Measurement of bio-physical signals for posture movement on the transformation system

• Published in: Biotechnology, biotechnological equipment Vol. 28; no. sup1; pp. S21 - S27
• Main Authors: Kim, Jeong-lae, Kim, Kyu-dong
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 14.11.2014; Taylor & Francis Ltd
• Subjects: Algorithms; Biotechnological Equipment; biotechnology; Central nervous system; CNS; Eye (anatomy); Posture; posture movement; Signal processing; somatosensory apparatus; Stability analysis; Transformations; Variation; vestibular; Vestibular system; Vision; posture movement; vision; CNS; vestibular; somatosensory apparatus
• ISSN: 1310-2818; 1314-3530; 1314-3530
• DOI: 10.1080/13102818.2014.949042

A signal transformation system of posture movement for the stable state was designed in order to measure the bio-physical signal. To estimate the subject in a stable state on the basis of the bio-physical signal in the posture movement, the conditions of vision, vestibular, somatosensory apparatus and the central nervous system (CNS) were detected. Based on the vision condition, there was a greater average variation (Vi-α AVG-MAX and Vi-α AVG-MIN ) in position with eyes closed and eyes opened (PC and PO), which was 27.11 ± 6.36 units. The vestibular condition showed a slightly larger average variation (Ve-α AVG-MAX and Ve-α AVG-MIN ) in the body position with PC and PO, which was 6.60 ± 1.65 units. The somatosensory condition demonstrated a lower average variation (So-α AVG-MAX and So-α AVG-MIN ) in position with PC and PO that amounted to 3.653 ± 2.424 units. The CNS condition was confirmed to indicate very little average variation (C-α AVG-MAX and C-α AVG-MIN ) in body position with PC and PO that was at 0.401 ± 0.56 units. As the model depends on the bio-physical transformation system of posture movement, the average values of these perturbations were computed (0.01-2 Hz, range of Fourier frequency). The system consists of a data algorithm, an acquisition system, a data signal processing unit and a network system for the evaluated stability.