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. PortaUltimo
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.File | Dimensione | Formato | |
---|---|---|---|
04650048.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
361.02 kB
Formato
Adobe PDF
|
361.02 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.