Published on in Vol 7 (2024)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52582, first published .
Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Journals

  1. Brust A. KI-unterstützte Bewegungsanalyse in der Neurorehabilitation – Fiktion oder baldige Realität?. neuroreha 2024;16(04):167 View
  2. Brust A. Fiktion oder baldige Realität?. VPT Magazin 2025;11(02):16 View
  3. Sobrino-Santos A, Anuarbe P, Fernandez-Viadero C, García-García R, López-Higuera J, Rodríguez-Cobo L, Cobo A. Non-Contact Platform for the Assessment of Physical Function in Older Adults: A Pilot Study. Technologies 2025;13(6):225 View
  4. Bastardo R, Pavão J, Martins A, Silva A, Rocha N. Patient-Oriented Smart Applications to Support the Diagnosis, Rehabilitation, and Care of Patients with Parkinson’s: An Umbrella Review. Future Internet 2025;17(8):376 View
  5. Karpuzov S, Kalitzin S, Georgieva O, Trifonov A, Stoyanov T, Petkov G. Automated Remote Detection of Falls Using Direct Reconstruction of Optical Flow Principal Motion Parameters. Sensors 2025;25(18):5678 View
  6. Osness E, Isley S, Bertrand J, Dennett L, Bates J, Van Decker N, Stanhope A, Omkar A, Dolgoy N, Ezeugwu V, Tandon P. Markerless Motion Capture Parameters Associated with Fall Risk or Frailty: A Scoping Review. Sensors 2025;25(18):5741 View
  7. Filippatou A, Mowry E. Sensors in Multiple Sclerosis. Current Neurology and Neuroscience Reports 2025;25(1) View