Methods and systems for extracting venous pulsation and respiratory information from photoplethysmographs [PDF]
, 2019 A system and method for separating a venous component and an arterial component from a red signal and an infrared signal of a PPG sensor is provided.
Nourani, Mehrdad, Yousefi, Rasoul
core +1 more source
Vasomotor assessment by camera-based photoplethysmography
Current Directions in Biomedical Engineering, 2016 Camera-based photoplethysmography (cbPPG) is a novel technique that allows the contactless acquisition of cardio-respiratory signals. Previous works on cbPPG most often focused on heart rate extraction.
Trumpp Alexander +3 more
doaj +1 more source
Heart rate from face videos under realistic conditions for advanced driver monitoring
Current Directions in Biomedical Engineering, 2017 The role of physiological signals has a large impact on driver monitoring systems, since it tells something about the human state. This work addresses the recursive probabilistic inference problem in time-varying linear dynamic systems to incorporate ...
Pilz Christian S. +3 more
doaj +1 more source
Monte Carlo Analysis of Optical Interactions in Reflectance and Transmittance Finger Photoplethysmography [PDF]
, 2019 Photoplethysmography (PPG) is a non-invasive photometric technique that measures the volume changes in arterial blood. Recent studies have reported limitations in developing and optimising PPG-based sensing technologies due to unavailability of the ...
Anatomy +13 more
core +1 more source
Sensors, 2023 Despite the notable recent developments in the field of remote photoplethysmography (rPPG), extracting a reliable pulse rate variability (PRV) signal still remains a challenge.
Valerie A. A. van Es +3 more
doaj +1 more source
Motion limitations of non-contact photoplethysmography due to the optical and topological properties of skin [PDF]
, 2016 Non-contact photoplethysmography (PPG) provides multiple benefits over in-contact methods, but is not as tolerant to motion due to the lack of mechanical coupling between the subject and sensor.
Alametsä J +10 more
core +3 more sources
Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks [PDF]
, 2018 https://doi.org/10.1007/978-3-319-77712-2_62The detection of red blood cells in blood samples can be crucial for the disease detection in its early stages.
Luque-Baena, Rafael Marcos +4 more
core +1 more source
Combining Chrominance Features and Fast ICA for Noncontact Imaging Photoplethysmography
IEEE Access, 2020 Video-based noncontact detection of heart rate has a wide range of applications in the field of medicine and health. However, this method is susceptible to noise interference, making it difficult to effectively extract blood volume pulse (BVP) signals ...
Ken Cai +4 more
doaj +1 more source
Review of deep learning methods for imaging photoplethysmography data processing
Научно-технический вестник информационных технологий, механики и оптикиThis paper presents a review of contemporary deep learning methods for processing remote photoplethysmography data. Architectures of convolutional neural networks, transformers, recurrent, and generative models are examined for video signal preprocessing
I. M. Rubin, M. A. Volynsky
doaj +1 more source
Correction: Using imaging photoplethysmography for heart rate estimation in non-human primates. [PDF]
PLoS ONE, 2019 [This corrects the article DOI: 10.1371/journal.pone.0202581.].
Anton M Unakafov +5 more
doaj +1 more source