Title :
Real time heart rate detection using non-contact photoplethysmography signals
Author :
Kavsaoglu, A.R. ; Polat, K. ; Bozkurt, M.R.
Author_Institution :
Elektron. Teknolojisi Bolumu, SINOP Univ., Sinop, Turkey
Abstract :
Heart is contracted rhythmically so as to drive nutrients and oxygen necessary for life through our organs with blood arteries. The frequency for the rhythmic contraction of heart just as a pump is called heart rate (HR). Heart rate variation (HRV) is a measure of a fluctuation of time interval between heart beats. HRV is calculated considering electrodiagram (ECG) signals, arterial blood pressure signals or photoplethysmography (PPG) signals-derived time series of in-between heart beats. HRV is used as a significant indicator for the detection of healthiness and sickness state. Such pathological cases as high blood pressure, heart failure, and septic shock can be diagnosed using HRV. Therefore, accurate and rapid detection of HR is essential to correct diagnosis. In this study, real-time heart rate detection was derived from contactless PPG signals. PPG calling for contact with skin becomes useless in case of tissue scars or burns. In such cases, the use of contactless PPG is superior. Contactless PPG consists of a light source and a camera that senses reflection or transmittance of the light source. Camera images obtained were processed through an interface prepared in the MATLABTM GUI setting, and real-time heart rate detection was carried out.
Keywords :
blood pressure measurement; blood vessels; cameras; electrocardiography; light sources; patient diagnosis; photoplethysmography; time series; ECG signals; HRV; MATLAB GUI setting; arterial blood pressure signals; blood arteries; camera; correct diagnosis; electrodiagram signals; healthiness state detection; heart failure; heart rate variation; high blood pressure; light source; noncontact photoplethysmography signals; nutrients; organs; oxygen; pathological case; real time heart rate detection; rhythmic contraction; septic shock; sickness state detection; skin; time series; Conferences; Electrocardiography; Heart rate variability; MATLAB; Photoplethysmography; Signal processing; contactless PPG; heart rate; peak detection; photoplethysmography (PPG);
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830199