Abstract:
An apparatus and method for generating brain waves for dieting of a user are disclosed. The brain wave generating apparatus may include a brain wave detection unit to detect whether brain waves related to an increase in appetite are generated from a user; and a brain wave generation unit to generate brain waves related to suppression of appetite when the brain waves related to the increase in appetite are generated from the user.
Abstract:
Provided is a device for measuring biomedical data from a testee, with a recording system for taking the data and a first hardware component for displaying the data. A device for electrical separation of the data is arranged in a connector line for transmitting the data from the recording system to the first hardware component for displaying the data. At least a duplication of the data for data processing purposes is thus guaranteed. The data processed in said manner are used for a method for real-time stimulation of a testee.
Abstract:
Embodiments of the disclosed technology provide a combination electroencephalography and non-invasive stimulation devices. Upon measuring an electrical anomaly in a region of a brain, various tDCS or other electrical stimulations are utilized to correct neural activity. Devices of the disclosed technology may utilize visual, balance, auditory, and other stimuli to test the subject, analyze necessary brain stimulations, and administer stimulation to the brain.
Abstract:
An apparatus and a method of enhancing at least one of memory ability and parasympathetic activity of a subject are provided. The apparatus includes a training element for increasing a mu rhythm of the subject, and the method includes a step of increasing the mu rhythm of the subject.
Abstract:
A device and method for generating a representation of a subject's attention level. The device comprises means for measuring brain signals from the subject; means for extracting temporal features from the brain signals; means for classifying the extracted temporal features using a classifier to give a score x1; means for extracting spectral-spatial features from the brain signals; means for selecting spectral-spatial features containing discriminative information between concentration and non-concentration states from the set of extracted spectral-spatial features; means for classifying the selected spectral-spatial features using a classifier to give a score x2; means for combining the scores x1 and x2 to give a single score; and means for presenting said score to the subject.
Abstract:
An interactive implantable medical device system includes an implantable medical device and a network-enabled external device capable of bi-directional communication and interaction with the implantable medical device. The external device is programmed to interact with other similarly-enabled devices. The system facilitates improved patient care by eliminating unnecessary geographic limitations on implantable medical device interrogation and programming, and by allowing patients, physicians, and other users to access medical records, history, and information and to receive status and care-related alerts and messages anywhere there is access to a communications network.
Abstract:
A training device aims to indicate a targeted object to be gazed at by a trainee, then trainee's visual sight to the targeted object is obstructed. After a selected duration a hint is given to the trainee to execute command actions related to the targeted object. Through completeness degree of trainee's execution of the command actions trainee's stillness can be evaluated and trained. During measuring electrophysiological signals such as brainwaves, trainee's feedback command actions can serve as a basis for measurement of electrophysiological signals.
Abstract:
A closed loop Deep Brain Stimulation (DBS) system constituted of: a physiological sensor; a multi-electrode DBS lead; an adaptive control system in communication with the physiological sensor; and an implantable pulse generator (IPG) responsive to the adaptive control system, the adaptive control system comprising a learning module operable to learn to find the optimal stimulation parameters, classify and associate patient conditions responsive to the physiological sensor with optimal stimulation parameters in a plurality of patient conditions. The adaptive DBS device control system learns to deliver the optimal stimulation parameters based on Watkins and Dayan Q learning recursive formula, the closed loop adaptive DBS control system thus finds the optimal stimulation parameters online.
Abstract:
The dominant brain wave frequencies of a patient are measured by an electroencephalogram (EEG) with a plurality of leads over the head and scalp. In a process for low energy neuro-feedback, the therapeutically beneficial low power RF field is sequentially applied via the same at a different frequency, which is generally offset from the dominant frequency by 5 to 20 Hz. The order of applying these low power stimuli to the different leads is optimized based on the activity observed at each lead and its variation over time. Leads positions having a greater Coefficient of Variation are treated first.
Abstract:
Various embodiments of a biological interface system and related methods are disclosed. The system may comprise a sensor comprising a plurality of electrodes for detecting multicellular signals emanating from one or more living cells of a patient and a processing unit configured to receive the multicellular signals from the sensor and process the multicellular signals to produce a processed signal. The processing unit may be configured to transmit the processed signal to a controlled device that is configured to receive the processed signal. The system is configured to perform an integrated patient training routine to generate one or more system configuration parameters that are used by the processing unit to produce the processed signal.