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
November 16, 2023 Β· Declared Dead Β· π International Conference on Informatics in Control, Automation and Robotics
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Authors
Vittorio Lippi, Isabelle Daniela Walz, Tobias Heimbach, Simone Meier, Jochen Brich, Christian Haverkamp, Christoph Maurer
arXiv ID
2311.09716
Category
q-bio.NC
Cross-listed
cs.HC
Citations
0
Venue
International Conference on Informatics in Control, Automation and Robotics
Last Checked
3 months ago
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.
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