This paper is in the following e-collection/theme issue:

Design and Formative Evaluation of Mobile Apps (699) New Methods (946) Imaging Informatics (194) mHealth for Data Collection and Research (955) Cognitive and Neurorehabilitation (263)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19346, first published .
Utilization of Smartphone Depth Mapping Cameras for App-Based Grading of Facial Movement Disorders: Development and Feasibility Study

Utilization of Smartphone Depth Mapping Cameras for App-Based Grading of Facial Movement Disorders: Development and Feasibility Study

Utilization of Smartphone Depth Mapping Cameras for App-Based Grading of Facial Movement Disorders: Development and Feasibility Study

Authors of this article:

Johannes Taeger1 Author Orcid Image ;   Stefanie Bischoff1 Author Orcid Image ;   Rudolf Hagen1 Author Orcid Image ;   Kristen Rak1 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

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  7. Alagha M, Ju X, Morley S, Ayoub A. Mathematical Validation of the Modified Sunnybrook Facial Grading System Using Four-dimensional Imaging. Journal of Plastic and Reconstructive Surgery 2023;2(3):77 View
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  9. Mato‑Patino T, Sánchez‑Cuadrado I, Peñarrocha J, Morales‑Puebla J, Díez‑Sebastián J, Gavilán J, Lassaletta L. Validation of the Spanish version of the Electronic Facial Palsy Assessment (eFACE). European Archives of Oto-Rhino-Laryngology 2024;281(2):673 View
  10. Ikezawa N, Okamoto T, Yoshida Y, Kurihara S, Takahashi N, Nakada T, Haneishi H. Toward an application of automatic evaluation system for central facial palsy using two simple evaluation indices in emergency medicine. Scientific Reports 2024;14(1) View
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  14. Machetanz K, Lins M, Roder C, Naros G, Tatagiba M, Hurth H. Innovative mobile app solution for facial nerve rehabilitation: a usability analysis. Frontiers in Digital Health 2024;6 View