A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System
Epilepsy, as a common brain disease, causes great pain and stress to patients around the world. At present, the main treatment methods are drug, surgical, and electrical stimulation therapies. Electrical stimulation has recently emerged as an alternative treatment for reducing symptomatic seizures....
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MDPI AG
2024-12-01
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| author | Liang-Hung Wang Zhen-Nan Zhang Chao-Xin Xie Hao Jiang Tao Yang Qi-Peng Ran Ming-Hui Fan I-Chun Kuo Zne-Jung Lee Jian-Bo Chen Tsung-Yi Chen Shih-Lun Chen Patricia Angela R. Abu |
| author_facet | Liang-Hung Wang Zhen-Nan Zhang Chao-Xin Xie Hao Jiang Tao Yang Qi-Peng Ran Ming-Hui Fan I-Chun Kuo Zne-Jung Lee Jian-Bo Chen Tsung-Yi Chen Shih-Lun Chen Patricia Angela R. Abu |
| author_sort | Liang-Hung Wang |
| collection | DOAJ |
| description | Epilepsy, as a common brain disease, causes great pain and stress to patients around the world. At present, the main treatment methods are drug, surgical, and electrical stimulation therapies. Electrical stimulation has recently emerged as an alternative treatment for reducing symptomatic seizures. This study proposes a novel closed-loop epilepsy detection system and stimulation control chip. A time-domain detection algorithm based on amplitude, slope, line length, and signal energy characteristics is introduced. A new threshold calculation method is proposed; that is, the threshold is updated by means of the mean and standard deviation of four consecutive eigenvalues through parameter combination. Once a seizure is detected, the system begins to control the stimulation of a two-phase pulse current with an amplitude and frequency of 34 μA and 200 Hz, respectively. The system is physically designed on the basis of the UMC 55 nm process and verified by a field programmable gate array verification board. This research is conducted through innovative algorithms to reduce power consumption and the area of the circuit. It can maintain a high accuracy of more than 90% and perform seizure detection every 64 ms. It is expected to provide a new treatment for patients with epilepsy. |
| format | Article |
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| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-ca9f120ccf814df3ad0a424377bcc9612025-01-10T13:20:37ZengMDPI AGSensors1424-82202024-12-012513310.3390/s25010033A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation SystemLiang-Hung Wang0Zhen-Nan Zhang1Chao-Xin Xie2Hao Jiang3Tao Yang4Qi-Peng Ran5Ming-Hui Fan6I-Chun Kuo7Zne-Jung Lee8Jian-Bo Chen9Tsung-Yi Chen10Shih-Lun Chen11Patricia Angela R. Abu12The Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, ChinaThe Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, ChinaThe Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, ChinaThe Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, ChinaThe Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, ChinaThe Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, ChinaThe Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, ChinaCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, ChinaSchool of Advanced Manufacturing, Fuzhou University, Quanzhou 362200, ChinaDepartment of Information and Telecommunications Engineering, Ming Chuan University, Taoyuan 32023, TaiwanDepartment of Electronic Engineering, Feng Chia University, Taichung 40724, TaiwanThe Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan 32023, TaiwanThe Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon City 1108, PhilippinesEpilepsy, as a common brain disease, causes great pain and stress to patients around the world. At present, the main treatment methods are drug, surgical, and electrical stimulation therapies. Electrical stimulation has recently emerged as an alternative treatment for reducing symptomatic seizures. This study proposes a novel closed-loop epilepsy detection system and stimulation control chip. A time-domain detection algorithm based on amplitude, slope, line length, and signal energy characteristics is introduced. A new threshold calculation method is proposed; that is, the threshold is updated by means of the mean and standard deviation of four consecutive eigenvalues through parameter combination. Once a seizure is detected, the system begins to control the stimulation of a two-phase pulse current with an amplitude and frequency of 34 μA and 200 Hz, respectively. The system is physically designed on the basis of the UMC 55 nm process and verified by a field programmable gate array verification board. This research is conducted through innovative algorithms to reduce power consumption and the area of the circuit. It can maintain a high accuracy of more than 90% and perform seizure detection every 64 ms. It is expected to provide a new treatment for patients with epilepsy.https://www.mdpi.com/1424-8220/25/1/33epilepsy detectionASICclosed loopelectrical stimulationfeature extraction |
| spellingShingle | Liang-Hung Wang Zhen-Nan Zhang Chao-Xin Xie Hao Jiang Tao Yang Qi-Peng Ran Ming-Hui Fan I-Chun Kuo Zne-Jung Lee Jian-Bo Chen Tsung-Yi Chen Shih-Lun Chen Patricia Angela R. Abu A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System Sensors epilepsy detection ASIC closed loop electrical stimulation feature extraction |
| title | A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System |
| title_full | A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System |
| title_fullStr | A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System |
| title_full_unstemmed | A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System |
| title_short | A Novel Real-Time Threshold Algorithm for Closed-Loop Epilepsy Detection and Stimulation System |
| title_sort | novel real time threshold algorithm for closed loop epilepsy detection and stimulation system |
| topic | epilepsy detection ASIC closed loop electrical stimulation feature extraction |
| url | https://www.mdpi.com/1424-8220/25/1/33 |
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