Investigating cardiorespiratory interaction using ballistocardiography and seismocardiography—a narrative review

P Balali, J Rabineau, A Hossein, C Tordeur, O Debeir… - Sensors, 2022 - mdpi.com
Ballistocardiography (BCG) and seismocardiography (SCG) are non-invasive techniques
used to record the micromovements induced by cardiovascular activity at the body's center …

Remote sensing of vital signs by medical radar time-series signal using cardiac peak extraction and adaptive peak detection algorithm: Performance validation on …

K Edanami, M Kurosawa, HT Yen, T Kanazawa… - Computer Methods and …, 2022 - Elsevier
Background and objective Continuous monitoring of vital signs plays a pivotal role in
neonatal intensive care units (NICUs). In this paper, we present a system for monitoring fully …

Application of mechanical trigger for unobtrusive detection of respiratory disorders from body recoil micro-movements

D Cimr, F Studnicka, H Fujita, R Cimler… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objectives Automatic detection of breathing disorders plays an
important role in the early signalization of respiratory diseases. Measuring methods can be …

Computer aided detection of breathing disorder from ballistocardiography signal using convolutional neural network

D Cimr, F Studnicka, H Fujita, H Tomaskova… - Information …, 2020 - Elsevier
Sleep-related breathing disorders are diseases related to pharyngeal airway collapse. It can
lead to several health problems such as somnolence, poorer daytime cognitive …

Accurate heartbeat detection on ballistocardiogram accelerometric traces

N Mora, F Cocconcelli, G Matrella… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article presents an automated procedure for acquisition and analysis of
BallistoCardioGraphy (BCG) traces. A triaxial accelerometer and a microcontroller unit are …

Automatic detection of breathing disorder from ballistocardiography signals

D Cimr, F Studnička - Knowledge-Based Systems, 2020 - Elsevier
Ballistocardiography (BCG) is a common method, wherein sensory information is used to
identify blood-flow cardiac activity by measuring the mechanical micromovements of the …

Non-contact estimation of cardiac inter-beat interval and heart rate variability using time-frequency domain analysis for cw radar

HT Yen, M Kurosawa, T Kirimoto… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Vital signs are objective indices of health status. Heart rate variability (HRV) is the
physiological phenomenon of variation in interval between consecutive heartbeats, which …

Performance comparison for ballistocardiogram peak detection methods

A Suliman, C Carlson, CJ Ade, S Warren… - Ieee …, 2019 - ieeexplore.ieee.org
A number of research groups have proposed methods for ballistocardiogram (BCG) peak
detection toward the identification of individual cardiac cycles. However, objective …

An elastic manifold learning approach to beat-to-beat interval estimation with ballistocardiography signals

G Shen, R Ding, M Yang, D Han, B Zhang - Advanced Engineering …, 2020 - Elsevier
Continuous monitoring of heart rate variation is an important measure to diagnose
cardiovascular problems and reduce related morbidity and mortality. The recent advances in …

Multimodal chest surface motion data for respiratory and cardiovascular monitoring applications

G Shafiq, KC Veluvolu - Scientific data, 2017 - nature.com
Chest surface motion is of significant importance as it contains information of respiratory and
cardiac systems together with the complex coupling between these two systems. Chest …