Sensors, 2023 · DOI: https://doi.org/10.3390/s23218659 · Published: October 24, 2023
This study focuses on the risk of musculoskeletal disorders (MDs) in manual wheelchair users (MWCUs) due to overuse of their upper limbs, which can lead to a loss of independence. The researchers aimed to quantify the risk level associated with different slope propulsions using fuzzy logic. The study involved seventeen participants with spinal cord injuries who propelled their wheelchairs on a motorized treadmill with varying inclinations. A motion capture system and instrumented wheels were used to collect data, which was then analyzed using a biomechanical model and fuzzy logic to develop an Articular Discomfort Index (ADI). The findings indicated that articular discomfort increased during propulsion on a slope, particularly at the shoulder, elbow, and wrist, due to increased kinetics. The Articular Discomfort Index (ADI) increased from 14 to 36% during slope propulsion for each joint.
Findings can inform the design of manual wheelchairs to reduce stress on upper limb joints, especially during uphill propulsion.
The study supports evidence-based recommendations for slope steepness in public buildings to minimize the risk of musculoskeletal disorders for wheelchair users.
The identification of high-risk situations allows for the development of targeted interventions to reduce the risk of MDs in MWCUs, such as training on proper propulsion techniques.