from output signals of the brain waves detection means 50, and adjustment means for adjusting the inclination of the bed 12 so that the maximum alpha waves can be detected based on the alpha waves and the beta waves.

The present invention relates to a portable brainwave measuring method, which measures a weak brainwave signal detected from a human scalp through a noninvasive method to measure a degree of concentration through an analysis and process of the detected brainwave signal, and a control method enabled for short distance control of an electronic device or remote monitoring through the internet, by using the brainwave signal. An acceleration sensor is put on the head of a user, and a brainwave detecting means put on the head of a user to detect a brainwave and the acceleration sensor that outputs an acceleration value of three axes including XYZ axes as a signal of predetermined data are used to detect movement of the head, to thereby control the direction and speed of a brainwave-related device.; In more detail, after a signal outputted from the brainwave detecting means is converted into a wireless signal and transmitted, a value of the wireless signal is inputted to a receiving unit of a display device and is expressed numerically. By setting the value inputted to the display device, a portable brainwave measuring device provides accurate device control. A control system is characterized in that a signal according to the slope direction of the head is detected and analyzed, and then numerically expressed by using 6 brainwave signals such as a delta wave (delta), theta wave (theta), alpha wave (alpha), SMR wave, beta wave (beta) and gamma wave (sigma), which are measured through the portable brainwave measuring device and the acceleration sensor put on the head. A wireless system, including a short distance wireless module for transmitting / receiving the wireless signal, includes a wireless receiving module, a signal analyzing unit, and a control output unit. Additionally, the wireless system is connected to a PC or controls a short / long distance external device.

The invention provides a probability statistics method-based controller fatigue detection method. The method comprises the steps of obtaining brain waves of a controller, wherein the brain waves include slow alpha waves, alpha waves, beta waves and theta waves; performing calculation to obtain a power percentage of the slow alpha waves, a power ratio of the alpha waves to the beta waves, and a power ratio of the theta waves to the slow alpha waves; obtaining a probability statistics method-based fatigue detection model, and inputting the power percentage of the slow alpha waves, the power ratio of the alpha waves to the beta waves, and the power ratio of the theta waves to the slow alpha waves to the fatigue detection model, thereby obtaining a PERCLOS value simulation result; and performing controller fatigue detection according to the PERCLOS value simulation result. According to the probability statistics method-based controller fatigue detection method and system, brain wave parameters are input to the fatigue detection model built based on a probability statistics method to obtain the PERCLOS value simulation result, and the fatigue detection is performed; and the brain waves are used for indirectly reflecting fatigue levels of people, and a brain wave obtaining method is simple, easy to realize and low in cost.