Abstract

Heart disease and stroke are considered among the world’s leading causes of death and disability. The non-invasive technique for physiological parameter monitoring is required to overcome the limitations of the existing systems. As per the study and observations, photoplenthesmography (PPG) imaging technology can be used for capturing signals which contains pulsatile information. These signals can gives us many vital parameters such as heart rate, respiration rate, oxygen saturation level, heart rate variability, arterial fibrillation etc. These PPG signals contain noise due to motion artifacts. Motion artifact reduction results in better accuracy of final outcomes. In this paper, different PPG techniques and motion artifact reduction methods which have been used for estimation of some of the cardiovascular parameters are studied. Classification of the PPG data collection methods on the basis of some factors such as source of light, photo detector, skin part used, type of PPG used and extracted parameters etc. is carried out.

Keyword

PPG (Photoplenthesmography), HR (Heart Rate), RR (Respiration Rate), SpO2 (oxygen saturation level), MA (Motion Artifact), physiological parameter monitor, pulse, ICA (Independent Component Analysis), ASLMS (Adaptive Step size Least Mean Square), CFSA (cycle-by-cycle Fourier series analysis)etc.

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