Detection of spontaneous temporal lobe epilepsy in rats by means of 1-axis accelerometor signal

Yu Lin Wang, Sheng-Fu Liang, Fu-Zen Shaw, Yu Hsin Huang, Ssu Yen Wu

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

Epilepsy is the most common psychological disorders in humans. Patients suffering from epilepsy usually experience behavioral symptoms, such as involuntary movement and rage reaction. Conventional monitoring with electroencephalogram and video is unpleasant for patients and not feasible for long-term monitoring. In this work, a seizure detection system with an accelerometer set on the subject's head is proposed to monitor the behavioral activities and to detect the seizure events in subjects. The Wistar rats with temporal lobe epilepsy (TLE) were used in our experiment. To reduce the computational energy, only one axis signal was utilized for seizure detection. A three-state finite state machine (FSM) was applied to determine the seizure activities, and the temporal features of y-axis ACC signal were calculated for state transition. The results show that our proposed on-line detection method can achieve 100% accuracy with extremely low false alarm rate of 0.035. It has the advantage of easy measurement and good performance for real-world applicability.

原文English
主出版物標題ICICS 2013 - Conference Guide of the 9th International Conference on Information, Communications and Signal Processing
發行者IEEE Computer Society
DOIs
出版狀態Published - 2013
事件9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan
持續時間: 2013 十二月 102013 十二月 13

Other

Other9th International Conference on Information, Communications and Signal Processing, ICICS 2013
國家/地區Taiwan
城市Tainan
期間13-12-1013-12-13

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 資訊系統
  • 訊號處理

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