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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: Sahandi Far, Mehran, Stolz, Michael, Fischer, Jona M., Eickhoff, Simon B., Dukart, Juergen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639579/
https://www.ncbi.nlm.nih.gov/pubmed/34869177
http://dx.doi.org/10.3389/fpubh.2021.763621
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author Sahandi Far, Mehran
Stolz, Michael
Fischer, Jona M.
Eickhoff, Simon B.
Dukart, Juergen
author_facet Sahandi Far, Mehran
Stolz, Michael
Fischer, Jona M.
Eickhoff, Simon B.
Dukart, Juergen
author_sort Sahandi Far, Mehran
collection PubMed
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.
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spelling pubmed-86395792021-12-04 JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease Sahandi Far, Mehran Stolz, Michael Fischer, Jona M. Eickhoff, Simon B. Dukart, Juergen Front Public Health Public Health 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. Frontiers Media S.A. 2021-11-19 /pmc/articles/PMC8639579/ /pubmed/34869177 http://dx.doi.org/10.3389/fpubh.2021.763621 Text en Copyright © 2021 Sahandi Far, Stolz, Fischer, Eickhoff and Dukart. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Sahandi Far, Mehran
Stolz, Michael
Fischer, Jona M.
Eickhoff, Simon B.
Dukart, Juergen
JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease
title 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_short 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
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639579/
https://www.ncbi.nlm.nih.gov/pubmed/34869177
http://dx.doi.org/10.3389/fpubh.2021.763621
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