Observation of blood motion in the internal jugular vein by contact and contactless photoplethysmography during physiological testing: case studies

Abstract

Central venous pressure is an estimate of right atrial pressure and is often used to assess hemodynamic status. However, since it is measured invasively, non-invasive alternatives would be of great utility. The aim of this preliminary study was a) to investigate whether photoplethysmography (PPG) can be used to characterize venous system fluid motion and b) to find the model for venous blood volume modulations. For this purpose, we monitored the internal jugular veins using contact (cPPG) and video PPG during clinically validated physiological tests: abdominojugular test (AJT) and breath holding (BH). Video PPG and cPPG signals were captured simultaneously on the left and right sides of the neck, respectively. ECG was also captured using the same clinical monitor as cPPG. Two volunteers underwent AJT and BH with head up/down, each with: baseline (15s), experiment (15s), and recovery (15s). Video PPG was split into remote PPG (rPPG) and micromotion detection. All signal modalities were significantly affected by physiological testing. Moreover, cPPG and micromotion waveforms exhibited primary features of jugular vein waveforms and, therefore, have great potential for venous blood flow monitoring. Specifically, remote patient monitoring applications may be enabled by this methodology, facilitating physical collection without a specially trained care provider.

Introduction to the feature issue: Advances in Optical Biosensors for Biomedical Applications

“…The work emphasizes the potential of the metastructure for diverse applications in biological and chemical sensing. Saiko et al [ 21 ] examined the detection of blood flow in the internal jugular vein using photoplethysmography during physiological testing. The work showcases the capacity of photoplethysmography to analyze the movement of fluid in the venous system, providing valuable information for monitoring venous blood flow in remote patient monitoring applications.…”