Results 51 to 60 of about 6,571 (182)
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
Full-Body Cardiovascular Sensing with Remote Photoplethysmography
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored the feasibility of rPPG from non-face body regions such as the arms, legs, and hands. We collected a new dataset titled
Niu, Lu +5 more
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Design and Development of a Modular, Multichannel Photoplethysmography System [PDF]
, 2018 In this paper, we present the design, development, and validation of a `modular photoplethysmography (PPG) system called ZenPPG. This portable, dual-channel system has the capability to produce ``raw'' PPG signals at two different wavelengths using ...
Budidha, K., Kyriacou, P. A., Rybynok, V
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Perfusion assessment via local remote photoplethysmography (rPPG)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to detect whether a tissue is adequately supplied with blood. The perfusion analysis is done in three different scales, offering a flexible approach for different applications ...
Kossack, Benjamin +5 more
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A machine vision approach to human activity recognition using photoplethysmograph sensor data [PDF]
, 2018 Human activity recognition (HAR) is an active area of research concerned with the classification of human motion. Cameras are the gold standard used in this area, but they are proven to have scalability and privacy issues.
Brophy, Eoin +3 more
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Promoting Generalization in Cross-Dataset Remote Photoplethysmography
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 8 pages, accepted for publication at CVPM ...
Vance, Nathan +3 more
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Ear-Lead Multiple Smart Bio Sensor System in M-health [PDF]
, 2015 In this paper, we present a multi-parameter wearable sensor system within a smartphone to enable a real-time unobtrusive monitoring of core body temperature, electrocardiogram (ear-lead ECG), and blood oxygen saturation (SpO2) on ambulatory patients ...
Balachandran, W, Celik, N, Manivannan, N
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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
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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
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Medical data processing and analysis for remote health and activities monitoring [PDF]
, 2019 Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human\u2019s health and activities. Health monitoring systems
Hosseinpour F. +14 more
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