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Reconfigurable Multiparameter Biosignal Acquisition SoC for Low Power Wearable Platform
A low power and low noise reconfigurable analog front-end (AFE) system on a chip (SoC) for biosignal acquisition is presented. The presented AFE can be reconfigured for use in electropotential, bioimpedance, electrochemical, and photoelectrical modes. The advanced healthcare services based on multip...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190983/ https://www.ncbi.nlm.nih.gov/pubmed/27898004 http://dx.doi.org/10.3390/s16122002 |
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author | Kim, Jongpal Ko, Hyoungho |
author_facet | Kim, Jongpal Ko, Hyoungho |
author_sort | Kim, Jongpal |
collection | PubMed |
description | A low power and low noise reconfigurable analog front-end (AFE) system on a chip (SoC) for biosignal acquisition is presented. The presented AFE can be reconfigured for use in electropotential, bioimpedance, electrochemical, and photoelectrical modes. The advanced healthcare services based on multiparameter physiological biosignals can be easily implemented with these multimodal and highly reconfigurable features of the proposed system. The reconfigurable gain and input referred noise of the core instrumentation amplifier block are 25 dB to 52 dB, and 1 μV(RMS), respectively. The power consumption of the analog blocks in one readout channel is less than 52 μW. The reconfigurable capability among various modes of applications including electrocardiogram, blood glucose concentration, respiration, and photoplethysmography are shown experimentally. |
format | Online Article Text |
id | pubmed-5190983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-51909832017-01-03 Reconfigurable Multiparameter Biosignal Acquisition SoC for Low Power Wearable Platform Kim, Jongpal Ko, Hyoungho Sensors (Basel) Article A low power and low noise reconfigurable analog front-end (AFE) system on a chip (SoC) for biosignal acquisition is presented. The presented AFE can be reconfigured for use in electropotential, bioimpedance, electrochemical, and photoelectrical modes. The advanced healthcare services based on multiparameter physiological biosignals can be easily implemented with these multimodal and highly reconfigurable features of the proposed system. The reconfigurable gain and input referred noise of the core instrumentation amplifier block are 25 dB to 52 dB, and 1 μV(RMS), respectively. The power consumption of the analog blocks in one readout channel is less than 52 μW. The reconfigurable capability among various modes of applications including electrocardiogram, blood glucose concentration, respiration, and photoplethysmography are shown experimentally. MDPI 2016-11-25 /pmc/articles/PMC5190983/ /pubmed/27898004 http://dx.doi.org/10.3390/s16122002 Text en © 2016 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, Jongpal Ko, Hyoungho Reconfigurable Multiparameter Biosignal Acquisition SoC for Low Power Wearable Platform |
title | Reconfigurable Multiparameter Biosignal Acquisition SoC for Low Power Wearable Platform |
title_full | Reconfigurable Multiparameter Biosignal Acquisition SoC for Low Power Wearable Platform |
title_fullStr | Reconfigurable Multiparameter Biosignal Acquisition SoC for Low Power Wearable Platform |
title_full_unstemmed | Reconfigurable Multiparameter Biosignal Acquisition SoC for Low Power Wearable Platform |
title_short | Reconfigurable Multiparameter Biosignal Acquisition SoC for Low Power Wearable Platform |
title_sort | reconfigurable multiparameter biosignal acquisition soc for low power wearable platform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190983/ https://www.ncbi.nlm.nih.gov/pubmed/27898004 http://dx.doi.org/10.3390/s16122002 |
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