Validation of the Clinician-Graded Electronic Facial Paralysis Assessment

Chong, Lauren; Eviston, Timothy J.; Low, Tsu-Hui Hubert; Hasmat, Shaheen; Coulson, Susan; Clark, Jonathan

doi:10.1097/prs.0000000000003447

Cited by 22 publications

(21 citation statements)

References 24 publications

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“…. in cases of both acute peripheral nerve palsy and recovery" (49). This tool has been found to have high test-retest reliability (50), have high validity and reliability (49), and had positive feedback from a panel of international facial nerve experts (51).…”

Section: Future Directionsmentioning

confidence: 99%

A Systematic Review of Physical Rehabilitation of Facial Palsy

et al. 2020

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Section: Future Directionsmentioning

confidence: 99%

A Systematic Review of Physical Rehabilitation of Facial Palsy

et al. 2020

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“…However, this grading system has been criticized as it does not score accurately each facial function [101]. To address this issue, a tool called "Electronic Facial Paralysis Assessment" was described by Banks et al 102], and was later validated against multiple grading scales (Spearman rho: 0.72 -0.90) [103].…”

Section: Muscular Basismentioning

confidence: 99%

A Survey on Computer Vision for Assistive Medical Diagnosis From Faces

Thevenot

López

Hadid

2018

IEEE J. Biomed. Health Inform.

131

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Automatic medical diagnosis is an emerging center of interest in computer vision as it provides unobtrusive objective information on a patient's condition. The face, as a mirror of health status, can reveal symptomatic indications of specific diseases. Thus, the detection of facial abnormalities or atypical features is at upmost importance when it comes to medical diagnostics. This survey aims to give an overview of the recent developments in medical diagnostics from facial images based on computer vision methods. Various approaches have been considered to assess facial symptoms and to eventually provide further help to the practitioners. However, the developed tools are still seldom used in clinical practice, since their reliability is still a concern due to the lack of clinical validation of the methodologies and their inadequate applicability. Nonetheless, efforts are being made to provide robust solutions suitable for healthcare environments, by dealing with practical issues such as real-time assessment or patients positioning. This survey provides an updated collection of the most relevant and innovative solutions in facial images analysis. The findings show that with the help of computer vision methods, over 30 medical conditions can be preliminarily diagnosed from the automatic detection of some of their symptoms. Furthermore, future perspectives, such as the need for interdisciplinary collaboration and collecting publicly available databases, are highlighted.

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“…The Sydney Facial Grading System, which assesses voluntary movement of the five branches of the facial nerve and overall synkinesis, has also been used regionally in Australia [1,6,26] and reported in International Facial Nerve Symposium Conference Proceedings over a 20-year period.…”

Section: Sydney Facial Grading Systemmentioning

confidence: 99%

“…The effects of FNP are not only limited to physical and aesthetic deficits caused by weakness, synkinesis (involuntary muscle movements accompanying voluntary movements) and asymmetry of the resting and moving face [1][2][3][5][6][7][8][9][10]. FNP is also associated with functional effects such as oral incontinence, speech deficits, dry eye and subsequent corneal damage, and psychosocial effects such as decreased self-esteem, psychological distress, depression, and reduced quality of life [1][2][3][5][6][7][8][9][10]. It is therefore desirable that individuals with FNP receive appropriate help for their condition to reduce deficits and improve functional outcomes.…”

Section: Introductionmentioning

confidence: 99%