Real-Time Epilepsy Detection with IMU and Low Power Processor Design

Yu Ju Su; Kuei Ann Wen; Mei Yun Cheng; Chen Nen Chang

doi:10.1109/BMEiCON56653.2022.10012112

Real-Time Epilepsy Detection with IMU and Low Power Processor Design

Yu Ju Su^*
, Kuei Ann Wen
, Mei Yun Cheng
, Chen Nen Chang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, we proposed a system that supplies real-time epilepsy detection system (RED system) with a single inertial measurement unit (IMU) and a low power processing unit. Since the accuracy can reach 99.81%, the specificity can reach 99.81%, and false positive rate of 0.19%, it not only ensures reliability but also provides a quantification analysis for diagnosis. The proposed method has been verified by 60 patients and the processing unit has been implemented into a chip using TSMC 0.18 μm process, which proves the feasibility of mobile device to the RED system.

Original language	English
Title of host publication	BMEiCON 2022 - 14th Biomedical Engineering International Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665489034
DOIs	https://doi.org/10.1109/BMEiCON56653.2022.10012112
State	Published - 2022
Externally published	Yes
Event	14th Biomedical Engineering International Conference, BMEiCON 2022 - Virtual, Online, Thailand Duration: 10 11 2022 → 13 11 2022

Publication series

Name	BMEiCON 2022 - 14th Biomedical Engineering International Conference

Conference

Conference	14th Biomedical Engineering International Conference, BMEiCON 2022
Country/Territory	Thailand
City	Virtual, Online
Period	10/11/22 → 13/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

ASIC
IMU
epilepsy detection
real-time

Access to Document

10.1109/BMEiCON56653.2022.10012112

Cite this

Su, Y. J., Wen, K. A., Cheng, M. Y., & Chang, C. N. (2022). Real-Time Epilepsy Detection with IMU and Low Power Processor Design. In BMEiCON 2022 - 14th Biomedical Engineering International Conference (BMEiCON 2022 - 14th Biomedical Engineering International Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BMEiCON56653.2022.10012112

@inproceedings{b86666cc492a408e86fdd5966c702424,

title = "Real-Time Epilepsy Detection with IMU and Low Power Processor Design",

abstract = "In this work, we proposed a system that supplies real-time epilepsy detection system (RED system) with a single inertial measurement unit (IMU) and a low power processing unit. Since the accuracy can reach 99.81\%, the specificity can reach 99.81\%, and false positive rate of 0.19\%, it not only ensures reliability but also provides a quantification analysis for diagnosis. The proposed method has been verified by 60 patients and the processing unit has been implemented into a chip using TSMC 0.18 μm process, which proves the feasibility of mobile device to the RED system.",

keywords = "ASIC, IMU, epilepsy detection, real-time",

author = "Su, \{Yu Ju\} and Wen, \{Kuei Ann\} and Cheng, \{Mei Yun\} and Chang, \{Chen Nen\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 14th Biomedical Engineering International Conference, BMEiCON 2022 ; Conference date: 10-11-2022 Through 13-11-2022",

year = "2022",

doi = "10.1109/BMEiCON56653.2022.10012112",

language = "英语",

series = "BMEiCON 2022 - 14th Biomedical Engineering International Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "BMEiCON 2022 - 14th Biomedical Engineering International Conference",

address = "美国",

}

Su, YJ, Wen, KA, Cheng, MY & Chang, CN 2022, Real-Time Epilepsy Detection with IMU and Low Power Processor Design. in BMEiCON 2022 - 14th Biomedical Engineering International Conference. BMEiCON 2022 - 14th Biomedical Engineering International Conference, Institute of Electrical and Electronics Engineers Inc., 14th Biomedical Engineering International Conference, BMEiCON 2022, Virtual, Online, Thailand, 10/11/22. https://doi.org/10.1109/BMEiCON56653.2022.10012112

Real-Time Epilepsy Detection with IMU and Low Power Processor Design. / Su, Yu Ju; Wen, Kuei Ann; Cheng, Mei Yun et al.
BMEiCON 2022 - 14th Biomedical Engineering International Conference. Institute of Electrical and Electronics Engineers Inc., 2022. (BMEiCON 2022 - 14th Biomedical Engineering International Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Real-Time Epilepsy Detection with IMU and Low Power Processor Design

AU - Su, Yu Ju

AU - Wen, Kuei Ann

AU - Cheng, Mei Yun

AU - Chang, Chen Nen

PY - 2022

Y1 - 2022

N2 - In this work, we proposed a system that supplies real-time epilepsy detection system (RED system) with a single inertial measurement unit (IMU) and a low power processing unit. Since the accuracy can reach 99.81%, the specificity can reach 99.81%, and false positive rate of 0.19%, it not only ensures reliability but also provides a quantification analysis for diagnosis. The proposed method has been verified by 60 patients and the processing unit has been implemented into a chip using TSMC 0.18 μm process, which proves the feasibility of mobile device to the RED system.

AB - In this work, we proposed a system that supplies real-time epilepsy detection system (RED system) with a single inertial measurement unit (IMU) and a low power processing unit. Since the accuracy can reach 99.81%, the specificity can reach 99.81%, and false positive rate of 0.19%, it not only ensures reliability but also provides a quantification analysis for diagnosis. The proposed method has been verified by 60 patients and the processing unit has been implemented into a chip using TSMC 0.18 μm process, which proves the feasibility of mobile device to the RED system.

KW - ASIC

KW - IMU

KW - epilepsy detection

KW - real-time

UR - https://www.scopus.com/pages/publications/85147250737

U2 - 10.1109/BMEiCON56653.2022.10012112

DO - 10.1109/BMEiCON56653.2022.10012112

M3 - 会议稿件

AN - SCOPUS:85147250737

T3 - BMEiCON 2022 - 14th Biomedical Engineering International Conference

BT - BMEiCON 2022 - 14th Biomedical Engineering International Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th Biomedical Engineering International Conference, BMEiCON 2022

Y2 - 10 November 2022 through 13 November 2022

ER -

Real-Time Epilepsy Detection with IMU and Low Power Processor Design

Abstract

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Bibliographical note

Keywords

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