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
.
Journals
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- Zhang Y, Ding L, Xu Z, Zha H, Tang X, Li C, Xu S, Yan Z, Jia J. The Feasibility of An Automatical Facial Evaluation System Providing Objective and Reliable Results for Facial Palsy. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023;31:1680 View
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- Nissen L, Hübner J, Klinker J, Kapsecker M, Leube A, Schneckenburger M, Jonas S. Towards Preventing Gaps in Health Care Systems through Smartphone Use: Analysis of ARKit for Accurate Measurement of Facial Distances in Different Angles. Sensors 2023;23(9):4486 View
- 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
- 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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- Andrushchenko M, Selivanova K, Avrunin O, Palii D, Tymchyk S, Turlykozhayeva D. HAND MOVEMENT DISORDERS TRACKING BY SMARTPHONE BASED ON COMPUTER VISION METHODS. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 2024;14(2):5 View
- 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