Eye Segmentation Method for Telehealth: Application to the Myasthenia Gravis Physical Examination.
Eye Segmentation Method for Telehealth: Application to the Myasthenia Gravis Physical Examination.
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DOI：
10.3390/s23187744
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发表时间：
2023-09-07
期刊：
影响因子：
--
通讯作者：
Garbey M
中科院分区：
文献类型：
--
作者：
Lesport Q;Joerger G;Kaminski HJ;Girma H;McNett S;Abu-Rub M;Garbey M
Due to the precautions put in place during the COVID-19 pandemic, utilization of telemedicine has increased quickly for patient care and clinical trials. Unfortunately, teleconsultation is closer to a video conference than a medical consultation, with the current solutions setting the patient and doctor into an evaluation that relies entirely on a two-dimensional view of each other. We are developing a patented telehealth platform that assists with diagnostic testing of ocular manifestations of myasthenia gravis. We present a hybrid algorithm combining deep learning with computer vision to give quantitative metrics of ptosis and ocular muscle fatigue leading to eyelid droop and diplopia. The method works both on a fixed image and frame by frame of the video in real-time, allowing capture of dynamic muscular weakness during the examination. We then use signal processing and filtering to derive robust metrics of ptosis and l ocular misalignment. In our construction, we have prioritized the robustness of the method versus accuracy obtained in controlled conditions in order to provide a method that can operate in standard telehealth conditions. The approach is general and can be applied to many disorders of ocular motility and ptosis.
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影响因子：
2.4
作者：
Al-Haidar, Mohammed;Benatar, Michael;Kaminski, Henry J.
通讯作者：
Kaminski, Henry J.
影响因子：
4.3
作者：
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通讯作者：
Chen, Xueshuo
影响因子：
3.4
作者：
通讯作者：
--
DOI：
10.36185/2532-1900-066
发表时间：
2022-03-01
期刊：
Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology
影响因子：
--
作者：
Giannotta, Melania;Petrelli, Cristina;Pini, Antonella
通讯作者：
Pini, Antonella
DOI：
10.1007/s10072-021-05566-8
发表时间：
2021-12
期刊：
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
影响因子：
--
作者：
Ricciardi D;Casagrande S;Iodice F;Orlando B;Trojsi F;Cirillo G;Clerico M;Bozzali M;Leocani L;Abbadessa G;Miele G;Tedeschi G;Bonavita S;Lavorgna L;Digital Technologies, Web, Social Media Study Group of the Italian Society of Neurology
通讯作者：
Digital Technologies, Web, Social Media Study Group of the Italian Society of Neurology