• DocumentCode
    3684972
  • Title

    Cough detection through mechanomyographic signal in synchronized respiratory electrical stimulation systems

  • Author

    Taisa D. Costa;Guilherme N. Nogueira-Neto;Percy Nohama

  • Author_Institution
    Graduate Program in Electrical and Computer Engineering, Federal University of Technology, Parana, Brazil
  • fYear
    2015
  • Firstpage
    4590
  • Lastpage
    4593
  • Abstract
    Synchronization of transcutaneous functional electrical stimulation (TFES) with the spontaneous inspiration and expiration phases is a new approach for respiratory rehabilitation. One of the requirements for proper operation is the identification of cough events to automatically change the stimulation parameters in order to increase muscle strength during the cough. The aim of this work is to assess the viability in detection of cough events with a mechanomyographic (MMG) sensor on the abdominal region, and to evaluate if it can be used simultaneously with the synchronized TFES system. An MMG sensor was placed in contact with skin lined with the last ribs, above the rectus abdominis muscle and the linea alba. Two tests were accomplished which included quiet breathing, speaking and coughing episodes. The developed system efficiently distinguishes quiet breathing and coughing signals, but speaking is still confused with coughing episodes. The MMG sensor suffered detectable amplitude changes mainly during the forced expiration phase of the cough, but it could also detect the compression phase at lower amplitude. Therefore, the MMG system can be used for cough detection in this application.
  • Keywords
    "Muscles","Strain","Electrical stimulation","Synchronization","Speech","Neuromuscular stimulation","Belts"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319416
  • Filename
    7319416