Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Manoni, Alessandro, Gumiero, Alessandro, Zampogna, Alessandro, Ciarlo, Chiara, Panetta, Lorenzo, Suppa, Antonio, Della Torre, Luigi, Irrera, Fernanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784686009012715520
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
work_keys_str_mv AT manonialessandro longtermpolygraphicmonitoringthroughmemsandchargetransferforlowpowerwearableapplications
AT gumieroalessandro longtermpolygraphicmonitoringthroughmemsandchargetransferforlowpowerwearableapplications
AT zampognaalessandro longtermpolygraphicmonitoringthroughmemsandchargetransferforlowpowerwearableapplications
AT ciarlochiara longtermpolygraphicmonitoringthroughmemsandchargetransferforlowpowerwearableapplications
AT panettalorenzo longtermpolygraphicmonitoringthroughmemsandchargetransferforlowpowerwearableapplications
AT suppaantonio longtermpolygraphicmonitoringthroughmemsandchargetransferforlowpowerwearableapplications
AT dellatorreluigi longtermpolygraphicmonitoringthroughmemsandchargetransferforlowpowerwearableapplications
AT irrerafernanda longtermpolygraphicmonitoringthroughmemsandchargetransferforlowpowerwearableapplications