A high performance biometric signal and image processing method to reveal blood perfusion towards 3D oxygen saturation mapping

Abstract

A high performance biometric signal and image processing method to reveal blood perfusion towards 3D oxygen saturation mapping ABSTRACTNon-contact imaging photoplethysmography (PPG) is a recent development in the field of physiological data acquisition, currently undergoing a large amount of research to characterize and define the range of its capabilities. Contact-based PPG techniques have been broadly used in clinical scenarios for a number of years to obtain direct information about the degree of oxygen saturation for patients. With the advent of imaging techniques, there is strong potential to enable access to additional information such as multi-dimensional blood perfusion and saturation mapping. The further development of effective opto-physiological monitoring techniques is dependent upon novel modelling techniques coupled with improved sensor design and effective signal processing methodologies. The biometric signal and imaging processing platform (bSIPP) provides a comprehensive set of features for extraction and analysis of recorded iPPG data, enabling direct comparison with other biomedical diagnostic tools such as ECG and EEG. Additionally, utilizing information about the nature of tissue structure has enabled the generation of an engineering model describing the behaviour of light during its travel through the biological tissue. This enables the estimation of the relative oxygen saturation and blood perfusion in different layers of the tissue to be calculated, which has the potential to be a useful diagnostic tool.Keywords: imaging photoplethysmography, pulse oximetry, oxygen saturation mapping, signal acquisition and processing. *S.Hu@lboro.ac.uk; phone +44 1509 227059 INTRODUCTIONImaging photoplethysmography (iPPG) is one of the emerging medical imaging technologies to visualize peripheral blood perfusion in a specific tissue. Different from other optical related technologies, i.e., laser Doppler [1, 2] and Speckle imaging [3], iPPG aims to detect the dynamic change of blood volume in a designated tissue area rather than blood velocity and flow. Besides, iPPG can provide other human vital bioinformatics such as heart rate variability (HRV) [4] and pulse transit time (PTT) [5]. iPPG has significant priority over to the conventional PPG, as removes the primary limitations of spot measurement and contact sensory. iPPG can also monitor these vital human signs on different parts of skin surface simultaneously and bring the possible new insights that might come from hemodynamic mapping even 3D oxygen saturation in the tissue segments.Non-contact camera based iPPG has been well established with the visualization of blood perfusion [6], which demonstrated the simultaneous capture of PPG waveforms from the extremities at three wavelengths (660 nm, 840 nm and 905 nm) in both transmission and reflection modes. Another work has reported a reflection mode capture of 'heart cycle-related' pulsatile variations using a CMOS camera [7], with its illumination at 660 nm, 810 nm, and 940 nm. An additional research s...

Effects of frame rate and image resolution on pulse rate measured using multiple camera imaging photoplethysmography

“…Since these fundamental developments, non-contact, imaging photoplethysmography has increasingly been proven to be useful for a variety of purposes including non-invasive vital sign monitoring 10 in a hospital neonatal intensive care unit as well as an MRI scanner, real time implementations 11 including pulse measurement by a mobile health service robot 12 , heart/pulse rate variability measurement 8,13,14 and application toward cognitive stress / mental workload assessment 15,16 , sensing additional physiological metrics including breathing pattern, flow rate, and pulse transit time 17 , vascular imaging and blood perfusion measurement 4,18-22 (including hybrid thermal measurements) for peripheral vasculature abnormalities 6 , wound healing, anesthesia monitoring 23 , and allergic reaction monitoring 24 , and blood oxygen saturation measurement [25][26][27][28][29] . These techniques and use cases have also been highlighted in several recent review articles focused on non-contact cardiovascular assessment techniques 14,[30][31][32][33] .…”

Noncontact Physiological Measurement Using a Camera: A Technical Review and Future Directions

“…Humphreys et al , used a CMOS camera with NIR light (760/880 nm) to measure SpO 2 on the finger. Imms et al used a CMOS camera with NIR light (650/870 nm) to measure oxygen saturation (SaO 2 ) at the hand and forearm. Shao et al used a CMOS camera with a trigger control to record PPG signals alternatively at 611/880 nm wavelengths at face area, and determined the SpO 2 from the obtained PPG signals.…”

Monitoramento da taxa de saturação de oxigênio no sangue e frequência cardíaca via método de magnificação Euleriana sem contato físico

“…Os estudos mapeados foram divididos em duas categorias, os que utilizam e os que não utilizam fonte de luz específica. Do total final de estudos primários mapeados apenas Kong et al (2013), Imms et al (2014), Tarassenko et al (2014), Bal (2015), Van Gastel et al (2016), Poh and Poh (2017), Fan and Li (2018), Moço et al (2018) e Wang et al (2018) utilizam luz ambiente. O uso da luz ambiente torna a solução mais versátil, facilita sua replicação e possibilita a utilização em diversos ambientes.…”