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@INPROCEEDINGS{Turna:1040650,
author = {Turna, Mehran and Fischer, Jona Marcus and Dukart, Jürgen
and Narava, Mamaka},
title = {{JT}rack: a digital biomarker platform for remote
monitoring of daily-life behaviour in health and disease},
reportid = {FZJ-2025-01984},
year = {2025},
abstract = {The use of research software in digital health is becoming
increasingly vital, particularly in the remote monitoring of
neurological and psychiatric conditions. My work focuses on
the development and implementation of the JTrack platform,
an open-source solution designed for continuous data
collection from smartphones, which serves as a scalable and
privacy-compliant tool for digital biomarker acquisition.
This software ecosystem includes JTrack Social for sensor
data collection, JTrack EMA for ecological momentary
assessment, and JDash for study management, allowing for
comprehensive data handling in research studies. JTrack’s
ability to securely collect health-related data, such as
motion, social interactions, and geolocation, makes it a
critical tool for digital phenotyping, particularly in the
study of diseases like Parkinson’s and other neurological
disorders.Our work has highlighted JTrack's potential in
remote assessments, using longitudinal data collected via
smartphones. For example, it was successfully integrated
with DataLad, ensuring reproducibility, scalability, and
data privacy in accordance with GDPR regulations.
Applications of this software have already been demonstrated
in the publications used by Jtrack. The use of research
software like JTrack is a promising advancement in digital
health, facilitating a more comprehensive understanding of
patient health beyond the clinical environment.In this talk,
I will discuss the technical architecture of JTrack, its
applications in ongoing research projects, and its
implications for future research. Specifically, I will
explore how research software enhances reproducibility,
scalability, and data security in digital health studies.
Moreover, the talk will highlight the lessons learned from
deploying these tools in real-world studies and address the
challenges and opportunities that lie ahead in developing
research software for health monitoring.By leveraging robust
open-source platforms, researchers and clinicians can access
real-time, actionable insights into patient health, paving
the way for innovative digital therapeutics and more
personalized healthcare solutions.},
month = {Feb},
date = {2025-02-26},
organization = {deRSE25 - 5th conference for Research
Software Engineering in Germany,
Karlsruhe (Germany), 26 Feb 2025 - 26
Feb 2025},
subtyp = {Invited},
cin = {INM-7},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
pid = {G:(DE-HGF)POF4-5252},
typ = {PUB:(DE-HGF)6},
url = {https://juser.fz-juelich.de/record/1040650},
}