DocumentCode :
1099439
Title :
Detecting postural responses to sinusoidal sensory inputs: a statistical approach
Author :
Sparto, Patrick J. ; Jasko, Jeffrey G. ; Loughlin, Patrick J.
Author_Institution :
Depts. of Phys. Therapy, Univ. of Pittsburgh, PA, USA
Volume :
12
Issue :
3
fYear :
2004
Firstpage :
360
Lastpage :
366
Abstract :
A common way for understanding sensory integration in postural control is to provide sinusoidal perturbations to the sensory systems involved in balance. However, not all subjects exhibit a response to the perturbation. Determining whether or not a response has occurred is usually done qualitatively, e.g., by visual inspection of the power spectrum. In this paper, we present the application of a statistical test for quantifying whether or not a postural sway response is present. The test uses an F-statistic for determining if there is significant power in postural sway data at the stimulus frequency. In order to describe the application of this method, 20 subjects viewed sinusoidal anterior-posterior (A-P) optic flow at 0.1 and 0.25 Hz, while their A-P head translation was measured. The test showed that significant postural responses were detected at the stimulus frequency in 12/20 subjects at 0.1 Hz and 13/20 subjects at 0.25 Hz.
Keywords :
mechanoception; medical signal processing; perturbation techniques; statistical testing; F-statistic; anterior-posterior head translation; balance; postural control; postural sway response; sensory systems; sinusoidal anterior-posterior optic flow; sinusoidal perturbations; sinusoidal sensory inputs; somatosensory; statistical approach; Biomedical engineering; Biomedical optical imaging; Biomedical signal processing; Control systems; Frequency; Image motion analysis; Optical noise; Optical sensors; Optical signal processing; Testing; Adult; Algorithms; Diagnosis, Computer-Assisted; Female; Humans; Male; Models, Biological; Models, Statistical; Movement; Oscillometry; Periodicity; Photic Stimulation; Physical Examination; Posture;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2004.834203
Filename :
1333052
Link To Document :
بازگشت