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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationICICS 2013 - Conference Guide of the 9th International Conference on Information, Communications and Signal Processing
PublisherIEEE Computer Society
DOIs
Publication statusPublished - 2013
Event9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan
Duration: 2013 Dec 102013 Dec 13

Other

Other9th International Conference on Information, Communications and Signal Processing, ICICS 2013
CountryTaiwan
CityTainan
Period13-12-1013-12-13

Fingerprint

Rats
Monitoring
Finite automata
Electroencephalography
Accelerometers
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

Cite this

Wang, Y. L., Liang, S-F., Shaw, F-Z., Huang, Y. H., & Wu, S. Y. (2013). Detection of spontaneous temporal lobe epilepsy in rats by means of 1-axis accelerometor signal. In ICICS 2013 - Conference Guide of the 9th International Conference on Information, Communications and Signal Processing [6782879] IEEE Computer Society. https://doi.org/10.1109/ICICS.2013.6782879
Wang, Yu Lin ; Liang, Sheng-Fu ; Shaw, Fu-Zen ; Huang, Yu Hsin ; Wu, Ssu Yen. / Detection of spontaneous temporal lobe epilepsy in rats by means of 1-axis accelerometor signal. ICICS 2013 - Conference Guide of the 9th International Conference on Information, Communications and Signal Processing. IEEE Computer Society, 2013.
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abstract = "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.",
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Wang, YL, Liang, S-F, Shaw, F-Z, Huang, YH & Wu, SY 2013, Detection of spontaneous temporal lobe epilepsy in rats by means of 1-axis accelerometor signal. in ICICS 2013 - Conference Guide of the 9th International Conference on Information, Communications and Signal Processing., 6782879, IEEE Computer Society, 9th International Conference on Information, Communications and Signal Processing, ICICS 2013, Tainan, Taiwan, 13-12-10. https://doi.org/10.1109/ICICS.2013.6782879

Detection of spontaneous temporal lobe epilepsy in rats by means of 1-axis accelerometor signal. / Wang, Yu Lin; Liang, Sheng-Fu; Shaw, Fu-Zen; Huang, Yu Hsin; Wu, Ssu Yen.

ICICS 2013 - Conference Guide of the 9th International Conference on Information, Communications and Signal Processing. IEEE Computer Society, 2013. 6782879.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Wang YL, Liang S-F, Shaw F-Z, Huang YH, Wu SY. Detection of spontaneous temporal lobe epilepsy in rats by means of 1-axis accelerometor signal. In ICICS 2013 - Conference Guide of the 9th International Conference on Information, Communications and Signal Processing. IEEE Computer Society. 2013. 6782879 https://doi.org/10.1109/ICICS.2013.6782879