• DocumentCode
    3540409
  • Title

    Approximate Entropy based ayurvedic pulse diagnosis for diabetics - a case study

  • Author

    Arunkumar, N. ; Sirajudeen, K. M Mohamed

  • Author_Institution
    Dept. of Electron. & Instrum. Eng., Sastra Univ., Thanjavur, India
  • fYear
    2011
  • fDate
    8-9 Dec. 2011
  • Firstpage
    133
  • Lastpage
    135
  • Abstract
    In general, ayurvedic doctors used to examine the body by analyzing the wrist pulse of the patient. It is said that these pulse characteristics changes corresponding to the various changes in the body. For example, a tumour and a cyst will have different patterns in their pulse characteristics. Thus the wrist pulse signal is being used to analyze a person´s health status. This reflects the pathologic changes of the person´s body condition. Three different pulses can be located in single artery on the wrist, which will provide useful information regarding a person´s health. In this project an attempt is being made to standardize the signals for normal conditions and then try to go for identifying the variation in pulse characteristics for simple abnormal conditions i.e., diabetic cases. The methodology planned is described in brief as follows: Suitable pulse sensor will be used along with necessary signal processing circuitry in order to acquire the pulse signals. Reference pulse signals will be acquired from a number of persons with normal health status. Reference signal will be subjected to a statistical analysis. Approximate Entropy, being a statistical measure is planned to be used as a quantity for the purpose of characterizing standard signals and abnormal signals. The expected deviation of the measured quantity from the reference standard quantity will be used for diagnosis.
  • Keywords
    blood vessels; cardiovascular system; diseases; entropy; haemodynamics; medical signal processing; patient diagnosis; signal classification; statistical analysis; approximate entropy based ayurvedic pulse diagnosis; ayurvedic doctors; cyst; diabetic case; pathologic change; patient wrist pulse analysis; person health status; pulse characteristics variation; pulse sensor; pulse signal acquisition; signal characterization; signal processing circuitry; statistical analysis; statistical measure; tumour; wrist artery; wrist pulse signal; Approximate Entropy(ApEn); Pitha; Vata; kapha;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Trendz in Information Sciences and Computing (TISC), 2011 3rd International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4673-0134-3
  • Type

    conf

  • DOI
    10.1109/TISC.2011.6169099
  • Filename
    6169099