Abstract—The paper presents a fingertip photoplethysmography (PPG) based technique to detect and diagnose the occurrence of tachycardia and estimate the pulse rate of the subject. The PPG is the study of blood flow and is non invasive. A portable system has been developed to obtain the PPG signal and it is analyzed to carry out the diagnosis. The developed system is inexpensive and easy to use and the data is recorded using the index finger of the subject. The fuzzy entropy of the samples has been used to diagnose possible tachycardia. The pulse rate has been calculated using entropy measure of fuzziness of the detected PPG samples. The proposed system along with CapnoBase database is used analyze the technique and pulse rate estimation was done with an accuracy of 99.39%. The diagnosis for tachycardia has been done with 100% accuracy with respect to the population of 53 people being studied.

Index Terms—tachycardia, photoplethysmography, fuzzy entropy

Cite: Neeraj Sudhir Paradkar and Shubhajit Roy Chowdhury, "Fuzzy Entropy based Detection of Tachycardia and Estimation of Pulse Rate through Fingertip Photoplethysmography," Journal of Medical and Bioengineering, Vol. 4, No. 1, pp. 19-23, February 2015. Doi: 10.12720/jomb.4.1.19-23