Recent advances in cardiovascular disease biosensors and monitoring technologies
Cardiovascular disease (CVD) causes significant mortality and remains the leading cause of
death globally. Thus, to reduce mortality, early diagnosis by measurement of cardiac …
death globally. Thus, to reduce mortality, early diagnosis by measurement of cardiac …
Human vital signs detection methods and potential using radars: A review
Continuous monitoring of vital signs, such as respiration and heartbeat, plays a crucial role
in early detection and even prediction of conditions that may affect the wellbeing of the …
in early detection and even prediction of conditions that may affect the wellbeing of the …
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier
In this work, a non-invasive diabetes mellitus detection system is proposed based on the
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
CardioXNet: A novel lightweight deep learning framework for cardiovascular disease classification using heart sound recordings
The alarmingly high mortality rate and increasing global prevalence of cardiovascular
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …
A novel broadband forcecardiography sensor for simultaneous monitoring of respiration, infrasonic cardiac vibrations and heart sounds
The precordial mechanical vibrations generated by cardiac contractions have a rich
frequency spectrum. While the lowest frequencies can be palpated, the higher infrasonic …
frequency spectrum. While the lowest frequencies can be palpated, the higher infrasonic …
Sensors for context-aware smart healthcare: A security perspective
The advances in the miniaturisation of electronic devices and the deployment of cheaper
and faster data networks have propelled environments augmented with contextual and real …
and faster data networks have propelled environments augmented with contextual and real …
Novel phonocardiography system for heartbeat detection from various locations
The paper presents evaluation of the proposed phonocardiography (PCG) measurement
system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR …
system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR …
Audio for audio is better? An investigation on transfer learning models for heart sound classification
Cardiovascular disease is one of the leading factors for death cause of human beings. In the
past decade, heart sound classification has been increasingly studied for its feasibility to …
past decade, heart sound classification has been increasingly studied for its feasibility to …
ECG-free heartbeat detection in seismocardiography signals via template matching
Cardiac monitoring can be performed by means of an accelerometer attached to a subject's
chest, which produces the Seismocardiography (SCG) signal. Detection of SCG heartbeats …
chest, which produces the Seismocardiography (SCG) signal. Detection of SCG heartbeats …
Automatic heart sound classification from segmented/unsegmented phonocardiogram signals using time and frequency features
Objective: Heart abnormality detection using heart sound signals (phonocardiogram (PCG))
has been an active research area for the last few decades. In this paper, automatic heart …
has been an active research area for the last few decades. In this paper, automatic heart …