Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study

Objective: Controlling the spread of the COVID-19 pandemic largely depends on scaling up the testing infrastructure for identifying infected individuals. Consumer-grade wearables may present a solution to detect the presence of infections in the population, but the current paradigm requires collecti...

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Autores principales:	Luca Lonini, Nicholas Shawen, Olivia Botonis, Michael Fanton, Chadrasekaran Jayaraman, Chaithanya Krishna Mummidisetty, Sung Yul Shin, Claire Rushin, Sophia Jenz, Shuai Xu, John A. Rogers, Arun Jayaraman
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	COVID-19 diagnostics digital health soft electronics wearable sensors Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/62b95ff5d5754d06b48a5b7061f16cfe
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spelling	oai:doaj.org-article:62b95ff5d5754d06b48a5b7061f16cfe2021-11-19T00:00:27ZRapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study2168-237210.1109/JTEHM.2021.3058841https://doaj.org/article/62b95ff5d5754d06b48a5b7061f16cfe2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9352760/https://doaj.org/toc/2168-2372Objective: Controlling the spread of the COVID-19 pandemic largely depends on scaling up the testing infrastructure for identifying infected individuals. Consumer-grade wearables may present a solution to detect the presence of infections in the population, but the current paradigm requires collecting physiological data continuously and for long periods of time on each individual, which poses limitations in the context of rapid screening. Technology: Here, we propose a novel paradigm based on recording the physiological responses elicited by a short (~2 minutes) sequence of activities (i.e. “snapshot”), to detect symptoms associated with COVID-19. We employed a novel body-conforming soft wearable sensor placed on the suprasternal notch to capture data on physical activity, cardio-respiratory function, and cough sounds. Results: We performed a pilot study in a cohort of individuals (n=14) who tested positive for COVID-19 and detected altered heart rate, respiration rate and heart rate variability, relative to a group of healthy individuals (n=14) with no known exposure. Logistic regression classifiers were trained on individual and combined sets of physiological features (heartbeat and respiration dynamics, walking cadence, and cough frequency spectrum) at discriminating COVID-positive participants from the healthy group. Combining features yielded an AUC of 0.94 (95% CI=[0.92, 0.96]) using a leave-one-subject-out cross validation scheme. Conclusions and Clinical Impact: These results, although preliminary, suggest that a sensor-based snapshot paradigm may be a promising approach for non-invasive and repeatable testing to alert individuals that need further screening.Luca LoniniNicholas ShawenOlivia BotonisMichael FantonChadrasekaran JayaramanChaithanya Krishna MummidisettySung Yul ShinClaire RushinSophia JenzShuai XuJohn A. RogersArun JayaramanIEEEarticleCOVID-19diagnosticsdigital healthsoft electronicswearable sensorsComputer applications to medicine. Medical informaticsR858-859.7Medical technologyR855-855.5ENIEEE Journal of Translational Engineering in Health and Medicine, Vol 9, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	COVID-19 diagnostics digital health soft electronics wearable sensors Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5
spellingShingle	COVID-19 diagnostics digital health soft electronics wearable sensors Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5 Luca Lonini Nicholas Shawen Olivia Botonis Michael Fanton Chadrasekaran Jayaraman Chaithanya Krishna Mummidisetty Sung Yul Shin Claire Rushin Sophia Jenz Shuai Xu John A. Rogers Arun Jayaraman Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study
description	Objective: Controlling the spread of the COVID-19 pandemic largely depends on scaling up the testing infrastructure for identifying infected individuals. Consumer-grade wearables may present a solution to detect the presence of infections in the population, but the current paradigm requires collecting physiological data continuously and for long periods of time on each individual, which poses limitations in the context of rapid screening. Technology: Here, we propose a novel paradigm based on recording the physiological responses elicited by a short (~2 minutes) sequence of activities (i.e. “snapshot”), to detect symptoms associated with COVID-19. We employed a novel body-conforming soft wearable sensor placed on the suprasternal notch to capture data on physical activity, cardio-respiratory function, and cough sounds. Results: We performed a pilot study in a cohort of individuals (n=14) who tested positive for COVID-19 and detected altered heart rate, respiration rate and heart rate variability, relative to a group of healthy individuals (n=14) with no known exposure. Logistic regression classifiers were trained on individual and combined sets of physiological features (heartbeat and respiration dynamics, walking cadence, and cough frequency spectrum) at discriminating COVID-positive participants from the healthy group. Combining features yielded an AUC of 0.94 (95% CI=[0.92, 0.96]) using a leave-one-subject-out cross validation scheme. Conclusions and Clinical Impact: These results, although preliminary, suggest that a sensor-based snapshot paradigm may be a promising approach for non-invasive and repeatable testing to alert individuals that need further screening.
format	article
author	Luca Lonini Nicholas Shawen Olivia Botonis Michael Fanton Chadrasekaran Jayaraman Chaithanya Krishna Mummidisetty Sung Yul Shin Claire Rushin Sophia Jenz Shuai Xu John A. Rogers Arun Jayaraman
author_facet	Luca Lonini Nicholas Shawen Olivia Botonis Michael Fanton Chadrasekaran Jayaraman Chaithanya Krishna Mummidisetty Sung Yul Shin Claire Rushin Sophia Jenz Shuai Xu John A. Rogers Arun Jayaraman
author_sort	Luca Lonini
title	Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study
title_short	Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study
title_full	Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study
title_fullStr	Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study
title_full_unstemmed	Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study
title_sort	rapid screening of physiological changes associated with covid-19 using soft-wearables and structured activities: a pilot study
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/62b95ff5d5754d06b48a5b7061f16cfe
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Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study

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