NDLI: Assessment of the cardiovascular regulation during robotic assisted locomotion in normal subjects: Autoregressive spectral analysis vs empirical mode decomposition

Content Provider	IEEE Xplore Digital Library
Author	Magagnin, V. Caiani, E.G. Fusini, L. Turiel, M. Licari, V. Bo, I. Cerutti, S. Porta, A.
Copyright Year	2008
Description	Author affiliation: Department of Technologies for Health, Galeazzi Orthopaedic Institute IRCCS, University of Milan, Italy (Turiel, M.; Porta, A.) \|\| Biomedical Engineering Department, Polytechnic of Milan, Italy (Magagnin, V.; Caiani, E.G.; Fusini, L.; Cerutti, S.) \|\| Rehabilitation Unit, Galeazzi Ortophedic Hospital IRCCS, Milan, Italy (Licari, V.; Bo, I.)
Abstract	Robotic assisted locomotion systems are recently gaining appreciation as methods to rehabilitate individuals with lost sensory motor function. In the present study we compare autoregressive power spectral analysis and empirical mode decomposition (EMD) applied to the analysis of short-term heart period variability regarding their ability to typify autonomic response during a robotic assisted locomotion session consisting in the following phases: 1) sitting position; 2) standing position; 3) suspension during subject instrumentation; 4) robotic assisted treadmill locomotion with partial body weight support; 5) standing recovery after exercise. Results showed a significant tachycardia during the suspension phase, but no significant changes of spectral indexes. On the contrary, when spectral indexes were derived according to EMD, changes were evidenced during the suspension and walking phases. The EMD method is more powerful than autoregressive spectral analysis in detecting variations of parasympathetic and sympathetic modulations elicited by a robotic-assisted locomotion protocol.
Starting Page	3844
Ending Page	3847
File Size	368371
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4650048
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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