2020-fatigue.html

---
layout: publication
year: 2020
month: 5
selected: false
hidden: false
external : false
link: https://dl.acm.org/doi/abs/10.1145/3313831.3376588
pdf: https://dl.acm.org/doi/abs/10.1145/3313831.3376588
title: "A Rapid Tapping Task on Commodity Smartphones to Assess Motor Fatigability"
authors:
  - Liliana Barrios
  - Pietro Oldrati
  - David Lindlbauer
  - Marc Hilty
  - Helen Hayward-Koennecke
  - Christian Holz
  - Andreas Lutterotti
# blog: https://ait.ethz.ch/projects/2019/computationalMR/
doi: 10.1145/3313831.3376588
venue_location: Virtual
venue_url: https://chi2020.acm.org/
venue_tags:
  - CHI
type:
  - Conference
tags:
  - Science
  - Medical
  - Motor Fatigue
venue: CHI

video-thumb: zlnX_ZJzD5w
video-30sec: zlnX_ZJzD5w
# video-suppl: ...
# video-talk-5min: ...
video-talk-15min: iePm5dlAiio

bibtex: "@inbook{10.1145/3313831.3376588, \n
author = {Barrios, Liliana and Oldrati, Pietro and Lindlbauer, David and Hilty, Marc and Hayward-Koennecke, Helen and Holz, Christian and Lutterotti, Andreas}, \n
title = {A Rapid Tapping Task on Commodity Smartphones to Assess Motor Fatigability}, \n
year = {2020}, \n
isbn = {9781450367080}, \n
publisher = {Association for Computing Machinery}, \n
address = {New York, NY, USA}, \n
url = {https://doi.org/10.1145/3313831.3376588}, \n
booktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems}, \n
pages = {1–10}, \n
numpages = {10} \n
}"
---

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.