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Invisible ECG for High Throughput Screening in eSports

eSports is a rapidly growing industry with increasing investment and large-scale international tournaments offering significant prizes. This has led to an increased focus on individual and team performance with factors such as communication, concentration, and team intelligence identified as importa...

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Detalles Bibliográficos
Autores principales: Silva, Aline Santos, Correia, Miguel Velhote, Silva, Hugo Plácido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620828/
https://www.ncbi.nlm.nih.gov/pubmed/34833674
http://dx.doi.org/10.3390/s21227601
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author Silva, Aline Santos
Correia, Miguel Velhote
Silva, Hugo Plácido
author_facet Silva, Aline Santos
Correia, Miguel Velhote
Silva, Hugo Plácido
author_sort Silva, Aline Santos
collection PubMed
description eSports is a rapidly growing industry with increasing investment and large-scale international tournaments offering significant prizes. This has led to an increased focus on individual and team performance with factors such as communication, concentration, and team intelligence identified as important to success. Over a similar period of time, personal physiological monitoring technologies have become commonplace with clinical grade assessment available across a range of parameters that have evidenced utility. The use of physiological data to assess concentration is an area of growing interest in eSports. However, body-worn devices, typically used for physiological data collection, may constitute a distraction and/or discomfort for the subjects. To this end, in this work we devise a novel “invisible” sensing approach, exploring new materials, and proposing a proof-of-concept data collection system in the form of a keyboard armrest and mouse. These enable measurements as an extension of the interaction with the computer. In order to evaluate the proposed approach, measurements were performed using our system and a gold standard device, involving 7 healthy subjects. A particularly advantageous characteristic of our setup is the use of conductive nappa leather, as it preserves the standard look and feel of the keyboard and mouse. According to the results obtained, this approach shows 3–15% signal loss, with a mean difference in heart rate between the reference and experimental device of −1.778 ± 4.654 beats per minute (BPM); in terms of ECG waveform morphology, the best cases show a Pearson correlation coefficient above 0.99.
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spelling pubmed-86208282021-11-27 Invisible ECG for High Throughput Screening in eSports Silva, Aline Santos Correia, Miguel Velhote Silva, Hugo Plácido Sensors (Basel) Article eSports is a rapidly growing industry with increasing investment and large-scale international tournaments offering significant prizes. This has led to an increased focus on individual and team performance with factors such as communication, concentration, and team intelligence identified as important to success. Over a similar period of time, personal physiological monitoring technologies have become commonplace with clinical grade assessment available across a range of parameters that have evidenced utility. The use of physiological data to assess concentration is an area of growing interest in eSports. However, body-worn devices, typically used for physiological data collection, may constitute a distraction and/or discomfort for the subjects. To this end, in this work we devise a novel “invisible” sensing approach, exploring new materials, and proposing a proof-of-concept data collection system in the form of a keyboard armrest and mouse. These enable measurements as an extension of the interaction with the computer. In order to evaluate the proposed approach, measurements were performed using our system and a gold standard device, involving 7 healthy subjects. A particularly advantageous characteristic of our setup is the use of conductive nappa leather, as it preserves the standard look and feel of the keyboard and mouse. According to the results obtained, this approach shows 3–15% signal loss, with a mean difference in heart rate between the reference and experimental device of −1.778 ± 4.654 beats per minute (BPM); in terms of ECG waveform morphology, the best cases show a Pearson correlation coefficient above 0.99. MDPI 2021-11-16 /pmc/articles/PMC8620828/ /pubmed/34833674 http://dx.doi.org/10.3390/s21227601 Text en © 2021 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
Silva, Aline Santos
Correia, Miguel Velhote
Silva, Hugo Plácido
Invisible ECG for High Throughput Screening in eSports
title Invisible ECG for High Throughput Screening in eSports
title_full Invisible ECG for High Throughput Screening in eSports
title_fullStr Invisible ECG for High Throughput Screening in eSports
title_full_unstemmed Invisible ECG for High Throughput Screening in eSports
title_short Invisible ECG for High Throughput Screening in eSports
title_sort invisible ecg for high throughput screening in esports
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620828/
https://www.ncbi.nlm.nih.gov/pubmed/34833674
http://dx.doi.org/10.3390/s21227601
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