Fuzzy entropy based motion artifact detection and pulse rate estimation for fingertip photoplethysmography

Author

Paradkar, Neeraj ; Chowdhury, Shubhajit Roy

Author_Institution

Center of VLSI & Embedded Syst. Technol., Int. Inst. of Inf. Technol., Hyderabad, India

fYear

2014

fDate

26-30 Aug. 2014

Firstpage

58

Lastpage

61

Abstract

The paper presents a fingertip photoplethysmography (PPG) based technique to estimate the pulse rate of the subject. The PPG signal obtained from a pulse oximeter is used for the analysis. The input samples are corrupted with motion artifacts due to minor motion of the subjects. Entropy measure of the input samples is used to detect the motion artifacts and estimate the pulse rate. A three step methodology is adapted to identify and classify signal peaks as true systolic peaks or artifact. CapnoBase database and CSL Benchmark database are used to analyze the technique and pulse rate estimation was performed with positive predictive value and sensitivity figures of 99.84% and 99.32% respectively for CapnoBase and 98.83% and 98.84% for CSL database respectively.

Keywords

medical signal detection; oximetry; photoplethysmography; pulse measurement; CSL Benchmark database; CapnoBase database; PPG based technique; PPG signal; fingertip photoplethysmography; fuzzy entropy; motion artifact detection; positive predictive value; pulse oximeter; pulse rate estimation; true systolic peaks; Blood; Databases; Electrocardiography; Entropy; Estimation; IEEE Engineering in Medicine and Biology Society; Photoplethysmography;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2014.6943528

Filename

6943528