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Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both consumer and clinical settings. While motion artifacts in dynamic environments have been…

Human-Computer Interaction · Computer Science 2025-04-17 Manh Pham Hung , Matthew Yiwen Ho , Yiming Zhang , Dimitris Spathis , Aaqib Saeed , Dong Ma

Photoplethysmography (PPG) is a non-invasive and economical technique to extract vital signs of the human body. Although it has been widely used in consumer and research grade wrist devices to track a user's physiology, the PPG signal is…

Signal Processing · Electrical Eng. & Systems 2021-09-08 Runyu Mao , Mackenzie Tweardy , Stephan W. Wegerich , Craig J. Goergen , George R. Wodicka , Fengqing Zhu

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

The task of heart rate estimation using photoplethysmographic (PPG) signal is challenging due to the presence of various motion artifacts in the recorded signals. In this paper, a fast algorithm for heart rate estimation based on modified…

Signal Processing · Electrical Eng. & Systems 2018-11-28 Mohammad Tariqul Islam , Sk. Tanvir Ahmed , Celia Shahnaz , Shaikh Anowarul Fattah

The paper proposes accurate Blood Pressure Monitoring (BPM) based on a single-site Photoplethysmographic (PPG) sensor and provides an energy-efficient solution on edge cuffless wearable devices. Continuous PPG signal preprocessed and used…

Signal Processing · Electrical Eng. & Systems 2021-08-03 Wenrui Lin , Berken Utku Demirel , Mohammad Abdullah Al Faruque , G. P. Li

Photoplethysmography (PPG) sensors allow for non-invasive and comfortable heart-rate (HR) monitoring, suitable for compact wrist-worn devices. Unfortunately, Motion Artifacts (MAs) severely impact the monitoring accuracy, causing high…

Photoplethysmography (PPG) is a cost-effective and non-invasive technique that utilizes optical methods to measure cardiac physiology. PPG has become increasingly popular in health monitoring and is used in various commercial and clinical…

Machine Learning · Computer Science 2024-06-13 Khuong Vo , Mostafa El-Khamy , Yoojin Choi

Wrist photoplethysmography (PPG) allows unobtrusive monitoring of the heart rate (HR). PPG is affected by the capillary blood perfusion and the pumping function of the heart, which generally deteriorate with age and due to presence of…

PPG based heart rate (HR) monitoring has recently attracted much attention with the advent of wearable devices such as smart watches and smart bands. However, due to severe motion artifacts (MA) caused by wristband stumbles, PPG based HR…

Signal Processing · Electrical Eng. & Systems 2020-10-05 Mahmoud Essalat , Mahdi Boloursaz Mashhadi , Farokh Marvasti

Monitoring the activity of the heart is important for diagnosing and preventing cardiovascular diseases. The electrocardiogram (ECG) is the gold standard for diagnosing such diseases. It monitors the heart's electrical activity, and while…

Signal Processing · Electrical Eng. & Systems 2023-09-19 Rémi Grisot , Pierre Laurent , Claire Migliaccio , Jean-Yves Dauvignac , Mélanie Brulc , Camille Chiquet , Jean-Paul Caruana

The growing integration of smart environments and low-power computing devices, coupled with mass-market sensor technologies, is driving advancements in remote and non-contact physiological monitoring. However, deploying these systems in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Constantino Álvarez Casado , Sasan Sharifipour , Manuel Lage Cañellas , Nhi Nguyen , Le Nguyen , Miguel Bordallo López

Resting heart rate (RHR) is an important biomarker of cardiovascular health and mortality, but tracking it longitudinally generally requires a wearable device, limiting its availability. We present PHRM, a deep learning system for passive…

Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos. Despite its potential, rPPG methods can be susceptible to various artifacts, such as noise,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-01 Nhi Nguyen , Le Nguyen , Constantino Álvarez Casado , Olli Silvén , Miguel Bordallo López

Remote photoplethysmography (rPPG) is a non-contact technique for measuring cardiac signals from facial videos. High-quality rPPG pulse signals are urgently demanded in many fields, such as health monitoring and emotion recognition.…

Image and Video Processing · Electrical Eng. & Systems 2020-06-05 Rencheng Song , Huan Chen , Juan Cheng , Chang Li , Yu Liu , Xun Chen

Biometric authentication using physiological signals offers a promising path toward secure and user-friendly access control in wearable devices. While electrocardiogram (ECG) signals have shown high discriminability, their intrusive sensing…

Cryptography and Security · Computer Science 2025-08-20 Wei Shao , Zequan Liang , Ruoyu Zhang , Ruijie Fang , Ning Miao , Ehsan Kourkchi , Setareh Rafatirad , Houman Homayoun , Chongzhou Fang

Photoplethysmography is a non-invasive optical technique that measures changes in blood volume within tissues. It is commonly and increasingly used for in a variety of research and clinical application to assess vascular dynamics and…

Medical Physics · Physics 2023-09-26 Marton A. Goda , Peter H. Charlton , Joachim A. Behar

Heart rate (HR) estimation from photoplethysmography (PPG) signals is a key feature of modern wearable devices for health and wellness monitoring. While deep learning models show promise, their performance relies on the availability of…

Heart rate is a physiological signal that provides information about an individual's health and affective state. Remote photoplethysmography (rPPG) allows the estimation of this signal from video recordings of a person's face. Classical…

Machine Learning · Computer Science 2025-03-18 Bhargav Acharya , William Saakyan , Barbara Hammer , Hanna Drimalla

Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's vital (life-sustaining) functions. BP is difficult to continuously monitor using a sphygmomanometer (i.e. a blood pressure cuff), especially in…

Machine Learning · Computer Science 2021-08-03 Ali Tazarv , Marco Levorato

Objectives: This study examines human Photoplethysmogram (PPG) along with Electrocardiogram (ECG) signals to study cardiac autonomic imbalance in epileptic seizures. The significance and the prevalence of changes in PPG morphological…

Signal Processing · Electrical Eng. & Systems 2019-12-12 Seyede Mahya Safavi , Ninaz Valisharifabad , Robert Sabino , Hsinchung Chen , Ali HeydariGorji , Demi Tran , Jack Lin , Beth Lopour , Pai H. Chou