DocumentCode :
591270
Title :
Myocardial infarction and Antiphospholipid Syndrome: A first study on finger PPG waveforms effects
Author :
Angius, G. ; Barcellona, D. ; Cauli, E. ; Meloni, L. ; Raffo, Luigi
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
517
Lastpage :
520
Abstract :
The aim of this study is to highlight the presence of cardiovascular disease (CVD) using a non-invasive low cost technique: the photoplethysmography (PPG). This work represents a preliminary study in the time domain of finger PPG signals of patients with acute myocardial infarction (AMI), chronic myocardial infarction (CMI), and Antiphospholipid Syndrome (SAA). PPG signals were taken using a commercial pulse oximeter. Twelve PPG waveforms were measured for each studied group (AMI, CMI and SAA) and for a group of healthy volunteers. Time domain PPG signal processing was done using a MATLAB implementation of an improved differential algorithm, in order to detect the characteristic parameter `relative crest time´ (T1/TPT), identified from the literature. The statistical distribution of PPG relative crest time shows that healthy subjects present a relative average crest time below 0.2 and a very tight distribution. On the contrary, patients with AMI, CMI and SAA have a higher mean value of T1/TPT and a wide asymmetrical shape of distribution. The obtained results suggest that a T1/TPT value above the 0.2 threshold is dangerous for healthy subjects. Moreover, the results extracted from PPG signal of younger patients with SAA seem particularly significant.
Keywords :
cardiovascular system; diseases; feature extraction; mathematics computing; medical signal processing; oximetry; photoplethysmography; waveform analysis; AMI; CMI; CVD; MATLAB; SAA; T1-TPT; acute myocardial infarction; antiphospholipid syndrome; cardiovascular disease; chronic myocardial infarction; differential algorithm; finger PPG waveforms effects; photoplethysmography; pulse oximeter; relative crest time; time domain PPG signal processing; Blood; Cardiac arrest; Feature extraction; Heart; Myocardium; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology (CinC), 2012
Conference_Location :
Krakow
ISSN :
2325-8861
Print_ISBN :
978-1-4673-2076-4
Type :
conf
Filename :
6420444
Link To Document :
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