A-neuron Electronic Corporation

Pei-Chen Lin

Chia-Chi Chang

Cheng-Hsiang Cheng

Yue-Loong Hsin

Po-Huang Chen

Yue-loong Hsin

A method for generating stimulation parameters, an electrical stimulation control apparatus and an electrical stimulation system are provided. After receiving a brainwave signal, the brainwave signal is decomposed to obtain a first sub-signal and a second sub-signal. Then, the first sub-signal is analyzed to obtain an intrinsic frequency series, and the second sub-signal is converted to a Boolean signal. Subsequently, the intrinsic frequency series and the Boolean signal, which serve as a set of stimulation parameters, are outputted to the stimulator, enabling the stimulator to generate a stimulus signal.

Method for generating stimulation parameters, electrical stimulation control apparatus and electrical stimulation system

The present invention discloses a brain activity analysis method and apparatus, which is based on a nonlinear waveform decomposition technology, wherein the changes of the intrinsic features in brain waves are decomposed and demodulated to extract the modulation signals of the components, including the frequency-modulation signals and the amplitude-modulation signals. The present invention further uses a feature mask to determine whether to proceed further decomposition and demodulation of the extracted modulation signals. If not, the multidimensional changes of the intrinsic features are obtained according to the feature mask. Then, quantitation and identification is performed to obtain the status of brain function. The present invention not only effectively increases the accuracy of the identification but also uses the feature mask to obviously reduce the complexity and the load of computation.

Brain activity analysis method and apparatus thereof

A method and a system for processing an electroencephalogram (EEG) signal are provided. The method for processing the EEG signal includes: performing a spike detection on the EEG signal to obtain a spike distribution waveform, performing an instantaneous frequency oscillation energy analysis on the EEG signal to obtain multiple energy distribution waveforms; performing a complexity analysis on the EEG signal to obtain a complexity change waveform, obtaining a determination result of a specified neural waveform based on the spike distribution waveform, the energy distribution waveforms, and the complexity change waveform, and outputting the determination result.

Method and system for processing electroencephalogram signal

An electrical stimulation controlling device and an electrical stimulation system are provided. In which, the electrical stimulation controlling device includes a receiving circuit and a controller coupled to the receiving circuit. The receiving circuit is configured to receive an ictal neural signal which is a signal obtained by a detector when a neural event has been occurring. The controller is further coupled to a stimulator and configured to: determine a time point to start an electrical stimulation according to the ictal neural signal after an onset of the neural event has been determined; and generate and transmit a control signal to the stimulator for providing the electrical stimulation according to the determined time point.

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Hsinchu, Taiwan

Pei-Chen Lin