Disclosures: Anne Kuwabara, MD: No financial relationships or conflicts of interest

Objective: This study aims to use a single hip-mounted IMU sensor to evaluate Sit-To-Stand (STS) performance between healthy controls (HC) and patients with musculoskeletal pain [Lumbar Spinal Stenosis (LSS) and Knee Osteoarthritis (KOA)] and use of sensor-derived features for disease phenotyping.

Design: Case series Setting : Academic medical center outpatient clinic Participants : Thirty participants were enrolled (10 KOA, 10 LSS, and 10 HC). Average age: LSS (70.3 ± 9.4 yrs old), KOA (63.9 ± 8.1 yrs old), HC (61.2 ± 9.9 yrs old). Average BMI: LSS (29.6 ± 4.1), KOA (33.2 ± 8.4), HC (27.2 ± 4.1). Gender distribution: LSS (3 male, 7 female), KOA (4 male, 6 female), HC (5 male, 5 female).

Interventions: Each participant completed a 30-second STS test wearing a Shimmer3 IMU sensor on the right hip. For each trial, only the first 5 STS cycles were analyzed to ensure signal quality consistency. After IMU orientation correction, the trunk inclination angle (TA), the vertical acceleration, and the sagittal angular velocity were extracted from each STS cycle.

Main Outcome Measures: The range of each derived measure and the cycle-by-cycle variation of each derived measure were analyzed as the primary outcome measures.

Results: Patients with musculoskeletal pain exhibited slower STS movement than HC. An increased TA range per STS cycle was also observed (65.1° ± 20.1° for LSS, 76.2° ± 19.6° for KOA) in comparison with HC (52.9° ± 17.4°, p=0.044). Additionally, the cycle-by-cycle variation for TA was found to be significantly different (p=0.02) between and patients with musculoskeletal pain. The TA cycle-by-cycle variation was also associated (ρ=-0.45, p < 0.01) with the perceived pain while doing daily activities. Conclusions: The range of trunk inclination and its variation among each sit-to-stand cycles were identified as key features that may be uniquely sensitive to the sit-to-stand test evaluation among musculoskeletal pain patients. These findings could facilitate sensor-based sit-to-stand evaluation in the clinical setting.

Level of Evidence: Level IV

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PM&R Meeting Abstracts - https://pmrjabstracts.org/abstract/imu-based-sit-to-stand-performance-measurement-among-patients-with-musculoskeletal-pain/