title: [Experimental studies on muscle fatigue of human limb motion with FNS].
abstract: The basic characteristic of the functional neuromuscular stimulation signals suitable to body is preliminarily determined after the fatigue performance of the biceps, and the physiological reaction to stimulation is investigated using many continuous stimulation signal patterns. The flexion motion of the elbow joint (right hand) of a healthy man was taken as our research objective. The surface electrodes were connected to the biceps and a micro angle sensor was mounted on the elbow joint (right hand). The curves of angular displacement for the elbow joint motion were obtained by using functional neuromuscular stimulation (FNS) limbs motion measurement instruments. The results demonstrate that the biceps are characterized by the non-linear and time-variant no matter what the stimulation patterns are, that continuous slow stimulation signals can reduce the muscle fatigue of the biceps, and that the stimulation frequencies ranging from 30 Hz to 50 Hz are applicable to the neuromuscular system.
authors.affiliation: Department of Precision Instruments, Tsinghua University, Beijing 100084.
authors.forename: H
authors.initials: H
authors.lastname: Wu
authors.forename: Z
authors.initials: Z
authors.lastname: Zhou
authors.forename: S
authors.initials: S
authors.lastname: Xiong
authors.forename: D
authors.initials: D
authors.lastname: Yan
authors.forename: G
authors.initials: G
authors.lastname: Zhang
mesh_terms: D000328:Adult; D000465:Algorithms; D004551:Elbow Joint / Q000502:physiology*; D004558:Electric Stimulation / Q000295:instrumentation*; D006801:Humans; D008297:Male; D018763:Muscle Fatigue / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D009469:Neuromuscular Junction / Q000502:physiology; D012815:Signal Processing, Computer-Assisted