Abstract
Objective: This pilot study investigates the feasibility of using video data to evaluate sit-to-stand transition parameters and explores how people with PD sit-to-stand in a naturalistic setting.
Background: People with Parkinson's disease (PD) show changes in sit-to-stand transitions which are related to bradykinesia and balance. People with PD experience difficulties initiating the transition, and reduced speed from seat-off to fully erect posture. Impairment in performance of sit-to-stand transitions is linked to reduced functional independence and physical inactivity. Sit-to-stand transition episodes occur frequently in the indoor setting, making their study amenable at home. Datasets showing free-living real world sit-to-stand episodes with video ground truth in PD are uncommon and potentially valuable in understanding this functionally relevant movement.
Methods: 12 people with PD and 12 control participants were recruited. While the participants stayed in a home-like setting for five days in pairs, color video was captured from wall-mounted cameras for around two hours per day. This video data recorded both free-living and observed clinical assessments, and sit-to-stand episodes were quantified by clinician raters. Statistical techniques were used to evaluate the correlation between sit-to-stand parameters, the presence of PD or control and disease severity.
Results: The PD cohort had longer sit-to-stand episode durations and slower transition speed than the control cohort. Sit-to-stand episode duration positively correlated with disease severity markers. There was an inverse correlation between sit-to-stand transition duration and speed.
Conclusions: We demonstrate the feasibility of creating a real-world video dataset capturing and quantifying sit-to-stand transitions. We present results from free-living, offering insight into how people with PD sit-to-stand in a home setting. We explore the utility of measuring both sit-to-stand transition duration and speed as potential digital biomarkers of PD progression.
Background: People with Parkinson's disease (PD) show changes in sit-to-stand transitions which are related to bradykinesia and balance. People with PD experience difficulties initiating the transition, and reduced speed from seat-off to fully erect posture. Impairment in performance of sit-to-stand transitions is linked to reduced functional independence and physical inactivity. Sit-to-stand transition episodes occur frequently in the indoor setting, making their study amenable at home. Datasets showing free-living real world sit-to-stand episodes with video ground truth in PD are uncommon and potentially valuable in understanding this functionally relevant movement.
Methods: 12 people with PD and 12 control participants were recruited. While the participants stayed in a home-like setting for five days in pairs, color video was captured from wall-mounted cameras for around two hours per day. This video data recorded both free-living and observed clinical assessments, and sit-to-stand episodes were quantified by clinician raters. Statistical techniques were used to evaluate the correlation between sit-to-stand parameters, the presence of PD or control and disease severity.
Results: The PD cohort had longer sit-to-stand episode durations and slower transition speed than the control cohort. Sit-to-stand episode duration positively correlated with disease severity markers. There was an inverse correlation between sit-to-stand transition duration and speed.
Conclusions: We demonstrate the feasibility of creating a real-world video dataset capturing and quantifying sit-to-stand transitions. We present results from free-living, offering insight into how people with PD sit-to-stand in a home setting. We explore the utility of measuring both sit-to-stand transition duration and speed as potential digital biomarkers of PD progression.
| Original language | English |
|---|---|
| Article number | 376 |
| Pages (from-to) | S195-S196 |
| Journal | Movement Disorders |
| Volume | 37 |
| Issue number | S2 |
| Early online date | 27 Sept 2022 |
| DOIs | |
| Publication status | Published - 27 Sept 2022 |
| Event | 2022 International Congress of Parkinson's Disease and Movement Disorders - Madrid, Spain Duration: 15 Sept 2022 → 18 Sept 2022 https://www.mdsabstracts.org/meetings/2022-international-congress/?viewby=sessions |