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Using the Built-in iPhone Body Tracking System for Neurological Tests: The Example of Assessing Arm Weakness in Stroke Patients. A Preliminary Evaluation of Accuracy and Performance

Authors :
Lippi, Vittorio
Walz, Isabelle Daniela
Heimbach, Tobias
Meier, Simone
Brich, Jochen
Haverkamp, Christian
Maurer, Christoph
Source :
In Proceedings of ICINCO 2023 - Volume 2, pages 181-188 ISBN: 978-989-758-670-5; ISSN: 2184-2809
Publication Year :
2023

Abstract

Timely treatment of stroke is critical to minimize brain damage. Therefore, efforts are being made to educate the public on detecting stroke symptoms, e.g., face, arms, and speech test (FAST). In this position paper, we propose to perform the arm weakness test using the integrated video tracking from an iPhone - some general tests to assess the tracking quality and discuss potential critical points. The test has been performed on 4 stroke patients. The result is compared with the report of the clinician. Although presenting some limitations, the system proved to be able to detect arm weakness as a symptom of stroke. We envisage that introducing a portable body tracking system in such clinical tests will provide advantages in terms of objectivity, repeatability, and the possibility to record and compare groups of patients.<br />Comment: 8 pages. Presented at ICINCO 2023, november 2023 Rome (Italy)

Details

Database :
arXiv
Journal :
In Proceedings of ICINCO 2023 - Volume 2, pages 181-188 ISBN: 978-989-758-670-5; ISSN: 2184-2809
Publication Type :
Report
Accession number :
edsarx.2311.09716
Document Type :
Working Paper
Full Text :
https://doi.org/10.5220/0000168300003543