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dc.contributor.author
Barrios, Liliana
dc.contributor.author
Oldrati, Pietro
dc.contributor.author
Hilty, Marc
dc.contributor.author
Lindlbauer, David
dc.contributor.author
Holz, Christian
dc.contributor.author
Lutterotti, Andreas
dc.date.accessioned
2021-10-13T08:45:23Z
dc.date.available
2021-09-26T02:53:20Z
dc.date.available
2021-10-13T08:45:23Z
dc.date.issued
2021-09
dc.identifier.issn
2474-9567
dc.identifier.other
10.1145/3478098
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/507026
dc.description.abstract
Fatigue is a common symptom in various diseases, including multiple sclerosis (MS). The current standard method to assess fatigue is through questionnaires, which has several shortcomings; questionnaires are subjective, prone to recall bias, and potentially confounded by other symptoms like stress and depression. Thus, there is an unmet medical need to develop objective and reliable methods to evaluate fatigue. Our study seeks to develop an objective and ubiquitous monitoring tool for assessing fatigue. Leveraging a smartphone-based rapid tapping task, we conducted a two-week in-the-wild study with 35 MS patients. We explore the association between tapping derived metrics and perceived fatigue assessed with two standard clinical scales: fatigue severity scale (FSS) and fatigue scale for motor and cognitive function (FSMC). Our novel smartphone-based fatigue metric, mean tapping frequency, objectively ranks perceived fatigue with a mean AUCROC = .76, CI = [.71, .81] according to the FSMC, and a mean AUCROC = .81, CI = [.76, .86] according to the FSS. These results demonstrate that our approach is feasible and valid in uncontrolled environments. In this work, we provide a promising tool for objective fatigue monitoring to be used in clinical trials and routine medical care.
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computing Machinery
dc.subject
fatigue
en_US
dc.subject
smartphones
en_US
dc.subject
objective-measurement
en_US
dc.subject
fatigability
en_US
dc.subject
mobile health
en_US
dc.subject
remote-monitoring
en_US
dc.subject
impairment
en_US
dc.subject
multiple sclerosis
en_US
dc.title
Smartphone-Based Tapping Frequency as a Surrogate for Perceived Fatigue: An in-the-Wild Feasibility Study in Multiple Sclerosis Patients
en_US
dc.type
Journal Article
dc.date.published
2021-09-14
ethz.journal.title
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
ethz.journal.volume
5
en_US
ethz.journal.issue
3
en_US
ethz.journal.abbreviated
IMWUT
ethz.pages.start
89
en_US
ethz.size
30 p.
en_US
ethz.event.location
ethz.identifier.scopus
ethz.publication.place
New York, NY
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02658 - Inst. Intelligente interaktive Systeme / Inst. Intelligent Interactive Systems::09649 - Holz, Christian / Holz, Christian
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02658 - Inst. Intelligente interaktive Systeme / Inst. Intelligent Interactive Systems::09649 - Holz, Christian / Holz, Christian
ethz.date.deposited
2021-09-26T02:53:26Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-10-13T08:45:29Z
ethz.rosetta.lastUpdated
2024-02-02T15:05:30Z
ethz.rosetta.versionExported
true
ethz.COinS
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