Results 31 to 40 of about 830,623 (154)
Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring
Biosensors, 2021 Photoplethysmography (PPG) is a low-cost, noninvasive optical technique that uses change in light transmission with changes in blood volume within tissue to provide information for cardiovascular health and fitness.
Jesse Fine +7 more
doaj +1 more source
End-to-End Deep Learning for Stress Recognition Using Remote Photoplethysmography
, 2023 With the development of remote Photoplethysmography, contactless measurement of physiological parameters is possible. Several works have investigated stress recognition based on heart rate variability features extracted from cameras.
Gerdes, Marius +5 more
core +1 more source
Indice Connessioni Remote n. 4 [PDF]
, 2022 Indice Connessioni Remote n.
Redazione Connessioni Remote +1 more
core +1 more source
Deep Learning Methods for Remote Heart Rate Measurement: A Review and Future Research Agenda
Sensors, 2021 Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of the human body. While traditional HR monitors usually require contact with skin, remote photoplethysmography (rPPG) enables contactless HR monitoring by ...
Chun-Hong Cheng +4 more
doaj +1 more source
Remote photoplethysmography using nonlinear mode decomposition [PDF]
, 2018 Remote Photoplethysmography (rPPG) is a contactless noninvasive method for measuring physiological signals such as the heart rate (HR) using the light reflected from the facial tissue.
core +2 more sources
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
Deep Learning based Affective Sensing with Remote Photoplethysmography
, 2022 S.360-363Recent studies show that heart rate variability (HRV) is an important physiological characteristic that reflects physiological and affective states of a person.
Seuß, D., Garbas, J.-U., Luguev, T.
core +1 more source
An image-processing toolkit for remote photoplethysmography [PDF]
Objective. Image-processing-based remote photoplethysmography algorithms are usually composed of steps where different methods are used, and often, researchers perform these steps using methods that are not necessarily the best for their application ...
Martínez Sánchez, José María +2 more
core +1 more source
Effectiveness of Remote PPG Construction Methods: A Preliminary Analysis
Bioengineering, 2022 The contactless recording of a photoplethysmography (PPG) signal with a Red-Green-Blue (RGB) camera is known as remote photoplethysmography (rPPG).
Fridolin Haugg +2 more
doaj +1 more source
Remote photoplethysmography : advancing robustness, privacy and security [PDF]
Remote photoplethysmography (rPPG) offers a non-contact method for extracting physiological signals from facial videos, presenting a promising alternative to traditional contact-based techniques.
Savic, Marko
core +1 more source