期刊
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
卷 25, 期 9, 页码 1612-1621出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNSRE.2017.2683488
关键词
Gait modification; real-time biofeedback; electromyography; knee joint; contact force
资金
- Australian National Health and Medical Research Council [628850]
- Royal Society of NZ Marsden Fund [12-UOA-1221]
- U.S. National Institutes of Health [R01EB009351]
- EU-F7 Grant BioMot [611695]
- Australian Research Council Linkage Project scheme [LP150100905]
- Griffith University Areas of Strategic Investment Fund
- Griffith University and Menzies Health Institute Queensland
- U.K. Engineering and Physical Sciences Research Council [EP/K03877X/1]
- EPSRC [EP/K03877X/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/K03877X/1] Funding Source: researchfish
Biofeedback assisted rehabilitation and intervention technologies have the potential to modify clinically relevant biomechanics. Gait retraining has been used to reduce the knee adduction moment, a surrogate of medial tibiofemoral joint loading often used in knee osteoarthritis research. In this paper, we present an electromyogram-driven neuromusculoskeletal model of the lower-limb to estimate, in real-time, the tibiofemoral joint loads. The model included 34 musculotendon units spanning the hip, knee, and ankle joints. Full-body inverse kinematics, inverse dynamics, and musculotendon kinematics were solved in real-time from motion capture and force plate data to estimate the knee medial tibiofemoral contact force (MTFF). We analyzed five healthy subjects while they were walking on an instrumented treadmill with visual biofeedback of their MTFF. Each subject was asked to modify their gait in order to vary the magnitude of their MTFF. All subjects were able to increase their MTFF, whereas only three subjects could decrease it, and only after receiving verbal suggestions about possible gait modification strategies. Results indicate the important role of knee muscle activation patterns in modulating the MTFF. While this paper focused on the knee, the technology can be extended to examine the musculoskeletal tissue loads at different sites of the human body.
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