ECG-free heartbeat detection in seismocardiography signals via template matching

J Centracchio, S Parlato, D Esposito, P Bifulco… - Sensors, 2023 - mdpi.com
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 …

[HTML][HTML] Multimodal finger pulse wave sensing: Comparison of forcecardiography and photoplethysmography sensors

E Andreozzi, R Sabbadini, J Centracchio, P Bifulco… - Sensors, 2022 - mdpi.com
Pulse waves (PWs) are mechanical waves that propagate from the ventricles through the
whole vascular system as brisk enlargements of the blood vessels' lumens, caused by …

[HTML][HTML] ECG-free heartbeat detection in seismocardiography and gyrocardiography signals provides acceptable heart rate variability indices in healthy and …

S Parlato, J Centracchio, D Esposito, P Bifulco… - Sensors, 2023 - mdpi.com
Cardio-mechanical monitoring techniques, such as Seismocardiography (SCG) and
Gyrocardiography (GCG), have received an ever-growing interest in recent years as …

Heartbeat detection in gyrocardiography signals without concurrent ECG tracings

S Parlato, J Centracchio, D Esposito, P Bifulco… - Sensors, 2023 - mdpi.com
A heartbeat generates tiny mechanical vibrations, mainly due to the opening and closing of
heart valves. These vibrations can be recorded by accelerometers and gyroscopes applied …

Accurate localization of first and second heart sounds via template matching in forcecardiography signals

J Centracchio, S Parlato, D Esposito, E Andreozzi - Sensors, 2024 - mdpi.com
Cardiac auscultation is an essential part of physical examination and plays a key role in the
early diagnosis of many cardiovascular diseases. The analysis of phonocardiography (PCG) …

TPTM-HANN-GA: a novel hyperparameter optimization framework integrating the Taguchi method, an artificial neural network, and a genetic algorithm for the precise …

CM Lin, YS Lin - Mathematics, 2024 - mdpi.com
The timely and precise prediction of cardiovascular disease (CVD) risk is essential for
effective prevention and intervention. This study proposes a novel framework that integrates …

[HTML][HTML] Changes in forcecardiography heartbeat morphology induced by cardio-respiratory interactions

J Centracchio, D Esposito, GD Gargiulo, E Andreozzi - Sensors, 2022 - mdpi.com
The cardiac function is influenced by respiration. In particular, various parameters such as
cardiac time intervals and the stroke volume are modulated by respiratory activity. It has long …

[HTML][HTML] Utilizing a two-stage taguchi method and artificial neural network for the precise forecasting of cardiovascular disease risk

CM Lin, YS Lin - Bioengineering, 2023 - mdpi.com
The complexity of cardiovascular disease onset emphasizes the vital role of early detection
in prevention. This study aims to enhance disease prediction accuracy using personal …

A Portable Cardiac Dynamic Monitoring System in the Framework of Electro-Mechano-Acoustic Map**

Z Gao, Y Wang, X Xu, C Zhang, Z Dai… - … Circuits and Systems, 2023 - ieeexplore.ieee.org
Abnormalities in cardiac function arise irregularly and typically involve multimodal electrical,
mechanical vibrations, and acoustics alterations. This paper proposes an Electro-Mechano …

Effect of respiration and exercise on seismocardiographic signals

R Dhar, SE Darwish, SA Darwish, RH Sandler… - Computers in Biology …, 2025 - Elsevier
Background Seismocardiographic signals (SCG) are chest wall vibrations induced by
mechanical cardiac activities. This study investigated the morphological changes in the SCG …