Autoregressive spectral analysis of stabilometric signals

Autoregressive power spectral estimation of stabilometric signals is investigated to determine a suitable model order and sampling rate. The spectra of 30 healthy subjects were studied with a protocol of eyes open/closed and feet together/apart.

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Bibliographic Details
Main Authors: Oliveira, L.F., Simpson, D.M., Nadal, J.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical measurements
Eyes
Frequency
Low pass filters
Monitoring
Protocols
Sampling methods
Signal resolution
Spectral analysis
Testing
Online Access:Request full text
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Description
Summary:Autoregressive power spectral estimation of stabilometric signals is investigated to determine a suitable model order and sampling rate. The spectra of 30 healthy subjects were studied with a protocol of eyes open/closed and feet together/apart.
DOI:10.1109/IEMBS.1994.415442