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.

Assessment of the cardiovascular regulation during robotic assisted locomotion in normal subjects : autoregressive spectral analysis vs empirical mode decomposition / V. Magagnin, E.G. Caiani, L. Fusini, M. Turiel, V. Licari, I. Bo, S. Cerutti, A. Porta - In: Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE[s.l] : IEEE Service Center, 2008. - ISBN 978-1-4244-1814-5. - pp. 3844-3847 (( convegno Engineering in Medicine and Biology Society. EMBS. Annual International Conference of the IEEE tenutosi a Vancouver, BC nel 2008.

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

M. Turiel;A. Porta
Ultimo
2008

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.
Settore MED/09 - Medicina Interna
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
Settore MED/11 - Malattie dell'Apparato Cardiovascolare
2008
Engineering in Medicine and Biology Society
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/217430
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