Photoplethysmography and Its Clinical Application

Abstract

Photoplethysmography (PPG), introduced in 1937, is routinely used for monitoring heart rate, blood perfusion and oxygen saturation of the blood in the intensive care units for the past several decades. It is also being used for the assessment of peripheral blood flow and venous filling time in noninvasive vascular laboratories. It works on the principle of light/infrared absorption in the body segment and detection and processing of transmitted light/infrared radiation.In the past few decades, there has been more emphasis on the pulse morphology. Analysis of higher harmonic components and derivation of cardiovascular indices have emerged as powerful tools for the assessment of arterial aging, endothelial function, and vascular compliance. The ease of operating and extreme low cost of PPG system has made it ideal for objective assessment of autonomic nervous system (ANS). This technique is presently being explored for the personal monitoring of blood glucose noninvasively.

Res-BiANet: A Hybrid Deep Learning Model for Arrhythmia Detection Based on PPG Signal

“…In recent years, collecting photoplethysmography (PPG) signals has gained prominence due to its advantages of low cost, portability, and wearability. Crucially, the PPG signal can convey heartbeat information [10], making it invaluable in clinical and biomedical signal processing and detection, with a wide range of applications [11,12]. Over the past decade, there has been a continuous increase in research on arrhythmia detection using PPG signals [13].…”