Authors:
Vittorio Lippi
1
;
2
;
Isabelle Walz
2
;
3
;
Tobias Heimbach
2
;
Simone Meier
2
;
Jochen Brich
2
;
Christian Haverkamp
1
and
Christoph Maurer
2
Affiliations:
1
Institute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
;
2
Clinic of Neurology and Neurophysiology, Medical Centre, University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Straße 64, 79106, Freiburg im Breisgau, Germany
;
3
Department of Sport and Sport Science, University of Freiburg, Freiburg, Germany
Keyword(s):
iPhone Arkit, Neurology, Diagnostic Tests, Body Tracking.
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.