Video-Based Biomechanical Analysis Captures Disease-Specific Movement Signatures of Different Neuromuscular Diseases
Video-based biomechanical analysis can complement existing functional movement assessments by capturing more sensitive, disease-specific outcomes from human movement. This technology enables digital health solutions for assessing and monitoring motor function, complementing traditional clinical outcome measures to enhance care, management, and clinical trial design for movement-related conditions. (Funded by the Wu Tsai Human Performance Alliance and others.).
Authors
- Parker S. Ruth (ORCID: https://orcid.org/0000-0003-1030-4916)
- Tina Duong (ORCID: https://orcid.org/0000-0003-3177-4722)
- Scott D. Uhlrich (ORCID: https://orcid.org/0000-0002-3113-367X)
- Julie Muccini (ORCID: https://orcid.org/0000-0001-6118-4999)
- John Day (ORCID: https://orcid.org/0000-0002-0086-9529)
- Scott L. Delp (ORCID: https://orcid.org/0000-0002-9643-7551)
- Sydney Covitz (ORCID: https://orcid.org/0000-0002-7430-4125)
- Antoine Falisse (ORCID: https://orcid.org/0000-0001-9541-0886)
- C. de Monts (ORCID: https://orcid.org/0009-0004-7659-8069)
- S. Vogt-Domke
Institutions
- University of Utah (US)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- NEJM AI
- Published
- 2025-08-28
- DOI
- https://doi.org/10.1056/aioa2401137
- Citations
- 7
- Primary Topic
- Muscle Physiology and Disorders
- Type
- article
- Field-Weighted Citation Impact
- 5.64