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Reliability Analysis of an Epileptic Seizure Detector Powered by an Energy Harvester
Due to a limited lifetime of a battery, energy harvesters have been studied as alternative energy sources for implantable biomedical devices such as an implantable stimulator for epileptic seizure suppression. However, energy harvesters have weakness in providing stable power. We designed a neural r...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019978/ https://www.ncbi.nlm.nih.gov/pubmed/31905932 http://dx.doi.org/10.3390/mi11010045 |
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author | Kim, Sunhee Ju, Suna Ji, Chang-Hyeon |
author_facet | Kim, Sunhee Ju, Suna Ji, Chang-Hyeon |
author_sort | Kim, Sunhee |
collection | PubMed |
description | Due to a limited lifetime of a battery, energy harvesters have been studied as alternative energy sources for implantable biomedical devices such as an implantable stimulator for epileptic seizure suppression. However, energy harvesters have weakness in providing stable power. We designed a neural recording circuit powered solely by a piezoelectric energy harvester, and applied its output to a seizure detector to analyze the reliability of the recorded signal. Performance of the seizure detector was evaluated. We found that the average time differences between with and without voltage variances were about 0.05 s under regular vibrations and about 0.07 s under irregular vibrations, respectively. The ratio of average true positive alarm period varied within about 0.02% under regular vibrations and 0.029% under irregular vibrations, respectively. The ratio of average false positive alarm period varied within about 0.004% under regular vibrations and 0.014% under irregular vibrations, respectively. This paper presents a reliability analysis of an epileptic seizure detector with a neural signal recording circuit powered by a piezoelectric energy harvester. The results showed that a supply voltage variance within ±10% could be acceptable for reliable operation of a seizure detector. |
format | Online Article Text |
id | pubmed-7019978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70199782020-03-09 Reliability Analysis of an Epileptic Seizure Detector Powered by an Energy Harvester Kim, Sunhee Ju, Suna Ji, Chang-Hyeon Micromachines (Basel) Article Due to a limited lifetime of a battery, energy harvesters have been studied as alternative energy sources for implantable biomedical devices such as an implantable stimulator for epileptic seizure suppression. However, energy harvesters have weakness in providing stable power. We designed a neural recording circuit powered solely by a piezoelectric energy harvester, and applied its output to a seizure detector to analyze the reliability of the recorded signal. Performance of the seizure detector was evaluated. We found that the average time differences between with and without voltage variances were about 0.05 s under regular vibrations and about 0.07 s under irregular vibrations, respectively. The ratio of average true positive alarm period varied within about 0.02% under regular vibrations and 0.029% under irregular vibrations, respectively. The ratio of average false positive alarm period varied within about 0.004% under regular vibrations and 0.014% under irregular vibrations, respectively. This paper presents a reliability analysis of an epileptic seizure detector with a neural signal recording circuit powered by a piezoelectric energy harvester. The results showed that a supply voltage variance within ±10% could be acceptable for reliable operation of a seizure detector. MDPI 2019-12-30 /pmc/articles/PMC7019978/ /pubmed/31905932 http://dx.doi.org/10.3390/mi11010045 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Sunhee Ju, Suna Ji, Chang-Hyeon Reliability Analysis of an Epileptic Seizure Detector Powered by an Energy Harvester |
title | Reliability Analysis of an Epileptic Seizure Detector Powered by an Energy Harvester |
title_full | Reliability Analysis of an Epileptic Seizure Detector Powered by an Energy Harvester |
title_fullStr | Reliability Analysis of an Epileptic Seizure Detector Powered by an Energy Harvester |
title_full_unstemmed | Reliability Analysis of an Epileptic Seizure Detector Powered by an Energy Harvester |
title_short | Reliability Analysis of an Epileptic Seizure Detector Powered by an Energy Harvester |
title_sort | reliability analysis of an epileptic seizure detector powered by an energy harvester |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019978/ https://www.ncbi.nlm.nih.gov/pubmed/31905932 http://dx.doi.org/10.3390/mi11010045 |
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