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An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection

In this paper, the design of a smart headband for epileptic seizure detection is presented. The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) an epileptic seizure detection tag (ESDT); 3) a Bluetooth low-power chip; and 4) customized electrodes. All the abov...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147694/
https://www.ncbi.nlm.nih.gov/pubmed/30245945
http://dx.doi.org/10.1109/JTEHM.2018.2861882
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description In this paper, the design of a smart headband for epileptic seizure detection is presented. The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) an epileptic seizure detection tag (ESDT); 3) a Bluetooth low-power chip; and 4) customized electrodes. All the above components are integrated into a fabric headband with only 50.3 g. The smart headband system dissipates 55.89 mW. The epileptic seizure detection algorithm inside ESDT is validated by using Boston Children’s Hospital’s CHB-MIT scalp EEG clinical database with the detection rate of 92.68% and the false alarm of 0.527/h. We develop a service APP connected to the cloud so that the patients’ health condition can be recorded and then referenced by doctors for further diagnosis or research.
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spelling pubmed-61476942018-09-21 An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection IEEE J Transl Eng Health Med Article In this paper, the design of a smart headband for epileptic seizure detection is presented. The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) an epileptic seizure detection tag (ESDT); 3) a Bluetooth low-power chip; and 4) customized electrodes. All the above components are integrated into a fabric headband with only 50.3 g. The smart headband system dissipates 55.89 mW. The epileptic seizure detection algorithm inside ESDT is validated by using Boston Children’s Hospital’s CHB-MIT scalp EEG clinical database with the detection rate of 92.68% and the false alarm of 0.527/h. We develop a service APP connected to the cloud so that the patients’ health condition can be recorded and then referenced by doctors for further diagnosis or research. IEEE 2018-08-17 /pmc/articles/PMC6147694/ /pubmed/30245945 http://dx.doi.org/10.1109/JTEHM.2018.2861882 Text en 2168-2372 © 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
spellingShingle Article
An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection
title An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection
title_full An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection
title_fullStr An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection
title_full_unstemmed An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection
title_short An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection
title_sort ultra-low power smart headband for real-time epileptic seizure detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147694/
https://www.ncbi.nlm.nih.gov/pubmed/30245945
http://dx.doi.org/10.1109/JTEHM.2018.2861882
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