3D Video Tracking Technology in the Assessment of Orofacial Impairments in Neurological Disease: Clinical Validation.
Purpose: This study sought to determine whether clinically interpretable kinematic features extracted automatically from three-dimensional (3D) videos were correlated with corresponding perceptual clinical orofacial ratings in individuals with orofacial impairments due to neurological disorders. Met...
| Published in: | Journal of Speech, Language & Hearing Research Vol. 66; pp. 3151 - 3166 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Published: |
American Speech-Language-Hearing Association
2023 Supplement
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=171330555&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 171330555 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: 2023 Supplement vid: 66 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 171330555 10.1044/2023_JSLHR-22-00321 ppf: 3151 ppct: 15 formats: fmt: @attributes: type: P size: 1.5MB tig: atl: 3D Video Tracking Technology in the Assessment of Orofacial Impairments in Neurological Disease: Clinical Validation. aug: au: Jafari, Deniz Simmatis, Leif Guarin, Diego Bouvier, Liziane Taati, Babak Yunusova, Yana affil: Department of Speech-Language Pathology, Rehabilitation Sciences Institute, University of Toronto, Ontario, Canada. KITE, Toronto Rehabilitation Institute, University Health Network, Ontario, Canada. University of Florida, Gainesville. Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada. su: Medical technology Speech Research Statistics Three-dimensional imaging Neurological disorders Range of motion of joints Research evaluation Neuromuscular diseases Facial dyskinesias Severity of illness index Comparative studies Intraclass correlation Descriptive statistics Research funding Sensitivity & specificity (Statistics) Biophysics Statistical correlation Data analysis Data analysis software Video recording Kinematics Algorithms Disease complications Evaluation sug: subj: Medical technology Speech Medical, Dental, and Hospital Equipment and Supplies Merchant Wholesalers Surgical and Medical Instrument Manufacturing Surgical Appliance and Supplies Manufacturing Research Statistics Three-dimensional imaging Neurological disorders Range of motion of joints Research evaluation Neuromuscular diseases Facial dyskinesias Severity of illness index Comparative studies Intraclass correlation Descriptive statistics Research funding Sensitivity & specificity (Statistics) Biophysics Statistical correlation Data analysis Data analysis software Video recording Kinematics Algorithms Disease complications Evaluation ab: Purpose: This study sought to determine whether clinically interpretable kinematic features extracted automatically from three-dimensional (3D) videos were correlated with corresponding perceptual clinical orofacial ratings in individuals with orofacial impairments due to neurological disorders. Method: 45 participants (19 diagnosed with motor neuron diseases [MNDs] and 26 poststroke) performed two nonspeech tasks (mouth opening and lip spreading) and one speech task (repetition of a sentence "Buy Bobby a Puppy") while being video-recorded in a standardized lab setting. The color video recordings of participants were assessed by an expert clinician-a speech language pathologist-on the severity of three orofacial measures: symmetry, range of motion (ROM), and speed. Clinically interpretable 3D kinematic features, linked to symmetry, ROM, and speed, were automatically extracted from video recordings, using a deep facial landmark detection and tracking algorithm for each of the three tasks. Spearman correlations were used to identify features that were significantly correlated (p value < .05) with their corresponding clinical scores. Clinically significant kinematic features were then used in the subsequent multivariate regression models to predict the overall orofacial impairment severity score. Results: Several kinematic features extracted from 3D video recordings were associated with their corresponding perceptual clinical scores, indicating clinical validity of these automatically derived measures. Different patterns of significant features were observed between MND and poststroke groups; these differences were aligned with clinical expectations in both cases. Conclusions: The results show that kinematic features extracted automatically from simple clinical tasks can capture characteristics used by clinicians during assessments. These findings support the clinical validity of video-based automatic extraction of kinematic features. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|