Wavelet Transform Analysis of the Power Spectrum of Centre of Pressure Signals to Detect the Critical Point Interval of Postural Control

Neeraj Kumar Singh (1) , Hichem Snoussi (1) , David Hewson (1) , Jacques Duchene (1)

1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes

The aim of this study was to develop a method to detecting the critical point interval (CPI) when sensory feedback is used as part of a closed-loop postural control strategy. Postural balance was evaluated using centre of pressure (COP) displacements from a force plate for 17 control and 10 elderly subjects under eyes open, eyes closed, and vibration conditions. A modified local-maximum-modulus wavelet transform analysis using the power spectrum of COP signals was used to calculate CPI. Lower CPI values indicate increased closed-loop postural control with a quicker response to sensory input. Such a strategy requires greater energy expenditure due to the repeated muscular interventions to remain stable. The CPI for elderly occurred significantly quicker than for controls, indicating tighter control of posture. Similar results were observed for eyes closed and vibration conditions. The CPI parameter can be used to detect differences in postural control due to ageing.

Domaines: Ingénierie biomédicale

Neeraj Kumar Singh, Hichem Snoussi, David Hewson, Jacques Duchene. Wavelet Transform Analysis of the Power Spectrum of Centre of Pressure Signals to Detect the Critical Point Interval of Postural Control. Biomedical Engineering Systems and Technologies, pp.235-244, 2010, ⟨10.1007/978-3-642-11721-3_18⟩. ⟨hal-02366141⟩