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

Journals

  1. Thielker J, Kuttenreich A, Volk G, Guntinas-Lichius O. Idiopathische Fazialisparese (Bell-Parese): Aktueller Stand in Diagnostik und Therapie. Laryngo-Rhino-Otologie 2021;100(12):1004 View
  2. Volk G, Roediger B, Geißler K, Kuttenreich A, Klingner C, Dobel C, Guntinas-Lichius O. Effect of an Intensified Combined Electromyography and Visual Feedback Training on Facial Grading in Patients With Post-paralytic Facial Synkinesis. Frontiers in Rehabilitation Sciences 2021;2 View
  3. Knoedler L, Baecher H, Kauke-Navarro M, Prantl L, Machens H, Scheuermann P, Palm C, Baumann R, Kehrer A, Panayi A, Knoedler S. Towards a Reliable and Rapid Automated Grading System in Facial Palsy Patients: Facial Palsy Surgery Meets Computer Science. Journal of Clinical Medicine 2022;11(17):4998 View
  4. de Jongh F, Sanches E, Pouwels S, ten Harkel T, Ingels K. E-Health and telemedicine applications in plastic surgery and the treatment of facial palsy. Health Sciences Review 2022;2:100009 View
  5. 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
  6. Sari K, Saputro I, Hariani L. Use of a Three-dimensional Smartphone Scanner in the Quantitative Analysis of Repaired Unilateral Cleft Lip during the Coronavirus Disease Pandemic. Plastic and Reconstructive Surgery - Global Open 2023;11(3):e4895 View
  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
  8. 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
  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
  11. Ballmaier J, Hölzer S, Geitner M, Kuttenreich A, Erfurth C, Guntinas-Lichius O, Volk G. Telemedizin bei Fazialisparese. HNO 2024;72(10):702 View
  12. Jindanil T, Xu L, Fontenele R, Perula M, Jacobs R. Smartphone applications for facial scanning: A technical and scoping review. Orthodontics & Craniofacial Research 2024 View
  13. 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
  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