ArticleFrontiers in physiology2021
A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds.
Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 50 citations in OpenAlex.
- Clinical Readiness of Hemodynamic Estimation from Cardiac Vibration Signals: An Endpoint-Specific Critical Review.Annals of biomedical engineering · 2026Review
- Monitoring of respiration and cardiorespiratory interactions from multichannel seismocardiography signals.Physical and engineering sciences in medicine · 2026Article
- A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals.Scientific data · 2025Article
- Fully automated template matching method for ECG-free heartbeat detection in cardiomechanical signals of healthy and pathological subjects.Physical and engineering sciences in medicine · 2025Article
- A Flexible PVDF Sensor for Forcecardiography.Sensors (Basel, Switzerland) · 2025Article
- Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor Data.Sensors (Basel, Switzerland) · 2024Article
- Cardiac Multi-Frequency Vibration Signal Sensor Module and Feature Extraction Method Based on Vibration Modeling.Sensors (Basel, Switzerland) · 2024Article
- Accurate Localization of First and Second Heart Sounds via Template Matching in Forcecardiography Signals.Sensors (Basel, Switzerland) · 2024Article
- ECG-Free Heartbeat Detection in Seismocardiography and Gyrocardiography Signals Provides Acceptable Heart Rate Variability Indices in Healthy and Pathological Subjects.Sensors (Basel, Switzerland) · 2023Article
- Heartbeat Detection in Gyrocardiography Signals without Concurrent ECG Tracings.Sensors (Basel, Switzerland) · 2023Article
- A smart approach to EMG envelope extraction and powerful denoising for human-machine interfaces.Scientific reports · 2023Article
- ECG-Free Heartbeat Detection in Seismocardiography Signals via Template Matching.Sensors (Basel, Switzerland) · 2023Article
- Soft Electronics for Health Monitoring Assisted by Machine Learning.Nano-micro letters · 2023Review
- Design and Fabrication of an Integrated Hollow Concave Cilium MEMS Cardiac Sound Sensor.Micromachines · 2022Article
- Changes in Forcecardiography Heartbeat Morphology Induced by Cardio-Respiratory Interactions.Sensors (Basel, Switzerland) · 2022Article
- Multimodal Finger Pulse Wave Sensing: Comparison of Forcecardiography and Photoplethysmography Sensors.Sensors (Basel, Switzerland) · 2022Article
- Respiratory-Induced Amplitude Modulation of Forcecardiography Signals.Bioengineering (Basel, Switzerland) · 2022Article
- Development of an Electronic Stethoscope and a Classification Algorithm for Cardiopulmonary Sounds.Sensors (Basel, Switzerland) · 2022Article
- An accelerometer-derived ballistocardiogram method for detecting heart rate in free-ranging marine mammals.The Journal of experimental biology · 2022Article
- A Comparison of Heart Pulsations Provided by Forcecardiography and Double Integration of Seismocardiogram.Bioengineering (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The precordial mechanical vibrations generated by cardiac contractions have a rich frequency spectrum. While the lowest frequencies can be palpated, the higher infrasonic frequencies are usually captured by the seismocardiogram (SCG) signal and the audible ones correspond to heart sounds. Forcecardiography (FCG) is a non-invasive technique that measures these vibrations via force sensing resistors (FSR). This study presents a new piezoelectric sensor able to record all heart vibrations simultaneously, as well as a respiration signal. The new sensor was compared to the FSR-based one to assess its suitability for FCG. An electrocardiogram (ECG) lead and a signal from an electro-resistive respiration band (ERB) were synchronously acquired as references on six healthy volunteers (4 males, 2 females) at rest. The raw signals from the piezoelectric and the FSR-based sensors turned out to be very similar. The raw signals were divided into four components: Forcerespirogram (FRG), Low-Frequency FCG (LF-FCG), High-Frequency FCG (HF-FCG) and heart sounds (HS-FCG). A beat-by-beat comparison of FCG and ECG signals was carried out by means of regression, correlation and Bland-Altman analyses, and similarly for respiration signals (FRG and ERB). The results showed that the infrasonic FCG components are strongly related to the cardiac cycle (
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