JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease

Health-related data being collected by smartphones offer a promising complementary approach to in-clinic assessments. Despite recent contributions, the trade-off between privacy, optimization, stability and research-grade data quality is not well met by existing platforms. Here we introduce the JTra...

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Autores principales:	Mehran Sahandi Far, Michael Stolz, Jona M. Fischer, Simon B. Eickhoff, Juergen Dukart
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	mobile toolkit mobile sensing remote monitoring health science biomarkers Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/b021c268105a418f9a2c9f9506e415ee
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spelling	oai:doaj.org-article:b021c268105a418f9a2c9f9506e415ee2021-11-19T04:58:02ZJTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease2296-256510.3389/fpubh.2021.763621https://doaj.org/article/b021c268105a418f9a2c9f9506e415ee2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpubh.2021.763621/fullhttps://doaj.org/toc/2296-2565Health-related data being collected by smartphones offer a promising complementary approach to in-clinic assessments. Despite recent contributions, the trade-off between privacy, optimization, stability and research-grade data quality is not well met by existing platforms. Here we introduce the JTrack platform as a secure, reliable and extendable open-source solution for remote monitoring in daily-life and digital-phenotyping. JTrack is an open-source (released under open-source Apache 2.0 licenses) platform for remote assessment of digital biomarkers (DB) in neurological, psychiatric and other indications. JTrack is developed and maintained to comply with security, privacy and the General Data Protection Regulation (GDPR) requirements. A wide range of anonymized measurements from motion-sensors, social and physical activities and geolocation information can be collected in either active or passive modes by using JTrack Android-based smartphone application. JTrack also provides an online study management dashboard to monitor data collection across studies. To facilitate scaling, reproducibility, data management and sharing we integrated DataLad as a data management infrastructure. Smartphone-based Digital Biomarker data may provide valuable insight into daily-life behaviour in health and disease. As illustrated using sample data, JTrack provides as an easy and reliable open-source solution for collection of such information.Mehran Sahandi FarMehran Sahandi FarMichael StolzJona M. FischerSimon B. EickhoffSimon B. EickhoffJuergen DukartJuergen DukartFrontiers Media S.A.articlemobile toolkitmobile sensingremote monitoringhealth sciencebiomarkersPublic aspects of medicineRA1-1270ENFrontiers in Public Health, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	mobile toolkit mobile sensing remote monitoring health science biomarkers Public aspects of medicine RA1-1270
spellingShingle	mobile toolkit mobile sensing remote monitoring health science biomarkers Public aspects of medicine RA1-1270 Mehran Sahandi Far Mehran Sahandi Far Michael Stolz Jona M. Fischer Simon B. Eickhoff Simon B. Eickhoff Juergen Dukart Juergen Dukart JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease
description	Health-related data being collected by smartphones offer a promising complementary approach to in-clinic assessments. Despite recent contributions, the trade-off between privacy, optimization, stability and research-grade data quality is not well met by existing platforms. Here we introduce the JTrack platform as a secure, reliable and extendable open-source solution for remote monitoring in daily-life and digital-phenotyping. JTrack is an open-source (released under open-source Apache 2.0 licenses) platform for remote assessment of digital biomarkers (DB) in neurological, psychiatric and other indications. JTrack is developed and maintained to comply with security, privacy and the General Data Protection Regulation (GDPR) requirements. A wide range of anonymized measurements from motion-sensors, social and physical activities and geolocation information can be collected in either active or passive modes by using JTrack Android-based smartphone application. JTrack also provides an online study management dashboard to monitor data collection across studies. To facilitate scaling, reproducibility, data management and sharing we integrated DataLad as a data management infrastructure. Smartphone-based Digital Biomarker data may provide valuable insight into daily-life behaviour in health and disease. As illustrated using sample data, JTrack provides as an easy and reliable open-source solution for collection of such information.
format	article
author	Mehran Sahandi Far Mehran Sahandi Far Michael Stolz Jona M. Fischer Simon B. Eickhoff Simon B. Eickhoff Juergen Dukart Juergen Dukart
author_facet	Mehran Sahandi Far Mehran Sahandi Far Michael Stolz Jona M. Fischer Simon B. Eickhoff Simon B. Eickhoff Juergen Dukart Juergen Dukart
author_sort	Mehran Sahandi Far
title	JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease
title_short	JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease
title_full	JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease
title_fullStr	JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease
title_full_unstemmed	JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease
title_sort	jtrack: a digital biomarker platform for remote monitoring of daily-life behaviour in health and disease
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/b021c268105a418f9a2c9f9506e415ee
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JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease

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