• DocumentCode
    589693
  • Title

    A real time cough monitor for classification of various pulmonary diseases

  • Author

    Ranjani, Shree ; Santhiya, V. ; Jayapreetha, A.

  • Author_Institution
    Dept. of Biomed. Eng., Rajalakshmi Eng. Coll., Chennai, India
  • fYear
    2012
  • fDate
    Nov. 30 2012-Dec. 1 2012
  • Firstpage
    102
  • Lastpage
    105
  • Abstract
    Cough is the most troublesome symptoms and event of illness. There are varied causes of cough such as respiratory tract infections to unrelieved conditions such as asthma, bronchitis etc. The frequency of cough is important for both accurate diagnosis and for monitoring the success of the treatment. The goal of this work is to put into use of a non-invasive and unobtrusive device that will accurately record the frequency of cough. Electromyography (EMG) is used to obtain the cough signals from the patients. The signals are recorded in real time using LabVIEW software. We have taken two commonly existing and closely related pulmonary diseases namely Asthma and Bronchitis for our work. These diseases are differentiated based on the frequency of cough and the cough pattern. The availability of a reliable and accurate method to record the extent and severity of cough thereby improves the respiratory care and management of these patients. The advantage of cough monitor is early screening of pulmonary diseases and thus proper diagnosis and treatment for patients are possible.
  • Keywords
    diseases; electromyography; medical signal processing; patient diagnosis; patient monitoring; patient treatment; signal classification; virtual instrumentation; EMG; LabVIEW software; asthma; bronchitis; cough frequency; cough pattern; cough signals; electromyography; patient diagnosis; patient treatment; pulmonary disease classification; pulmonary disease early screening; real time cough monitor; respiratory tract infections; Biomedical monitoring; Diseases; Electromyography; Frequency measurement; IIR filters; Monitoring; Muscles; Asthma; Bronchitis; Cough EMG; Early detection; Frequency; Pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Applications of Information Technology (EAIT), 2012 Third International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4673-1828-0
  • Type

    conf

  • DOI
    10.1109/EAIT.2012.6407872
  • Filename
    6407872