Assistance magnitude versus metabolic cost reductions for a tethered multiarticular soft exosuit
نویسندگان
چکیده
When defining requirements for any wearable robot for walking assistance, it is important to maximize the user’s metabolic benefit resulting from the exosuit assistance while limiting the metabolic penalty of carrying the system’s mass. Thus, the aim of this study was to isolate and characterize the relationship between assistance magnitude and the metabolic cost of walking while also examining changes to the wearer’s underlying gait mechanics. The study was performed with a tethered multiarticular soft exosuit during normal walking, where assistance was directly applied at the ankle joint and indirectly at the hip due to a textile architecture. The exosuit controller was designed such that the delivered torque profile at the ankle joint approximated that of the biological torque during normal walking. Seven participants walked on a treadmill at 1.5 meters per second under one unpowered and four powered conditions, where the peak moment applied at the ankle joint was varied from about 10 to 38% of biological ankle moment (equivalent to an applied force of 18.7 to 75.0% of body weight). Results showed that, with increasing exosuit assistance, net metabolic rate continually decreased within the tested range. When maximum assistance was applied, the metabolic rate of walking was reduced by 22.83 ± 3.17% relative to the powered-off condition (mean ± SEM).
منابع مشابه
Title : Ankle Optimization with a Soft Exosuit Reduces Metabolic Cost of Loaded Walking
[1] Panizzolo et al, A biologically-inspired multi-joint soft exosuit that can reduce the energy cost of loaded walking, JNER, 2016 [2] Quinlivan et al, Assistance magnitude versus metabolic cost reductions for a tethered multiarticular soft exosuit, Sci Robot, 2017 [3] Lee et al, Controlling Negative and Positive Power at the Ankle with a Soft Exosuit, ICRA, 2016 [4] Malcolm et al, Varying neg...
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ورودعنوان ژورنال:
- Science Robotics
دوره 2 شماره
صفحات -
تاریخ انتشار 2017