2016
DOI: 10.1212/wnl.0000000000003336
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Objective, computerized video-based rating of blepharospasm severity

Abstract: Objective: To compare clinical rating scales of blepharospasm severity with involuntary eye closures measured automatically from patient videos with contemporary facial expression software. Methods:We evaluated video recordings of a standardized clinical examination from 50 patients with blepharospasm in the Dystonia Coalition's Natural History and Biorepository study. Eye closures were measured on a frame-by-frame basis with software known as the Computer Expression Recognition Toolbox (CERT). The proportion … Show more

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Cited by 23 publications
(19 citation statements)
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“…This software provides an objective assessment of the amount of evidence for different emotions in facial expressions. (For use of this software in other research, see Bartlett, Littlewort, Frank, & Lee, 2014;Gordon, Pierce, Bartlett, & Tanaka, 2014;Peterson et al, 2016;Sikka et al, 2015;Zanette, Gao, Brunet, Bartlett, & Lee, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…This software provides an objective assessment of the amount of evidence for different emotions in facial expressions. (For use of this software in other research, see Bartlett, Littlewort, Frank, & Lee, 2014;Gordon, Pierce, Bartlett, & Tanaka, 2014;Peterson et al, 2016;Sikka et al, 2015;Zanette, Gao, Brunet, Bartlett, & Lee, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…In pilot studies, this strategy was used to quantify blinks and spasms among subjects with blepharospasm (47). The results demonstrated good correlations with clinical rating scales.…”
Section: Objective Measures Projectmentioning
confidence: 99%
“…In addition, TD researchers and clinicians may need to start thinking about optimal ways to adopt new technologies, such as wearable sensors, computerized video-based ratings, and smartphone-based monitoring of abnormal movements and other symptoms. [48][49][50][51] The Working Group also agreed that more research is needed to better understand the relationship between the AIMS and other assessment tools, including patient-reported measures, caregiver/informant measures, functional scales, and quality of life questionnaires. Future research should also include the use of a broader array of descriptive statistics from the AIMS in epidemiologic studies of TD, particularly in at-risk populations (eg, elderly, women) and in different populations of patients requiring antipsychotic treatment (eg, schizophrenia, schizoaffective disorder, bipolar disorder, refractory major depressive disorder).…”
Section: Summary and Future Directionsmentioning
confidence: 99%