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Cardiovascular disease (CD) is the number one leading cause of death worldwide, accounting for more than 17 million deaths in 2015. Critical indicators of CD include heart murmurs, intense sounds emitted by the heart during periods of…

信号处理 · 电气工程与系统科学 2021-01-01 Ankit Gupta , George Tang , Sylesh Suresh

Stay at home order during the COVID-19 helps flatten the curve but ironically, instigate mental health problems among the people who have Substance Use Disorders. Measuring the electrical activity signals in brain using off-the-shelf…

人机交互 · 计算机科学 2022-04-15 Emon Dey , Nirmalya Roy

The obstructive sleep apnea-hypopnea (OSAH) syndrome is a very common and frequently undiagnosed sleep disorder. It is characterized by repeated events of partial (hypopnea) or total (apnea) obstruction of the upper airway while sleeping.…

信号处理 · 电气工程与系统科学 2020-03-25 R. E. Rolon , I. E. Gareis , L. D. Larrateguy , L. E. Di Persia , R. D. Spies , H. L. Rufiner

Continuous monitoring of vital signs is of paramount importance. These critical physiological parameters play a crucial role in the early detection of conditions that affect the well-being of a patient. However, conventional contact-based…

信号处理 · 电气工程与系统科学 2023-07-19 Gabriel Beltrão , Udo Schroeder

Cardiopulmonary resuscitation (CPR) is one of the most critical emergency interventions for sudden cardiac arrest. In this paper, a robust sinusoidal model-fitting method based on a Evolution Strategy inspired algorithm for CPR quality…

神经与进化计算 · 计算机科学 2020-10-27 Christian Lins , Björn Friedrich , Andreas Hein , Sebastian Fudickar

Sleep apnea (SA) is a chronic sleep-related disorder consisting of repetitive pauses or restrictions in airflow during sleep and is known to be a risk factor for cerebro- and cardiovascular disease. It is generally diagnosed using…

This work presents the use of frequency modulated continuous wave (FMCW) radar technology combined with a machine learning model to differentiate between normal and abnormal breath rates. The proposed system non-contactly collects data…

机器学习 · 计算机科学 2024-07-19 Mohammad Wassaf Ali , Ayushi Gupta , Mujeev Khan , Mohd Wajid

Objective: Ultrasound (US) examination has unique advantages in diagnosing carpal tunnel syndrome (CTS) while identifying the median nerve (MN) and diagnosing CTS depends heavily on the expertise of examiners. To alleviate this problem, we…

图像与视频处理 · 电气工程与系统科学 2024-02-09 Jiayu Peng , Jiajun Zeng , Manlin Lai , Ruobing Huang , Dong Ni , Zhenzhou Li

Time event cameras are a novel technology for recording scene information at extremely low latency and with low power consumption. Event cameras output a stream of events that encapsulate pixel-level light intensity changes within the…

计算机视觉与模式识别 · 计算机科学 2025-06-25 Mohamed Moustafa , Joseph Lemley , Peter Corcoran

Estimating human vital signs in a contactless non-invasive method using radar provides a convenient method in the medical field to conduct several health checkups easily and quickly. In addition to monitoring while sitting and sleeping, the…

信号处理 · 电气工程与系统科学 2022-06-14 Tassneem Helal , Fady Aziz , Omar Metwally , Marco F. Huber , Dominik Alscher , Christoph Wasser , Urs Schneider

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…

人机交互 · 计算机科学 2023-04-25 Kayla-Jade Butkow , Ting Dang , Andrea Ferlini , Dong Ma , Cecilia Mascolo

Currently every day in the USA 1000 people die of sudden cardiac arrest (SCA) outside of hospitals or ambulances - before emergency medical help arrives - in the streets, workplaces, schools and homes of our cities, adults and children.…

计算机与社会 · 计算机科学 2016-09-29 Nadine Levick

This paper presents a non-contact vital signs (respiration and heartbeat) monitoring system that utilizes visible light sensing (VLS) technology. We have for the first time demonstrated the ability to wirelessly (non-contact) sense vital…

信号处理 · 电气工程与系统科学 2019-12-17 Hisham Abuella , Sabit Ekin

Objective: Chronic obstructive pulmonary disease (COPD) is a highly prevalent chronic condition. COPD is a major source of morbidity, mortality and healthcare costs. Spirometry is the gold standard test for a definitive diagnosis and…

信号处理 · 电气工程与系统科学 2020-12-11 Jeremy Levy , Daniel Alvarez , Felix del Campo , Joachim A. Behar

Heart failure (HF) is a leading cause of morbidity, mortality, and health care costs. Prolonged conduction through the myocardium can occur with HF, and a device-driven approach, termed cardiac resynchronization therapy (CRT), can improve…

机器学习 · 计算机科学 2021-09-14 Brendan E. Odigwe , Francis G. Spinale , Homayoun Valafar

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…

机器学习 · 计算机科学 2022-06-13 Ashkan Parsi

The artificial intelligence (AI) system has achieved expert-level performance in electrocardiogram (ECG) signal analysis. However, in underdeveloped countries or regions where the healthcare information system is imperfect, only paper ECGs…

Assessment of heart sounds is the cornerstone of cardiac examination, but it requires a stethoscope, skills and experience, and a direct contact with the patient. We developed a contactless, machine-learning assisted method for heart-sound…

Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous disease that seriously jeopardizes the health of human beings. Polysomnography (PSG), the gold standard of detecting OSA, requires multiple specialized sensors for signal…

信号处理 · 电气工程与系统科学 2021-01-11 Guanhua Ye , Hongzhi Yin , Tong Chen , Hongxu Chen , Lizhen Cui , Xiangliang Zhang

Cardiovascular disease has become one of the most significant threats endangering human life and health. Recently, Electrocardiogram (ECG) monitoring has been transformed into remote cardiac monitoring by Holter surveillance. However, the…

信号处理 · 电气工程与系统科学 2022-01-26 Peng Wang , Zihuai Lin , Xucun Yan , Zijiao Chen , Ming Ding , Yang Song , Lu Meng