DocumentCode
979539
Title
Design of Perturbation Signals for the Estimation of Proprioceptive Reflexes
Author
Schouten, Alfred C. ; de Vlugt, E. ; van der Helm, Frans C. T.
Author_Institution
Delft Univ. of Technol., Delft
Volume
55
Issue
5
fYear
2008
fDate
5/1/2008 12:00:00 AM
Firstpage
1612
Lastpage
1619
Abstract
This study aimed to identify the functional contribution of reflexes to human motor control during posture maintenance. Continuous random force disturbances were applied at the hand while the subjects were instructed to minimize the deviation resulting from the force disturbances. The results were analyzed in the frequency domain with frequency response functions (FRFs). Two FRFs were evaluated: 1) the mechanical admittance and 2) the reflexive impedance, expressing the dynamic relation between position and muscle activation (assessed via electromyography, EMG). The reflexive impedance is a direct measure of the proprioceptive reflexes. To record all relevant dynamical characteristics of the arm, wide bandwidth signals were used as force disturbance. Distributing the power of the signal over fewer frequencies within the bandwidth improved the signal-to-noise-ratio SNR of the EMG recordings, facilitating reliable estimation of the reflexive impedance. The coherence indicated that the relation between force disturbance and EMG is linear under the given conditions and improved with the SNR. The method of designing disturbance signals and the estimation of the reflexive impedance are useful for studies aiming to quantify proprioceptive reflexes and to investigate its functionality.
Keywords
biocontrol; biomechanics; electromyography; frequency response; frequency-domain analysis; mechanoception; medical signal processing; neurophysiology; EMG recordings; continuous random force disturbances; electromyography; frequency domain analysis; frequency response functions; human motor control; mechanical admittance; muscle activation; perturbation signal designing method; posture maintenance; proprioceptive reflex quantification; reflexive impedance estimation; signal-to-noise-ratio; Admittance; Bandwidth; Electromyography; Frequency domain analysis; Frequency estimation; Frequency response; Humans; Impedance; Motor drives; Signal design; Arm admittance; Electromyography; Identification; Proprioceptive reflexes; Reflexive impedance; electromyography (EMG); identification; proprioceptive reflexes; reflexive impedance; Adult; Computer Simulation; Electromyography; Female; Humans; Male; Models, Biological; Movement; Proprioception; Reaction Time; Reflex; Task Performance and Analysis;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2007.912432
Filename
4384302
Link To Document