title: Using Wearable Technology to Generate Objective Parkinson's Disease Dyskinesia Severity Score: Possibilities for Home Monitoring.
abstract: A variety of clinical scales are available to assess dyskinesia severity in Parkinson's disease patients; however, such assessments are subjective, do not provide long term monitoring, and their use is subject to inter- and intra-rater variability. In this paper, an objective dyskinesia score was developed using an IMU -based motion capture system. Deep brain stimulation (DBS) surgery is currently the only acute intervention that results in the rapidly progressive reduction of dyskinesia's severity; hence, this form of therapy was selected as a model to validate the proposed method. Thirteen Parkinson's disease participants undergoing DBS surgery and 12 age-matched healthy control participants were assessed using the motion capture system. Concurrent Unified Dyskinesia Rating Scale (UDysRS) ratings were also performed. Parkinson's disease participants were assessed pre-operatively and for five visits post-operatively while seated at rest, during arms outstretched and while performing an action task. The kinematic data were used to develop an objective measure defined as the dyskinesia severity score. Generally, a strong correlation was observed between the UDysRS ratings and the full-body dyskinesia severity scores. The results suggest that it is feasible and clinically meaningful to utilize an objective full-body dyskinesia score for the assessment of dyskinesia. The portable motion capture system along with the developed software can be used remotely to monitor the full-body severity of dyskinesia, necessary for therapeutic optimization, especially in the patients home environment.
authors.forename: Mehdi
authors.initials: M
authors.lastname: Delrobaei
authors.forename: Navid
authors.initials: N
authors.lastname: Baktash
authors.forename: Greydon
authors.initials: G
authors.lastname: Gilmore
authors.forename: Kenneth
authors.initials: K
authors.lastname: McIsaac
authors.forename: Mandar
authors.initials: M
authors.lastname: Jog
mesh_terms: D000368:Aged; D000465:Algorithms; D001696:Biomechanical Phenomena; D046690:Deep Brain Stimulation; D020820:Dyskinesias / Q000503:physiopathology* / Q000628:therapy; D004867:Equipment Design; D005260:Female; D006699:Home Care Services; D006801:Humans; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic; D009038:Motion; D009048:Motor Skills; D010300:Parkinson Disease / Q000503:physiopathology* / Q000628:therapy; D015203:Reproducibility of Results; D012984:Software; D000076251:Wearable Electronic Devices