Abstract
The authors have applied a systems analysis approach to describe the musculoskeletal system as consisting of a stack of superimposed kinematic hier-archical segments in which each lower segment tends to transfer its motion to the other superimposed segments. This segmental chain enables the derivation of both conscious perception and sensory control of action in space. This applied systems analysis approach involves the measurements of the complex motor behavior in order to elucidate the fusion of multiple sensor data for the reliable and efficient acquisition of the kinetic, kinematics and electromyographic data of the human spatial behavior. The acquired kinematic and related kinetic signals represent attributive features of the internal recon-struction of the physical links between the superimposed body segments. In-deed, this reconstruction of the physical links was established as a result of the fusion of the multiple sensor data. Furthermore, this acquired kinematics, kinetics and electromyographic data provided detailed means to record, annotate, process, transmit, and display pertinent information derived from the musculoskeletal system to quantify and differentiate between subjects with mobility-related disabilities and able-bodied subjects, and enabled an inference into the active neural processes underlying balance reactions. To gain insight into the basis for this long-term dependence, the authors have applied the fusion of multiple sensor data to investigate the effects of Cerebral Palsy, Multiple Sclerosis and Diabetic Neuropathy conditions, on biomechanical/neurophysiological changes that may alter the ability of the human loco-motor system to generate ambulation, balance and posture.
Highlights
Human dynamic behavior in space is very complex because it involves many physical, perceptual and motor aspects [1]
To gain insight into the basis for this long-term dependence, the authors have applied the fusion of multiple sensor data to investigate the effects of Cerebral Palsy, Multiple Sclerosis and Diabetic Neuropathy conditions, on biomechanical/neurophysiological changes that may alter the ability of the human locomotor system to generate ambula
The mechanisms responsible for these stride-interval correlations are largely unknown [39]. They may be a consequence of peripheral input or lower motorneuron control, or they may be related to higher nervous system centers that control walking rhythm
Summary
Human dynamic behavior in space is very complex because it involves many physical, perceptual and motor aspects [1]. The active maintenance of the human body configuration and orientation in space is dependent on visual and proprioceptive cues. This is a vital motor function since the maintenance of posture is a non-volitional activity based on pre-determined inborn neural mechanisms. We know that other systems intervene to compensate for sensory loss of another system. An example of this case is a diabetic patient with a peripheral neuropathy and diminished sensory proprioceptive feedback; this patient relies more on the visual clues to help with gait and balance. Learning the interplay between these cues may provide the key to understanding the complex function
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