Abstract
People with a healthy lifestyle modulate cycles of stimulation through posture and social factors. In general, muscle activation is generally controlled by exoskeleton patterns, mainly personal muscle control during voluntary movement. Therefore, a survey suggested that Persons with nervous system disorders and older people cannot modulate their muscle activity rhythm and have issues with movement control. Hence, this study concentrates on Linear Quadratic Estimation Hybridised Computer Algorithm (LQE-HC) to detect the muscles’ behaviour method using accelerometers to find joints’ angular speed. Remote monitoring can give valuable data on the regular exercise level and functional potential of individuals. Furthermore, a low drift in the observed speed leads to a longer integration error. Supplementary data from gyroscopes are normally fused with the Linear Quadratic Estimation (LQE). A computer algorithm structurally measures instructions to a wearable device to conduct an optimal muscle stimulation sequence inducted for goal muscle powers. This article introduces a basic principle, conceptual description, and method for the human muscular force regulation and its adaptation to a motor system with upper extremity exoskeleton-type wearable devices.
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This research was supported by Key R & D projects of Jilin Science and Technology Development Plan 2020.
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An, X., Wang, Y. Smart wearable medical devices for Isometric Contraction of muscles and joint tracking with gyro sensors for elderly people. J Ambient Intell Human Comput (2021). https://doi.org/10.1007/s12652-021-02993-5
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DOI: https://doi.org/10.1007/s12652-021-02993-5