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Related papers: Heart Rate Extraction from Abdominal Audio Signals

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Continuous monitoring of heart rate variability (HRV) provides insights in cardiovascular health. Wearable Photoplethysmography (PPG) assures convenient measurement of HRV. PPG, however, is susceptible to motion artifacts, considerably…

Signal Processing · Electrical Eng. & Systems 2024-04-17 Luffina C. Huang

The recent developments in wearable devices and the Internet of Medical Things (IoMT) allow real-time monitoring and recording of electrocardiogram (ECG) signals. However, continuous monitoring of ECG signals is challenging in low-power…

Signal Processing · Electrical Eng. & Systems 2021-12-16 Berken Utku Demirel , Islam Abdelsalam Bayoumy , Mohammad Abdullah Al Faruque

Although the heart has complex three-dimensional (3D) anatomy, conventional medical imaging with cardiac ultrasound relies on a series of 2D videos showing individual cardiac structures. 3D echocardiography is a developing modality that now…

Computer Vision and Pattern Recognition · Computer Science 2025-11-24 Milos Vukadinovic , Hirotaka Ieki , Yuki Sahashi , David Ouyang , Bryan He

While automatic tracking and measuring of our physical activity is a well established domain, not only in research but also in commercial products and every-day life-style, automatic measurement of eating behavior is significantly more…

Audio and Speech Processing · Electrical Eng. & Systems 2021-08-03 Vasileios Papapanagiotou , Stefanos Ganotakis , Anastasios Delopoulos

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

Ultrasound is an adjunct tool to mammography that can quickly and safely aid physicians with diagnosing breast abnormalities. Clinical ultrasound often assumes a constant sound speed to form B-mode images for diagnosis. However, the various…

Computer Vision and Pattern Recognition · Computer Science 2023-02-08 Walter A. Simson , Magdalini Paschali , Vasiliki Sideri-Lampretsa , Nassir Navab , Jeremy J. Dahl

Monitoring the stress level in patients with neurodegenerative diseases can help manage symptoms, improve patient's quality of life, and provide insight into disease progression. In the literature, ECG, actigraphy, speech, voice, and facial…

Machine Learning · Computer Science 2025-04-30 Davide Gabrielli , Bardh Prenkaj , Paola Velardi

This paper presents a smart cushion for real time heart rate monitoring. The cushion comprises of an integrated micro-bending fiber sensor, which records the BCG (Ballistocardiogram) signal without direct skin-electrode contact, and an…

Other Computer Science · Computer Science 2014-09-30 Chacko John Deepu , Zhihao Chen , Ju Teng Teo , Soon Huat Ng , Xiefeng Yang , Yong Lian

Out-of-hospital cardiac arrest (OHCA) is a leading cause of death worldwide. Rapid diagnosis and initiation of cardiopulmonary resuscitation (CPR) is the cornerstone of therapy for victims of cardiac arrest. Yet a significant fraction of…

Computers and Society · Computer Science 2019-03-01 Justin Chan , Thomas Rea , Shyamnath Gollakota , Jacob E. Sunshine

The purpose of the Evaluating ECG capturing using sound-card of PC/Laptop is provided portable and low cost ECG monitoring system using laptop and mobile phones. There is no need to interface micro controller or any other device to transmit…

Other Computer Science · Computer Science 2014-02-18 Bhavikkumar Patel , Dhrumil Shah

Background and Objectives: This paper focuses on using AI to assess the cognitive function of older adults with mild cognitive impairment or mild dementia using physiological data provided by a wearable device. Cognitive screening tools are…

Neurons and Cognition · Quantitative Biology 2025-11-10 Assma Habadi , Milos Zefran , Lijuan Yin , Woojin Song , Maria Caceres , Elise Hu , Naoko Muramatsu

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

Objective: This study aimed to evaluate which voice features can predict health deterioration in patients with chronic HF. Background: Heart failure (HF) is a chronic condition with progressive deterioration and acute decompensations, often…

Sepsis, characterized by a dysregulated immune response to infection, results in significant mortality, morbidity, and healthcare costs. The timely prediction of sepsis progression is crucial for reducing adverse outcomes through early…

Machine Learning · Computer Science 2026-01-01 Alireza Rafiei , Farshid Hajati , Alireza Rezaee , Amirhossien Panahi , Shahadat Uddin

Multiresolution Wavelet Transform and Detrended Fluctuation Analysis have been recently proven as excellent methods in the analysis of Heart Rate Variability, and in distinguishing between healthy subjects and patients with various…

In the last few decades, several wearable devices have been designed to monitor respiration rate in an effort to capture pulmonary signals with higher accuracy and reduce patients' discomfort during use. In this article, we present the…

Signal Processing · Electrical Eng. & Systems 2024-12-10 Bardia Baraeinejad , Maryam Forouzesh , Saba Babaei , Yasin Naghshbandi , Yasaman Torabi , Shabnam Fazliani

Objective: Sleep related respiratory abnormalities are typically detected using polysomnography. There is a need in general medicine and critical care for a more convenient method to automatically detect sleep apnea from a simple,…

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

Heart Rate Variability (HRV) measures the variation of the time between consecutive heartbeats and is a major indicator of physical and mental health. Recent research has demonstrated that photoplethysmography (PPG) sensors can be used to…

Machine Learning · Computer Science 2023-03-27 Yuntong Zhang , Jingye Xu , Mimi Xie , Dakai Zhu , Houbing Song , Wei Wang

Objective: Commercial and research-grade wearable devices have become increasingly popular over the past decade. Information extracted from devices using accelerometers is frequently summarized as ``number of steps" (commercial devices) or…

Applications · Statistics 2023-06-14 Hau-Tieng Wu , Jacek Urbanek
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