Empirical mode decomposition analysis of near-infrared spectroscopy muscular signals to assess the effect of physical activity in type 2 diabetic patients

This publication has 33 references indexed in Scilit:

• Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal
  Computer Methods and Programs in Biomedicine, 2013
• Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes: a systematic review
  Heart, 2011
• Systematic review of the association between lung function and Type 2 diabetes mellitus
  Diabetic Medicine, 2010
• Time-Frequency Characterization of Cerebral Hemodynamics of Migraine Sufferers as Assessed by NIRS Signals
  EURASIP Journal on Advances in Signal Processing, 2010
• Analysis of epileptic EEG signals using higher order spectra
  Journal of Medical Engineering & Technology, 2009
• The IFCC Reference Measurement System for HbA1c: A 6-Year Progress Report
  Clinical Chemistry, 2008
• Cardiac state diagnosis using higher order spectra of heart rate variability
  Journal of Medical Engineering & Technology, 2008
• Spontaneous Low Frequency Oscillations of Cerebral Hemodynamics and Metabolism in Human Adults
  NeuroImage, 2000
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
  Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998
• Optical pathlength measurements on adult head, calf and forearm and the head of the newborn infant using phase resolved optical spectroscopy
  Physics in Medicine & Biology, 1995