research-article

A Rapid Tapping Task on Commodity Smartphones to Assess Motor Fatigability

Authors:

Liliana Barrios,

Pietro Oldrati,

David Lindlbauer,

Helen Hayward-Koennecke,

Christian Holz,

Andreas LutterottiAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 10

https://doi.org/10.1145/3313831.3376588

Published: 23 April 2020 Publication History

Abstract

Fatigue is a common debilitating symptom of many autoimmune diseases, including multiple sclerosis. It negatively impacts patients' every-day life and productivity. Despite its prevalence, fatigue is still poorly understood. Its subjective nature makes quantification challenging and it is mainly assessed by questionnaires, which capture the magnitude of fatigue insufficiently. Motor fatigability, the objective decline of performance during a motor task, is an underrated aspect in this regard. Currently, motor fatigability is assessed using a handgrip dynamometer. This approach has been proven valid and accurate but requires special equipment and trained personnel. We propose a technique to objectively quantify motor fatigability using a commodity smartphone. The method comprises a simple exertion task requiring rapid alternating tapping. Our study with 20 multiple sclerosis patients and 35 healthy participants showed a correlation of rho = 0.8 with the baseline handgrip method. This smartphone-based approach is a first step towards ubiquitous, more frequent, and remote monitoring of fatigability and disease progression.

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Cited By

Antonioni ABaroni AMilani GCordioli IStraudi S(2024)Role of Smartphone Applications in the Assessment and Management of Fatigue in Patients with Multiple Sclerosis: A Scoping ReviewSclerosis10.3390/sclerosis20100042:1(42-64)Online publication date: 11-Feb-2024
https://doi.org/10.3390/sclerosis2010004
Gashi SOldrati PMoebus MHilty MBarrios LOzdemir FKana VLutterotti ARätsch GHolz C(2024)Modeling multiple sclerosis using mobile and wearable sensor datanpj Digital Medicine10.1038/s41746-024-01025-87:1Online publication date: 11-Mar-2024
https://doi.org/10.1038/s41746-024-01025-8
Turimov Mustapoevich DKim W(2023)Machine Learning Applications in Sarcopenia Detection and Management: A Comprehensive SurveyHealthcare10.3390/healthcare1118248311:18(2483)Online publication date: 7-Sep-2023
https://doi.org/10.3390/healthcare11182483
Show More Cited By

Index Terms

A Rapid Tapping Task on Commodity Smartphones to Assess Motor Fatigability
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
    2. Interaction devices
      1. Touch screens
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices
      1. Mobile devices

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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Published: 23 April 2020

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ETH Zurich Postdoctoral Fellowship Programme
Clinical Research Priority Project Precision MS, University of Zurich.

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CHI '20

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CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Antonioni ABaroni AMilani GCordioli IStraudi S(2024)Role of Smartphone Applications in the Assessment and Management of Fatigue in Patients with Multiple Sclerosis: A Scoping ReviewSclerosis10.3390/sclerosis20100042:1(42-64)Online publication date: 11-Feb-2024
https://doi.org/10.3390/sclerosis2010004
Gashi SOldrati PMoebus MHilty MBarrios LOzdemir FKana VLutterotti ARätsch GHolz C(2024)Modeling multiple sclerosis using mobile and wearable sensor datanpj Digital Medicine10.1038/s41746-024-01025-87:1Online publication date: 11-Mar-2024
https://doi.org/10.1038/s41746-024-01025-8
Turimov Mustapoevich DKim W(2023)Machine Learning Applications in Sarcopenia Detection and Management: A Comprehensive SurveyHealthcare10.3390/healthcare1118248311:18(2483)Online publication date: 7-Sep-2023
https://doi.org/10.3390/healthcare11182483
Nishida NIkematsu KSato JYamanaka STsubouchi K(2023)Single-tap Latency Reduction with Single- or Double- tap PredictionProceedings of the ACM on Human-Computer Interaction10.1145/36042717:MHCI(1-26)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604271
Masson DMalacria SVogel DLank ECasiez G(2023)ChartDetective: Easy and Accurate Interactive Data Extraction from Complex Vector ChartsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581113(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581113
Bieg TReisinger MFröhlich PHametner BMöstl S(2023)Task performance with touchscreen interfaces under conditions of head-down tilt bed restCEAS Space Journal10.1007/s12567-023-00497-w16:3(333-349)Online publication date: 12-May-2023
https://doi.org/10.1007/s12567-023-00497-w
Barrios LAmon ROldrati PHilty MHolz CLutterotti A(2022)Cognitive fatigability assessment test (cFAST): Development of a new instrument to assess cognitive fatigability and pilot study on its association to perceived fatigue in multiple sclerosisDIGITAL HEALTH10.1177/205520762211177408(205520762211177)Online publication date: 25-Aug-2022
https://doi.org/10.1177/20552076221117740
Chen CKim JGarg NGuntupalli HJagsi RGriggs JSabel MDorsch MCallaghan BHertz D(2021)Chemotherapy-Induced Peripheral Neuropathy Detection via a Smartphone App: Cross-sectional Pilot StudyJMIR mHealth and uHealth10.2196/275029:7(e27502)Online publication date: 5-Jul-2021
https://doi.org/10.2196/27502
Barrios LOldrati PHilty MLindlbauer DHolz CLutterotti A(2021)Smartphone-Based Tapping Frequency as a Surrogate for Perceived FatigueProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34780985:3(1-30)Online publication date: 14-Sep-2021
https://dl.acm.org/doi/10.1145/3478098

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