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Opto-physiological monitoring including photoplethysmography (PPG) provides non-invasive cardiac and respiratory measurements, yet motion artefacts (MAs) during physical activity degrade its signal quality and downstream estimation…

Signal Processing · Electrical Eng. & Systems 2025-11-12 Xiaoyu Zheng , Sijung Hu , Vincent Dwyer , Mahsa Derakhshani , Laura Barrett

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

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…

Goal: A new method for heart rate monitoring using photoplethysmography (PPG) during physical activities is proposed. Methods: It jointly estimates spectra of PPG signals and simultaneous acceleration signals, utilizing the multiple…

Other Computer Science · Computer Science 2015-07-22 Zhilin Zhang

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

Background: In recent years automated data analysis techniques have drawn great attention and are used in almost every field of research including biomedical. Artificial Neural Networks (ANNs) are one of the Computer- Aided- Diagnosis tools…

Neural and Evolutionary Computing · Computer Science 2012-11-08 M. Bazarghan , Y. Jaberi , R. Amandi , M. Abedi

Wearable physiological monitors are ubiquitous, and photoplethysmography (PPG) is the standard low-cost sensor for measuring cardiac activity. Metrics such as inter-beat interval (IBI) and pulse-rate variability (PRV) -- core markers of…

Other Computer Science · Computer Science 2025-10-08 Yuna Watanabe , Natasha Yamane , Aarti Sathyanarayana , Varun Mishra , Matthew S. Goodwin

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…

Smart watches and other wearable devices are equipped with photoplethysmography (PPG) sensors for monitoring heart rate and other aspects of cardiovascular health. However, PPG signals collected from such devices are susceptible to…

Signal Processing · Electrical Eng. & Systems 2023-07-12 Pranay Jain , Cheng Ding , Cynthia Rudin , Xiao Hu

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

A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique widely used in the healthcare domain to extract valuable health-related information, e.g., heart rate variability, blood pressure, and respiration rate. PPG…

With the growing percentage of elderly people and care home admissions, there is an urgent need for the development of fall detection and fall prevention technologies. This work presents, for the first time, the use of machine learning…

Signal Processing · Electrical Eng. & Systems 2024-11-20 Robbie Maccay , Roshan Weerasekera

Wearable measurements, such as those obtained by photoplethysmogram (PPG) sensors are highly susceptible to motion artifacts and noise, affecting cardiovascular measures. Chest-acquired PPG signals are especially vulnerable, with signal…

Signal Processing · Electrical Eng. & Systems 2025-03-19 Sara Maria Pagotto , Federico Tognoni , Matteo Rossi , Dario Bovio , Caterina Salito , Luca Mainardi , Pietro Cerveri

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

Objective- Heart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various…

Photoplethysmography (PPG) is one of the most widely captured biosignals for clinical prediction tasks, yet PPG-based algorithms are typically trained on small-scale datasets of uncertain quality, which hinders meaningful algorithm…

Machine Learning · Computer Science 2026-03-24 Mohammad Moulaeifard , Philip J. Aston , Peter H. Charlton , Nils Strodthoff

Photoplethysmography (PPG) signal comprises physiological information related to cardiorespiratory health. However, while recording, these PPG signals are easily corrupted by motion artifacts and body movements, leading to noise enriched,…

Signal Processing · Electrical Eng. & Systems 2022-10-11 Tamaghno Chatterjee , Aayushman Ghosh , Sayan Sarkar

Photoplethysmogram (PPG) is increasingly used to provide monitoring of the cardiovascular system under ambulatory conditions. Wearable devices like smartwatches use PPG to allow long term unobtrusive monitoring of heart rate in free living…

Machine Learning · Computer Science 2019-03-22 Shyam A , Vignesh Ravichandran , Preejith S. P , Jayaraj Joseph , Mohanasankar Sivaprakasam

Photoplethysmography (PPG) is a non-invasive technology that measures changes in blood volume in the microvascular bed of tissue. It is commonly used in medical devices such as pulse oximeters and wrist worn heart rate monitors to monitor…

This paper considers the problem of casual heart rate tracking during intensive physical exercise using simultaneous 2 channel photoplethysmographic (PPG) and 3 dimensional (3D) acceleration signals recorded from wrist. This is a…

Information Theory · Computer Science 2016-09-13 Mahdi Boloursaz Mashhadi , Ehsan Asadi , Mohsen Eskandari , Shahrzad Kiani , Farrokh Marvasti
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