Smartphone-Based Tapping Frequency as a Surrogate for Perceived Fatigue
Autor: | Pietro Oldrati, Marc Hilty, Liliana Barrios, Christian Holz, David Lindlbauer, Andreas Lutterotti |
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Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Computer Networks and Communications business.industry Multiple sclerosis Cognition medicine.disease Medical care Human-Computer Interaction Clinical trial Physical medicine and rehabilitation Hardware and Architecture Recall bias Medicine Tapping Metric (unit) business Depression (differential diagnoses) |
Zdroj: | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5:1-30 |
ISSN: | 2474-9567 |
DOI: | 10.1145/3478098 |
Popis: | 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. |
Databáze: | OpenAIRE |
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