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Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower weight gain, emphasising the need for more objective and reliable pain assessment methods. Hence, automated methods using behavioural and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Ashutosh Dhamaniya , Anup Kumar Gupta , Trishna Saikia , Puneet Gupta

Remote photoplethysmography (rPPG) enables non-contact measurement of physiological signals from facial videos, offering strong potential for remote healthcare and daily health monitoring. Driven by this potential, various deep…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Jun Seong Lee , Samyeul Noh , Changki Sung , Hyun Myung

Seismocardiography (SCG) is a non-invasive method that can be used for cardiac activity monitoring. This paper presents a new electrocardiogram (ECG) independent approach for estimating heart rate (HR) during low and high lung volume (LLV…

Signal Processing · Electrical Eng. & Systems 2019-02-04 Amirtaha Taebi , Andrew J Bomar , Richard H Sandler , Hansen A Mansy

Respiratory rate (RR) is a critical health indicator often monitored under inconvenient scenarios, limiting its practicality for continuous monitoring. Photoplethysmography (PPG) sensors, increasingly integrated into wearable devices, offer…

Signal Processing · Electrical Eng. & Systems 2024-10-08 Yuyang Miao , Zehua Chen , Chang Li , Danilo Mandic

Cardiovascular diseases remain a leading cause of mortality and disability. The convenient measurement of cardiovascular health using smart systems is therefore a key enabler to foster accurate and early detection and diagnosis of…

Signal Processing · Electrical Eng. & Systems 2025-05-21 Nima Bahmani , Dariush Salami , Hüseyin Yiğitler , Juhapekka Hietala , Tuukka Panula , Stephan Sigg

Photoplethysmography (PPG) is a widely used non-invasive physiological sensing technique, suitable for various clinical applications. Such clinical applications are increasingly supported by machine learning methods, raising the question of…

Heart rate variability (HRV) analysis is important for the assessment of autonomic cardiovascular regulation. The inverse Gaussian process (IGP) has been widely used for beat-to-beat HRV modeling, as it gives a physiological relevant…

Signal Processing · Electrical Eng. & Systems 2026-04-21 Runwei Lin , Ying Wang

Remote photoplethysmography (rPPG) enables contactless physiological sensing from facial videos by analyzing subtle appearance variations induced by blood circulation. However, modeling the temporal dynamics of these signals remains…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Ba-Thinh Nguyen , Thi-Duyen Ngo , Thanh-Trung Huynh , Thanh-Ha Le , Huy-Hieu Pham

Electrocardiography (ECG) plays a significant role in diagnosing heart-related issues, it provides, accurate, fast, and dependable insights into crucial parameters like QRS complex duration, the R-R interval, and the occurrence, amplitude,…

Signal Processing · Electrical Eng. & Systems 2023-07-24 Kavya Remesh , Job Chunkath

Remote detection of the cardiac pulse has a number of applications in sports and medicine, and can be used to determine the physiological state of the subject. Previous approaches to estimate Heart Rate from video require the subject to…

Image and Video Processing · Electrical Eng. & Systems 2019-01-03 Arvind Subramaniam , Rajitha K

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with significant health ramifications, including an elevated susceptibility to ischemic stroke, heart disease, and heightened mortality. Photoplethysmography (PPG) has…

Signal Processing · Electrical Eng. & Systems 2023-10-24 Cheng Ding , Ran Xiao , Weijia Wang , Elizabeth Holdsworth , Xiao Hu

This paper presents a novel method for remote heart rate (HR) estimation. Recent studies have proved that blood pumping by the heart is highly correlated to the intense color of face pixels, and surprisingly can be utilized for remote HR…

Computer Vision and Pattern Recognition · Computer Science 2020-02-13 Mohammad Sabokrou , Masoud Pourreza , Xiaobai Li , Mahmood Fathy , Guoying Zhao

Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling remote health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are…

Computer Vision and Pattern Recognition · Computer Science 2023-03-15 Jeremy Speth , Nathan Vance , Patrick Flynn , Adam Czajka

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

Recent advances in remote heart rate measurement, motivated by data-driven approaches, have notably enhanced accuracy. However, these improvements primarily focus on recovering the rPPG signal, overlooking the implicit challenges of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Joaquim Comas , Adria Ruiz , Federico Sukno

Wearables are widely used for mobile health monitoring, and photoplethysmography (PPG) is a key sensing modality for heart rate and related physiological measurements. However, public in-the-wild PPG datasets remain largely wrist-centric or…

Human-Computer Interaction · Computer Science 2026-05-20 Jiayi Shao , Jiaying Ye , Shengyao Liu , Zachary Englhardt , Girish Narayanswamy , Vikram Iyer , Qiuyue Shirley Xue

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

Heart rate (HR) estimation via remote photoplethysmography (rPPG) offers a non-invasive solution for health monitoring. However, traditional single-modality approaches (RGB or Radio Frequency (RF)) face challenges in balancing robustness…

Computer Vision and Pattern Recognition · Computer Science 2025-02-20 Zheng Wu , Yiping Xie , Bo Zhao , Jiguang He , Fei Luo , Ning Deng , Zitong Yu

Camera-based vital signs monitoring in recent years has attracted more and more researchers and the results are promising. However, a few research works focus on heart rate extraction under extremely low illumination environments. In this…

Image and Video Processing · Electrical Eng. & Systems 2025-03-07 Lin Xi , Xingming Wu , Weihai Chen , Jianhua Wang , Changchen Zhao

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
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