Title :
A low-cost real-time closed-loop epileptic seizure monitor and controller
Author :
Chung-Ping Young ; Chao-Hsien Hsieh ; Hsu-Chuan Wang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
Epilepsy is a neurological disorder, which sometimes cannot be successfully treated. We propose a real-time closed-loop monitoring and controlling device for epileptic seizure detection and suppression. This wireless-networked embedded device includes signal conditioning circuitry, a stimulator, and a microcontroller with a wireless transceiver. A TI CC2430 receives the conditioned EEG signals and performs feature extraction on them to determine if a seizure has happened. The ZigBee-based wireless transceiver transmits the EEG data to the backend computer for future off-line study. If a seizure is detected after the real-time computation, an enabling signal is sent to the stimulator to generate stimulating pulses to suppress the seizure. The feature extraction is implemented using entropy and spectrum analysis, followed by an LLS classifier. A fast seizure detection response time of around 0.6 s and a seizure detection algorithm accuracy of above 95%, when applied to a standard dataset, were achieved with the proposed portable embedded device.
Keywords :
biomedical communication; biomedical electronics; closed loop systems; electroencephalography; embedded systems; entropy; feature extraction; least squares approximations; medical control systems; medical disorders; medical signal detection; microcontrollers; patient monitoring; portable instruments; signal classification; spectral analysis; EEG signal; LLS classifier; TI CC2430 receives; ZigBee-based wireless transceiver; entropy; epileptic seizure detection; epileptic seizure suppression; feature extraction; linear least square classifier; low-cost real-time closed-loop monitoring; microcontroller; neurological disorder; portable embedded device; signal conditioning circuitry; spectrum analysis; wireless-networked embedded device; Circuits; Electroencephalography; Entropy; Epilepsy; Feature extraction; Microcontrollers; Monitoring; Pulse generation; Signal generators; Transceivers; EEG; ZigBee; closed-loop; epilepsy; real-time; seizure;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3352-0
DOI :
10.1109/IMTC.2009.5168743