ArticleMicrosystems & nanoengineering2025
A novel wearable device integrating ECG and PCG for cardiac health monitoring.
Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Wearable Electronics for Precision Diagnosis Through Advanced Manufacturing and Integration.Nano-micro letters · 2026Review
- Wearable Flexible Sensors for Cardiovascular Disease Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Multimodal Information Fusion for Control of Rehabilitation Robots in Motor Dysfunction: A Review.Bioengineering (Basel, Switzerland) · 2026Review
- Cardiac activity monitoring for the heart rate classification with enhanced BiLSTM model.Scientific reports · 2026Article
- Wearable devices and cardiovascular health: revolutionizing remote monitoring and disease prevention.European heart journal · 2026Review
- Comparative Performance of Patch-Type and Lead-Type Wearable Electrocardiogram Devices for Arrhythmia Detection in Routine Clinical Practice.Journal of clinical medicine · 2026Article
- Diagnostic performance of wearable acoustic-electrocardiographic indices for screening secundum atrial septal defect in children.Frontiers in pediatrics · 2026Article
- ECG sonification methods for robust and generalizable clinical decision support.NPJ digital medicine · 2025Article
- Recent Advances in China's Wearable Healthcare Sensors for Chronic, Neurodegenerative, and Cardiovascular Care: A Narrative Review.Iranian journal of public health · 2025Review
- A textile-based alignment-free electrophysiological sensing sleeve for comprehensive cardiovascular monitoring.Microsystems & nanoengineering · 2025Article
- A Multimodal System for Comprehensive Cardiovascular Monitoring Using ECG, PCG, and PPG Signal Fusion.Sensors (Basel, Switzerland) · 2025Article
- Review
- Wearable Devices and AI-Driven Remote Monitoring in Cardiovascular Medicine: A Narrative Review.Cureus · 2025Review
- ST Elevation Sonification of a 12-Lead ECG for the Assessment, Diagnosis, and Monitoring of ST Elevation Myocardial Infarction.Sensors (Basel, Switzerland) · 2025Article
- High sensitivity acoustic flow sensing based on bio-inspired web-like structure for panoramic acoustic perception.Microsystems & nanoengineering · 2025Article
- Synchronous Acquisition and Processing of Electro- and Phono-Cardiogram Signals for Accurate Systolic Times' Measurement in Heart Disease Diagnosis and Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Flexible Bioelectrodes-Integrated Miniaturized System for Unconstrained ECG Monitoring.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The alarming prevalence and mortality rates associated with cardiovascular diseases have emphasized the urgency for innovative detection solutions. Traditional methods, often costly, bulky, and prone to subjectivity, fall short of meeting the need for daily monitoring. Digital and portable wearable monitoring devices have emerged as a promising research frontier. This study introduces a wearable system that integrates electrocardiogram (ECG) and phonocardiogram (PCG) detection. By ingeniously pairing a contact-type PZT heart sound sensing structure with ECG electrodes, the system achieves the acquisition of high-quality ECG and PCG signals. Notably, the signal-to-noise ratios (SNR) for ECG and PCG signals were measured at 44.13 dB and 30.04 dB, respectively, demonstrating the system's remarkable stability across varying conditions. These collected signals were subsequently utilized to derive crucial feature values, including electromechanical delay (EMD), left ventricular ejection time (LVET), and pre-ejection period (PEP). Furthermore, we collected a dataset comprising 40 cases of ECG and PCG signals, enabling a comparative analysis of these three feature parameters between healthy individuals and coronary heart disease patients. This research endeavor presents a significant step forward in the realm of early, non-invasive, and intelligent monitoring of cardiovascular diseases, offering hope for earlier detection and more effective management of these life-threatening conditions.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.