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

Research output: Contribution to journalArticle

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.

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Robotics
Locomotion
Spectrum analysis
Decomposition
Suspensions
Posture
Exercise equipment
Aptitude
Tachycardia
Walking
Body Weight
Modulation
Recovery

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

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title = "Assessment of the cardiovascular regulation during robotic assisted locomotion in normal subjects: autoregressive spectral analysis vs empirical mode decomposition.",
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.",
author = "V. Magagnin and Caiani, {E. G.} and L. Fusini and M. Turiel and V. Licari and I. Bo and S. Cerutti and A. Porta",
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T1 - Assessment of the cardiovascular regulation during robotic assisted locomotion in normal subjects

T2 - autoregressive spectral analysis vs empirical mode decomposition.

AU - Magagnin, V.

AU - Caiani, E. G.

AU - Fusini, L.

AU - Turiel, M.

AU - Licari, V.

AU - Bo, I.

AU - Cerutti, S.

AU - Porta, A.

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