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Understanding physiological responses during running is critical for performance optimization, tailored training prescriptions, and athlete health management. We introduce a comprehensive framework -- what we believe to be the first capable…

Machine Learning · Computer Science 2025-05-02 Barak Gahtan , Sanketh Vedula , Gil Samuelly Leichtag , Einat Kodesh , Alex M. Bronstein

Purpose: Performance models are important tools for coaches and athletes to optimise competition outcomes or training schedules. A recently published hydraulic performance model has been reported to outperform established work-balance…

Quantitative Methods · Quantitative Biology 2022-08-01 Fabian C. Weigend , Edward Gray , Oliver Obst , Jason Siegler

Aims. Clinical data indicating a heart rate (HR) target during rate control therapy for permanent atrial fibrillation (AF) and assessing its eventual relationship with reduced exercise tolerance are lacking. The present study aims at…

Medical Physics · Physics 2017-01-17 Matteo Anselmino , Stefania Scarsoglio , Andrea Saglietto , Fiorenzo Gaita , Luca Ridolfi

Combining interconnected wearables provides fascinating opportunities like augmenting exergaming with virtual coaches, feedback on the execution of sports activities, or how to improve on them. Breathing rhythm is a particularly interesting…

Heart failure (HF) poses a significant global health challenge, with early detection offering opportunities for improved outcomes. Abnormalities in heart rate (HR), particularly during daily activities, may serve as early indicators of HF…

Machine Learning · Computer Science 2026-01-19 Yaowen Zhang , Libera Fresiello , Peter H. Veltink , Dirk W. Donker , Ying Wang

Heart rate recovery (HRR) within the initial minute following exercise is a widely utilized metric for assessing cardiac autonomic function in individuals and predicting mortality risk in patients with cardiovascular disease. However,…

Signal Processing · Electrical Eng. & Systems 2025-03-31 Ziheng Mao , Yuan He , Jia Zhang , Yimiao Sun , Yadong Xie , Xiuzhen Guo

Cardiorespiratory fitness is an established predictor of metabolic disease and mortality. Fitness is directly measured as maximal oxygen consumption (VO$_{2}max$), or indirectly assessed using heart rate responses to standard exercise…

Machine Learning · Computer Science 2023-08-28 Dimitris Spathis , Ignacio Perez-Pozuelo , Tomas I. Gonzales , Yu Wu , Soren Brage , Nicholas Wareham , Cecilia Mascolo

Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's electrical and mechanical functions. While effective, imaging techniques like echocardiography and nuclear imaging are costly and not widely…

Medical Physics · Physics 2024-10-28 Sajjad Karimi , Shirin Karimi , Amit J. Shah , Gari D. Clifford , Reza Sameni

Heart rate variability (HRV) is a practical and noninvasive measure of autonomic nervous system activity, which plays an essential role in cardiovascular health. However, using HRV to assess physiology status is challenging. Even in…

Signal Processing · Electrical Eng. & Systems 2022-03-24 Jiacheng Zhu , Gregory Darnell , Agni Kumar , Ding Zhao , Bo Li , Xuanlong Nguyen , Shirley You Ren

The reactions of the human body to physical exercise, psychophysiological stress and heart diseases are reflected in heart rate variability (HRV). Thus, continuous monitoring of HRV can contribute to determining and predicting issues in…

Fluctuations of the human heart beat constitute a complex system that has been studied mostly under resting conditions using conventional time series analysis methods. During physical exercise, the variability of the fluctuations is…

Data Analysis, Statistics and Probability · Physics 2020-08-13 Matti Molkkari , Giorgio Angelotti , Thorsten Emig , Esa Räsänen

Amateur runners are increasingly using wearable devices to track their training, and often do so through simple metrics such as heart rate and pace. However, these metrics are typically analyzed in isolation and lack the explainability…

Human-Computer Interaction · Computer Science 2025-09-16 Evgeny V. Votyakov , Marios Constantinides , Fotis Liarokapis

Respiratory rate (RR) is a clinical metric used to assess overall health and physical fitness. An individual's RR can change from their baseline due to chronic illness symptoms (e.g., asthma, congestive heart failure), acute illness (e.g.,…

Sound · Computer Science 2021-07-30 Agni Kumar , Vikramjit Mitra , Carolyn Oliver , Adeeti Ullal , Matt Biddulph , Irida Mance

The assessment of energy expenditure in real life is of great importance for monitoring the current physical state of people, especially in work, sport, elderly care, health care, and everyday life even. This work reports about application…

Machine Learning · Computer Science 2019-12-23 Peng Gang , Wei Zeng , Yuri Gordienko , Oleksandr Rokovyi , Oleg Alienin , Sergii Stirenko

With the soaring adoption of in-ear wearables, the research community has started investigating suitable in-ear heart rate (HR) detection systems. HR is a key physiological marker of cardiovascular health and physical fitness. Continuous…

Human-Computer Interaction · Computer Science 2023-04-25 Kayla-Jade Butkow , Ting Dang , Andrea Ferlini , Dong Ma , Cecilia Mascolo

Oxygen consumption (VO$_2$) provides established clinical and physiological indicators of cardiorespiratory function and exercise capacity. However, VO$_2$ monitoring is largely limited to specialized laboratory settings, making its…

Machine Learning · Computer Science 2021-10-14 Robert Amelard , Eric T Hedge , Richard L Hughson

Heart rate variability (HRV), defined as the variability between consecutive heartbeats, is a surrogate measure of cardiac vagal tone. It is widely accepted that a decreased HRV is associated to several risk factors and cardiovascular…

Medical Physics · Physics 2021-05-20 Stefania Scarsoglio , Luca Ridolfi

Human movements are physical processes combining the classical mechanics of the human body moving in space and the biomechanics of the muscles generating the forces acting on the body under sophisticated sensory-motor control. The…

Quantitative Methods · Quantitative Biology 2018-12-12 Stuart Hagler

We present a novel system for camera-based measurement and visualization of muscle work based on the Hill-Type-Muscle-Model: the exercise exertion muscle-work monitor (\textit{XEM}$^{2}$). Our aim is to complement and, thus, address issues…

IoT-based devices and wearable sensors are now common in daily life, with smartwatches, smartphones, and other digital tools tracking physical activity and health data. This lifelogging process provides valuable insights into people's…

Human-Computer Interaction · Computer Science 2025-03-13 Yu Peng , Guoqing Zhang , Huadong Pang
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