Precordial vibrations: A review of wearable systems, signal processing techniques, and main applications

F Santucci, D Lo Presti, C Massaroni, E Schena… - Sensors, 2022 - mdpi.com
Recently, the ever-growing interest in the continuous monitoring of heart function in out-of-
laboratory settings for an early diagnosis of cardiovascular diseases has led to the …

Body acoustics for the non-invasive diagnosis of medical conditions

J Cook, M Umar, F Khalili, A Taebi - Bioengineering, 2022 - mdpi.com
In the past few decades, many non-invasive monitoring methods have been developed
based on body acoustics to investigate a wide range of medical conditions, including …

Machine learning-based joint vital signs and occupancy detection with IR-UWB sensor

PE Numan, H Park, J Lee, S Kim - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
This article proposes the machine learning (ML)-based joint vital signs (VSs) and occupancy
detection (OD) with an impulse radio ultra-wideband (IR-UWB) sensor. Works that have …

Camera-Based Seismocardiogram for Heart Rate Variability Monitoring

L Liu, D Yu, H Lu, C Shan… - IEEE Journal of Biomedical …, 2024 - ieeexplore.ieee.org
Heart rate variability (HRV) is a crucial metric that quantifies the variation between
consecutive heartbeats, serving as a significant indicator of autonomic nervous system …

Analyzing seismocardiographic approach for heart rate variability measurement

T Choudhary, M Das, LN Sharma… - … Signal Processing and …, 2021 - Elsevier
As a vital risk stratification tool, heart rate variability (HRV) has the ability to provide early
warning signs for many life-threatening diseases. This paper presents a study on reliable …

Robust heart rate monitoring by a single wrist-worn accelerometer based on signal decomposition

C Zhao, W Zeng, D Hu, H Liu - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Monitoring heart rate (HR) by a single wrist-worn accelerometer would provide many
advantages over electrocardiogram (ECG) or photoplethysmography (PPG), such as …

Discrete wavelet transforms-based analysis of accelerometer signals for continuous human cardiac monitoring

H Ferdinando, E Seppälä, T Myllylä - Applied Sciences, 2021 - mdpi.com
Measuring cardiac activity from the chest using an accelerometer is commonly referred to as
seismocardiography. Unfortunately, it cannot provide clinically valid data because it is easily …

Noninvasive accelerometric approach for cuffless continuous blood pressure measurement

M Das, T Choudhary, LN Sharma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Pulse transit time (PTT) has been widely used for cuffless blood pressure (BP)
measurement. However, it requires more than one cardiovascular signal involving more …

Automatic detection of aortic valve events using deep neural networks on cardiac signals from epicardially placed accelerometer

A Wajdan, TS Jahren… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Background: Miniaturized accelerometers incorporated in pacing leads attached to the
myocardium, are used to monitor cardiac function. For this purpose functional indices must …

Adaptive morphological modeling and optimal estimation for dynamic LVET measurement from seismocardiographic signals

S Yu, A Xie, Y Liu, Y Guo, G Wang - Measurement, 2025 - Elsevier
The dynamic left ventricular ejection time (LVET) represents a crucial cardiovascular health
indicator. Seismocardiography (SCG) offers substantial advantages over conventional …