A New Wavelet Based Approach for the Noninvasive Dynamic Detection of M1 & M2 EMG Stretch Reflex Response Components – Preliminary Results

  • Mihai TarataEmail author
  • M. Serbanescu
  • D. Georgescu
  • D. Alexandru
  • W. Wolf
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 57)


Addressing the dynamic detection of the M1 & M2 electromyographic (EMG) stretch reflex (SR) activity, the paper presents a new approach based on the wavelet decomposition of the input signal and the use of the Dynamic Cumulative Sum (DCS) algorithm and investigates its ability to detect the changes associated to the M1 & M2 activity on a trial-by-trial basis. This was experimented on 16 healthy subjects (8 males and 8 females). Results were derived twofold: on the SR EMG signal and on the decision curves, computed through our method. They show that the method makes possible the detection of the M1 & M2 responses in single, individual trials. It provides good time-resolution of the detection of the changes. The method we are proposing can assist the real time detection of the stretch reflex responses in specific experimental closed loop paradigms.


Stretch Reflex Electromyography M1 M2 Wavelet 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Mihai Tarata
    • 1
    Email author
  • M. Serbanescu
    • 1
  • D. Georgescu
    • 1
  • D. Alexandru
    • 1
  • W. Wolf
    • 2
  1. 1.Medical InformaticsUniversity of Medicine and Pharmacy of CraiovaCraiovaRomania
  2. 2.Universität der Bundeswehr München, EIT-3-2NeubibergGermany

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