English
Related papers

Related papers: PulseGAN: Learning to generate realistic pulse wav…

200 papers

Domain shift differences between training data for deep learning models and the deployment context can result in severe performance issues for models which fail to generalize. We study the domain shift problem under the context of remote…

Computer Vision and Pattern Recognition · Computer Science 2024-04-15 Nathan Vance , Patrick Flynn

As the GAN-based face image and video generation techniques, widely known as DeepFakes, have become more and more matured and realistic, there comes a pressing and urgent demand for effective DeepFakes detectors. Motivated by the fact that…

Computer Vision and Pattern Recognition · Computer Science 2020-08-27 Hua Qi , Qing Guo , Felix Juefei-Xu , Xiaofei Xie , Lei Ma , Wei Feng , Yang Liu , Jianjun Zhao

Remote photoplethysmography (rPPG) technology has drawn increasing attention in recent years. It can extract Blood Volume Pulse (BVP) from facial videos, making many applications like health monitoring and emotional analysis more…

Computer Vision and Pattern Recognition · Computer Science 2023-03-13 Hao Lu , Zitong Yu , Xuesong Niu , Yingcong Chen

Purpose: The objective of this work is to introduce an advanced framework designed to enhance ultrasound images, especially those captured by portable hand-held devices, which often produce lower quality images due to hardware constraints.…

Image and Video Processing · Electrical Eng. & Systems 2024-12-19 Shreeram Athreya , Ashwath Radhachandran , Vedrana Ivezić , Vivek Sant , Corey W. Arnold , William Speier

Remote photoplethysmography (rPPG) based physiological measurement is an emerging yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from facial videos accompanied by noises of illumination variations,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-16 Wei Qian , Dan Guo , Kun Li , Xilan Tian , Meng Wang

Photoplethysmography (PPG) signals, typically acquired from wearable devices, hold significant potential for continuous fitness-health monitoring. In particular, heart conditions that manifest in rare and subtle deviating heart patterns may…

Machine Learning · Computer Science 2023-07-14 Ramin Ghorbani , Marcel J. T. Reinders , David M. J. Tax

Photoplethysmography (PPG) is a ubiquitous physiological measurement that detects beat-to-beat pulsatile blood volume changes and hence has a potential for monitoring cardiovascular conditions, particularly in ambulatory settings. A PPG…

Signal Processing · Electrical Eng. & Systems 2022-02-01 Cheng Ding , Ran Xiao , Duc Do , David Scott Lee , Shadi Kalantarian , Randall J Lee , Xiao Hu

Amongst all medical biometric traits, Photoplethysmograph (PPG) is the easiest to acquire. PPG records the blood volume change with just combination of Light Emitting Diode and Photodiode from any part of the body. With IoT and smart homes'…

Cryptography and Security · Computer Science 2017-12-25 Umang Yadav , Sherif N Abbas , Dimitrios Hatzinakos

Photoplethysmography (PPG) plays a crucial role in continuous cardiovascular health monitoring as a non-invasive and cost-effective modality. However, PPG signals are susceptible to motion artifacts and noise, making accurate estimation of…

Signal Processing · Electrical Eng. & Systems 2026-02-05 Shuntaro Suzuki , Shuitsu Koyama , Shinnosuke Hirano , Shunya Nagashima

There has been growing interest in facial video-based remote photoplethysmography (rPPG) measurement recently, with a focus on assessing various vital signs such as heart rate and heart rate variability. Despite previous efforts on static…

Computer Vision and Pattern Recognition · Computer Science 2024-07-10 Pengfei Zhao , Qigong Sun , Xiaolin Tian , Yige Yang , Shuo Tao , Jie Cheng , Jiantong Chen

Video photoplethysmography (vPPG) is an emerging method for non-invasive and convenient measurement of physiological signals, utilizing two primary approaches: remote video PPG (rPPG) and contact video PPG (cPPG). Monitoring vitals in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Ke Liu , Jiankai Tang , Zhang Jiang , Yuntao Wang , Xiaojing Liu , Dong Li , Yuanchun Shi

Remote photoplethysmography (rPPG) has been widely applied to measure heart rate from face videos. To increase the generalizability of the algorithms, domain generalization (DG) attracted increasing attention in rPPG. However, when rPPG is…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Jiyao Wang , Hao Lu , Ange Wang , Xiao Yang , Yingcong Chen , Dengbo He , Kaishun Wu

Photolethysmographic imaging (PPGI) is a widefield non-contact biophotonic technology able to remotely monitor cardiovascular function over anatomical areas. Though spatial context can provide increased physiological insight, existing PPGI…

Quantitative Methods · Quantitative Biology 2016-12-21 Robert Amelard , David A Clausi , Alexander Wong

Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; however, cuff-based…

Engagement measurement finds application in healthcare, education, services. The use of physiological and behavioral features is viable, but the impracticality of traditional physiological measurement arises due to the need for contact…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Alexander Vedernikov , Zhaodong Sun , Virpi-Liisa Kykyri , Mikko Pohjola , Miriam Nokia , Xiaobai Li

Photoplethysmography (PPG) is a widely used non-invasive sensing modality for continuous cardiovascular and physiological monitoring across clinical, laboratory, and wearable settings. While existing PPG datasets support a broad range of…

Computation and Language · Computer Science 2026-05-08 Hung Manh Pham , Jinyang Wu , Xiao Ma , Yiming Zhang , Yixin Xu , Aaqib Saeed , Bin Zhu , Zhou Pan , Dong Ma

Cardiac abnormalities affecting heart rate and rhythm are commonly observed in both healthy and acutely unwell people. Although many of these are benign, they can sometimes indicate a serious health risk. ECG monitors are typically used to…

Signal Processing · Electrical Eng. & Systems 2018-07-12 Stewart Whiting , Samuel Moreland , Jason Costello , Glen Colopy , Christopher McCann

Unobservable physiological signals enhance biometric authentication systems. Photoplethysmography (PPG) signals are convenient owning to its ease of measurement and are usually well protected against remote adversaries in authentication.…

Cryptography and Security · Computer Science 2022-03-03 Lin Li , Chao Chen , Lei Pan , Jun Zhang , Yang Xiang

Functional ultrasound (fUS) is a neuroimaging technique known for its high spatiotemporal resolution, enabling non-invasive observation of brain activity through neurovascular coupling. Despite its potential in clinical applications such as…

Image and Video Processing · Electrical Eng. & Systems 2025-08-20 Zhuo Li , Xuhang Chen , Shuqiang Wang , Bin Yuan , Nou Sotheany , Ngeth Rithea

Photoplethysmogram (PPG) signal-based blood pressure (BP) estimation is a promising candidate for modern BP measurements, as PPG signals can be easily obtained from wearable devices in a non-invasive manner, allowing quick BP measurement.…

Signal Processing · Electrical Eng. & Systems 2021-03-01 Hyeongju Kim , Woo Hyun Kang , Hyeonseung Lee , Nam Soo Kim