作者: Johannes Taeger , Stefanie Bischoff , Rudolf Hagen , Kristen Rak
DOI: 10.2196/19346
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摘要: Background: For the classification of facial paresis, various systems description and evaluation in form clinician-graded or software-based scoring are available. They serve purpose scientific clinical assessment spontaneous course disease monitoring therapeutic interventions. Nevertheless, none have been able to achieve universal acceptance everyday practice. Hence, a quick precise tool for assessing functional status nerve would be desirable. In this context, possibilities that TrueDepth camera recent iPhone models offer sparked our interest. Objective: This paper describes utilization iPhone’s via specially developed app prototype quick, objective, reproducible quantification asymmetries. Methods: After conceptual user interface design, native iOS was programmed accesses processes data camera. Using special algorithm, new index grading unilateral paresis ranging from 0% 100% developed. The algorithm adapted well-established Stennert by weighting individual regions based on cosmetic aspects. Test measurements with healthy subjects using were performed order prove reliability system. Results: development process, had no runtime buildtime errors also worked under suboptimal conditions such as different measurement angles, so it met criteria safe reliable app. newly defined expresses result generally understandable percentage value each half face. correctly rated expressions individuals symmetrical all cases showed statistically significant intertest variability. Conclusions: Based experience subjects, use should considerable potential app-based movement disorders. its which is theoretical considerations, evaluated prospective study correlated common scores.