A LOW-NOISE ECG SIGNAL ACQUISITION AND CLASSIFICATION PLATFORM FOR CARDIOVASCULAR MONITORING APPLICATIONS

The detection of cardiovascular diseases (CVDs) through signal processing has seen significant advancements, leveraging various modalities such as electrocardiogram (ECG), photoplethysmography (PPG), and phonocardiogram (PCG) signals. These signals provide critical insights into heart function and are analyzed using sophisticated algorithms to identify abnormalities. This section explores the technical means and algorithms employed in processing these signals, highlighting their effectiveness and limitations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-15
DOI
https://doi.org/10.5281/zenodo.15928633
Primary Topic
Phonocardiography and Auscultation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

A LOW-NOISE ECG SIGNAL ACQUISITION AND CLASSIFICATION PLATFORM FOR CARDIOVASCULAR MONITORING APPLICATIONS

Zenodo (CERN European Organization for Nuclear Research)
Phonocardiography and Auscultation Techniques
article

A LOW-NOISE ECG SIGNAL ACQUISITION AND CLASSIFICATION PLATFORM FOR CARDIOVASCULAR MONITORING APPLICATIONS

article en

Abstract

The detection of cardiovascular diseases (CVDs) through signal processing has seen significant advancements, leveraging various modalities such as electrocardiogram (ECG), photoplethysmography (PPG), and phonocardiogram (PCG) signals. These signals provide critical insights into heart function and are analyzed using sophisticated algorithms to identify abnormalities. This section explores the technical means and algorithms employed in processing these signals, highlighting their effectiveness and limitations.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
Phonocardiography and Auscultation Techniques
DOIOpen Access PDFOpenAlex
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A LOW-NOISE ECG SIGNAL ACQUISITION AND CLASSIFICATION PLATFORM FOR CARDIOVASCULAR MONITORING APPLICATIONS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS