Andrea Bandini1, Jordan R Green2, Jun Wang3,4, Thomas F Campbell4, Lorne Zinman5,6, Yana Yunusova1,6,7. 1. University Health Network, Toronto Rehabilitation Institute, Ontario, Canada. 2. Department of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA. 3. Department of Bioengineering, The University of Texas at Dallas, Richardson. 4. Callier Center for Communication Disorders, The University of Texas at Dallas. 5. Neurology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada. 6. Brain Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada. 7. Department of Speech-Language Pathology, University of Toronto, Ontario, Canada.
Abstract
Purpose: The goals of this study were to (a) classify speech movements of patients with amyotrophic lateral sclerosis (ALS) in presymptomatic and symptomatic phases of bulbar function decline relying solely on kinematic features of lips and jaw and (b) identify the most important measures that detect the transition between early and late bulbar changes. Method: One hundred ninety-two recordings obtained from 64 patients with ALS were considered for the analysis. Feature selection and classification algorithms were used to analyze lip and jaw movements recorded with Optotrak Certus (Northern Digital Inc.) during a sentence task. A feature set, which included 35 measures of movement range, velocity, acceleration, jerk, and area measures of lips and jaw, was used to classify sessions according to the speaking rate into presymptomatic (> 160 words per minute) and symptomatic (< 160 words per minute) groups. Results: Presymptomatic and symptomatic phases of bulbar decline were distinguished with high accuracy (87%), relying only on lip and jaw movements. The best features that allowed detecting the differences between early and later bulbar stages included cumulative path of lower lip and jaw, peak values of velocity, acceleration, and jerk of lower lip and jaw. Conclusion: The results established a relationship between facial kinematics and bulbar function decline in ALS. Considering that facial movements can be recorded by means of novel inexpensive and easy-to-use, video-based methods, this work supports the development of an automatic system for facial movement analysis to help clinicians in tracking the disease progression in ALS.
Purpose: The goals of this study were to (a) classify speech movements of patients with amyotrophic lateral sclerosis (ALS) in presymptomatic and symptomatic phases of bulbar function decline relying solely on kinematic features of lips and jaw and (b) identify the most important measures that detect the transition between early and late bulbar changes. Method: One hundred ninety-two recordings obtained from 64 patients with ALS were considered for the analysis. Feature selection and classification algorithms were used to analyze lip and jaw movements recorded with Optotrak Certus (Northern Digital Inc.) during a sentence task. A feature set, which included 35 measures of movement range, velocity, acceleration, jerk, and area measures of lips and jaw, was used to classify sessions according to the speaking rate into presymptomatic (> 160 words per minute) and symptomatic (< 160 words per minute) groups. Results: Presymptomatic and symptomatic phases of bulbar decline were distinguished with high accuracy (87%), relying only on lip and jaw movements. The best features that allowed detecting the differences between early and later bulbar stages included cumulative path of lower lip and jaw, peak values of velocity, acceleration, and jerk of lower lip and jaw. Conclusion: The results established a relationship between facial kinematics and bulbar function decline in ALS. Considering that facial movements can be recorded by means of novel inexpensive and easy-to-use, video-based methods, this work supports the development of an automatic system for facial movement analysis to help clinicians in tracking the disease progression in ALS.
Authors: Michael A van Es; Orla Hardiman; Adriano Chio; Ammar Al-Chalabi; R Jeroen Pasterkamp; Jan H Veldink; Leonard H van den Berg Journal: Lancet Date: 2017-05-25 Impact factor: 79.321
Authors: Jun Wang; Prasanna V Kothalkar; Myungjong Kim; Yana Yunusova; Thomas F Campbell; Daragh Heitzman; Jordan R Green Journal: Workshop Speech Lang Process Assist Technol Date: 2016-09
Authors: Jordan R Green; Yana Yunusova; Mili S Kuruvilla; Jun Wang; Gary L Pattee; Lori Synhorst; Lorne Zinman; James D Berry Journal: Amyotroph Lateral Scler Frontotemporal Degener Date: 2013-07-30 Impact factor: 4.092
Authors: Yana Yunusova; Ashley Waito; Carolina Barnett; Anna Huynh; Rosemary Martino; Agessandro Abrahao; Gary L Pattee; James D Berry; Lorne Zinman; Jordan R Green Journal: BMJ Open Date: 2022-03-08 Impact factor: 2.692
Authors: Andrea Bandini; Sia Rezaei; Diego L Guarin; Madhura Kulkarni; Derrick Lim; Mark I Boulos; Lorne Zinman; Yana Yunusova; Babak Taati Journal: IEEE J Biomed Health Inform Date: 2021-04-06 Impact factor: 5.772