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Heart and respiration rate measurement using Doppler radar is a non-contact and non-obstructive way for remote thorough-clothing monitoring of vital signs. The modulated back-scattered radar signal in the presence of high noise and…

Medical Physics · Physics 2013-10-11 Somayeh Kazemi , Ayaz Ghorbani , Hamidreza Amindavar , Changzhi Li

Different measures of heart rate variability and particularly of respiratory sinus arrhythmia are widely used in research and clinical applications. Inspired by the ideas from the theory of coupled oscillators, we use simultaneous…

Contraction of the left ventricle of the heart increases aortic root blood pressure (P), diameter (D) and blood velocity (U). When contraction diminishes, all three properties decrease. These perturbations propagate down the systemic…

Medical Physics · Physics 2026-02-23 Ethan M. Rowland , Peter D. Weinberg

Abdominal sounds (ABS) have been traditionally used for assessing gastrointestinal (GI) disorders. However, the assessment requires a trained medical professional to perform multiple abdominal auscultation sessions, which is…

Audio and Speech Processing · Electrical Eng. & Systems 2023-04-24 Jake Stuchbury-Wass , Erika Bondareva , Kayla-Jade Butkow , Sanja Scepanovic , Zoran Radivojevic , Cecilia Mascolo

Remote patient monitoring based on wearable single-lead electrocardiogram (ECG) devices has significant potential for enabling the early detection of heart disease, especially in combination with artificial intelligence (AI) approaches for…

Signal Processing · Electrical Eng. & Systems 2024-04-30 Aruna Mohan , Danne Elbers , Or Zilbershot , Fatemeh Afghah , David Vorchheimer

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease that appears between the second and forth decade of a patient's life, being responsible for 20% of sudden cardiac deaths before the age of 35. The…

Signal Processing · Electrical Eng. & Systems 2022-09-07 Vasileios E. Papageorgiou , Thomas Zegkos , Georgios Efthimiadis , George Tsaklidis

Many types of ventricular and atrial cardiac arrhythmias have been discovered in clinical practice in the past 100 years, and these arrhythmias are a major contributor to sudden cardiac death. Ventricular tachycardia, ventricular…

Machine Learning · Computer Science 2022-06-13 Ashkan Parsi

Wearable devices enable theoretically continuous, longitudinal monitoring of physiological measurements like step count, energy expenditure, and heart rate. Although the classification of abnormal cardiac rhythms such as atrial fibrillation…

Signal Processing · Electrical Eng. & Systems 2020-01-28 Jessica Torres Soto , Euan Ashley

Atrial Fibrillation (AF) is a common cardiac arrhythmia affecting a large number of people around the world. If left undetected, it will develop into chronic disability or even early mortality. However, patients who have this problem can…

Signal Processing · Electrical Eng. & Systems 2021-01-20 Dacheng Chen , Dan Li , Xiuqin Xu , Ruizhi Yang , See-Kiong Ng

Recent developments in cardiovascular modelling allow us to simulate blood flow in an entire human body. Such model can also be used to create databases of virtual subjects, with sizes limited only by computational resources. In this work,…

Medical Physics · Physics 2020-07-01 Janne M. J. Huttunen , Leo Kärkkäinen , Harri Lindholm

Based on CT and MRI images acquired from normal pressure hydrocephalus (NPH) patients, using machine learning methods, we aim to establish a multi-modal and high-performance automatic ventricle segmentation method to achieve efficient and…

Medical Physics · Physics 2022-02-02 Xi Zhou , Qinghao Ye , Xiaolin Yang , Jiakuan Chen , Haiqin Ma , Jun Xia , Javier Del Ser , Guang Yang

Receiver-operating-characteristic (ROC) analysis was used to assess the suitability of various heart rate variability (HRV) measures for correctly classifying electrocardiogram records of varying lengths as normal or revealing the presence…

Medical Physics · Physics 2019-10-23 Stefan Thurner , Markus C. Feurstein , Steven B. Lowen , Malvin C. Teich

Atrial Fibrillation (AF) is a heart's arrhythmia which, despite being often asymptomatic, represents an important risk factor for stroke, therefore being able to predict AF at the electrocardiogram exam, would be of great impact on actively…

Signal Processing · Electrical Eng. & Systems 2022-02-14 A. Scagnetto , G. Barbati , I. Gandin , C. Cappelletto , G. Baj , A. Cazzaniga , F. Cuturello , A. Ansuini , L. Bortolussi , A. Di Lenarda

While cardiovascular diseases (CVDs) are prevalent across economic strata, the economically disadvantaged population is disproportionately affected due to the high cost of traditional CVD management. Accordingly, developing an…

Machine Learning · Computer Science 2017-05-25 Bollepalli S. Chandra , Challa S. Sastry , Laxminarayana Anumandla , Soumya Jana

Detection of atrial fibrillation (AF), a type of cardiac arrhythmia, is difficult since many cases of AF are usually clinically silent and undiagnosed. In particular paroxysmal AF is a form of AF that occurs occasionally, and has a higher…

Neurons and Cognition · Quantitative Biology 2018-05-24 Supreeth P. Shashikumar , Amit J. Shah , Gari D. Clifford , Shamim Nemati

This paper presents the proof-of-concept investigation for a miniaturized vectorcardiogram [VCG] system for ambulatory on-body applications that continuously monitors the electrical activity of the heart in three dimensions. We investigate…

In this paper, we report high-precision absolute distance and vibration measurements performed with frequency scanned interferometry using a pair of single-mode optical fibers. Absolute distance was determined by counting the interference…

Optics · Physics 2009-11-10 Hai-Jun Yang , Jason Deibel , Sven Nyberg , Keith Riles

Atrial fibrillation(termed as AF/Afib henceforth) is a discrete and often rapid heart rhythm that can lead to clots near the heart. We can detect Afib by ECG signal by the absence of p and inconsistent intervals between R waves as shown in…

Machine Learning · Computer Science 2021-12-24 Arjun Sridharkumar , Sai Bhargav , Rahul Guntha

The Electrocardiogram (ECG) is a sensitive diagnostic tool that is used to detect various cardiovascular diseases by measuring and recording the electrical activity of the heart in exquisite detail. A wide range of heart condition is…

Computer Vision and Pattern Recognition · Computer Science 2012-09-10 Sayantan Mukhopadhyay , Shouvik Biswas , Anamitra Bardhan Roy , Nilanjan Dey

Deviations in respiratory rate often precede abnormalities in other vital signs. However, continuously monitoring respiratory rates outside clinical settings remains challenging due to the obtrusive nature and sensitivity to body motions in…

Signal Processing · Electrical Eng. & Systems 2024-11-15 Sebastian Reidy , Manuel Meier , Christian Holz