Cargando…

Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition

This paper describes the design of a two channels electrodermal activity (EDA) sensor and two channels electrocardiogram (ECG) sensor. The EDA sensors acquire data on the hands and transmit them to the ECG sensor with wireless WiFi communication for increased wearability. The sensors system acquires...

Descripción completa

Detalles Bibliográficos
Autor principal: Affanni, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181292/
https://www.ncbi.nlm.nih.gov/pubmed/32260321
http://dx.doi.org/10.3390/s20072026
_version_ 1783526016867631104
author Affanni, Antonio
author_facet Affanni, Antonio
author_sort Affanni, Antonio
collection PubMed
description This paper describes the design of a two channels electrodermal activity (EDA) sensor and two channels electrocardiogram (ECG) sensor. The EDA sensors acquire data on the hands and transmit them to the ECG sensor with wireless WiFi communication for increased wearability. The sensors system acquires two EDA channels to improve the removal of motion artifacts that take place if EDA is measured on individuals who need to move their hands in their activities. The ECG channels are acquired on the chest and the ECG sensor is responsible for aligning the two ECG traces with the received packets from EDA sensors; the ECG sensor sends via WiFi the aligned packets to a laptop for real time plot and data storage. The metrological characterization showed high-level performances in terms of linearity and jitter; the delays introduced by the wireless transmission from EDA to ECG sensor have been proved to be negligible for the present application.
format Online
Article
Text
id pubmed-7181292
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-71812922020-04-28 Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition Affanni, Antonio Sensors (Basel) Article This paper describes the design of a two channels electrodermal activity (EDA) sensor and two channels electrocardiogram (ECG) sensor. The EDA sensors acquire data on the hands and transmit them to the ECG sensor with wireless WiFi communication for increased wearability. The sensors system acquires two EDA channels to improve the removal of motion artifacts that take place if EDA is measured on individuals who need to move their hands in their activities. The ECG channels are acquired on the chest and the ECG sensor is responsible for aligning the two ECG traces with the received packets from EDA sensors; the ECG sensor sends via WiFi the aligned packets to a laptop for real time plot and data storage. The metrological characterization showed high-level performances in terms of linearity and jitter; the delays introduced by the wireless transmission from EDA to ECG sensor have been proved to be negligible for the present application. MDPI 2020-04-04 /pmc/articles/PMC7181292/ /pubmed/32260321 http://dx.doi.org/10.3390/s20072026 Text en © 2020 by the author. 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
Affanni, Antonio
Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition
title Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition
title_full Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition
title_fullStr Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition
title_full_unstemmed Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition
title_short Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition
title_sort wireless sensors system for stress detection by means of ecg and eda acquisition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181292/
https://www.ncbi.nlm.nih.gov/pubmed/32260321
http://dx.doi.org/10.3390/s20072026
work_keys_str_mv AT affanniantonio wirelesssensorssystemforstressdetectionbymeansofecgandedaacquisition