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

Vittorio Lippi, Vittorio Lippi, Isabelle Walz, Isabelle Walz, Tobias Heimbach, Simone Meier, Jochen Brich, Christian Haverkamp, Christoph Maurer

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.

Paper Citation

in Harvard Style

Lippi V., Walz I., Heimbach T., Meier S., Brich J., Haverkamp C. and Maurer C. (2023). 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. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-670-5, SciTePress, pages 181-188. DOI: 10.5220/0012208600003543

in Bibtex Style

@conference{icinco23,
author={Vittorio Lippi and Isabelle Walz and Tobias Heimbach and Simone Meier and Jochen Brich and Christian Haverkamp and Christoph Maurer},
title={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},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2023},
pages={181-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012208600003543},
isbn={978-989-758-670-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - 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
SN - 978-989-758-670-5
AU - Lippi V.
AU - Walz I.
AU - Heimbach T.
AU - Meier S.
AU - Brich J.
AU - Haverkamp C.
AU - Maurer C.
PY - 2023
SP - 181
EP - 188
DO - 10.5220/0012208600003543
PB - SciTePress