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Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications
In this work, we propose a wireless wearable system for the acquisition of multiple biopotentials through charge transfer electrostatic sensors realized in MEMS technology. The system is designed for low power consumption and low invasiveness, and thus candidates for long-time monitoring in free-liv...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002930/ https://www.ncbi.nlm.nih.gov/pubmed/35408181 http://dx.doi.org/10.3390/s22072566 |
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author | Manoni, Alessandro Gumiero, Alessandro Zampogna, Alessandro Ciarlo, Chiara Panetta, Lorenzo Suppa, Antonio Della Torre, Luigi Irrera, Fernanda |
author_facet | Manoni, Alessandro Gumiero, Alessandro Zampogna, Alessandro Ciarlo, Chiara Panetta, Lorenzo Suppa, Antonio Della Torre, Luigi Irrera, Fernanda |
author_sort | Manoni, Alessandro |
collection | PubMed |
description | In this work, we propose a wireless wearable system for the acquisition of multiple biopotentials through charge transfer electrostatic sensors realized in MEMS technology. The system is designed for low power consumption and low invasiveness, and thus candidates for long-time monitoring in free-living conditions, with data recording on an SD or wireless transmission to an external elaborator. Thanks to the wide horizon of applications, research is very active in this field, and in the last few years, some devices have been introduced on the market. The main problem with those devices is that their operation is time-limited, so they do not match the growing demand for long monitoring, which is a must-have feature in diagnosing specific diseases. Furthermore, their versatility is hampered by the fact that they have been designed to record just one type of signal. Using ST-Qvar sensors, we acquired an electrocardiogram trace and single-channel scalp electroencephalogram from the frontal lobes, together with an electrooculogram. Excellent results from all three types of acquisition tests were obtained. The power consumption is very low, demonstrating that, thanks to the MEMS technology, a continuous acquisition is feasible for several days. |
format | Online Article Text |
id | pubmed-9002930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90029302022-04-13 Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications Manoni, Alessandro Gumiero, Alessandro Zampogna, Alessandro Ciarlo, Chiara Panetta, Lorenzo Suppa, Antonio Della Torre, Luigi Irrera, Fernanda Sensors (Basel) Article In this work, we propose a wireless wearable system for the acquisition of multiple biopotentials through charge transfer electrostatic sensors realized in MEMS technology. The system is designed for low power consumption and low invasiveness, and thus candidates for long-time monitoring in free-living conditions, with data recording on an SD or wireless transmission to an external elaborator. Thanks to the wide horizon of applications, research is very active in this field, and in the last few years, some devices have been introduced on the market. The main problem with those devices is that their operation is time-limited, so they do not match the growing demand for long monitoring, which is a must-have feature in diagnosing specific diseases. Furthermore, their versatility is hampered by the fact that they have been designed to record just one type of signal. Using ST-Qvar sensors, we acquired an electrocardiogram trace and single-channel scalp electroencephalogram from the frontal lobes, together with an electrooculogram. Excellent results from all three types of acquisition tests were obtained. The power consumption is very low, demonstrating that, thanks to the MEMS technology, a continuous acquisition is feasible for several days. MDPI 2022-03-27 /pmc/articles/PMC9002930/ /pubmed/35408181 http://dx.doi.org/10.3390/s22072566 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Manoni, Alessandro Gumiero, Alessandro Zampogna, Alessandro Ciarlo, Chiara Panetta, Lorenzo Suppa, Antonio Della Torre, Luigi Irrera, Fernanda Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications |
title | Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications |
title_full | Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications |
title_fullStr | Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications |
title_full_unstemmed | Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications |
title_short | Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications |
title_sort | long-term polygraphic monitoring through mems and charge transfer for low-power wearable applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002930/ https://www.ncbi.nlm.nih.gov/pubmed/35408181 http://dx.doi.org/10.3390/s22072566 |
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