# ECG Monitoring and Analysis

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/ecg-monitoring-and-analysis/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the analysis, classification, and processing of electrocardiogram (ECG) signals for applications such as arrhythmia detection, cardiac health diagnosis, and physiological monitoring. The papers cover topics including deep learning, wavelet transform, signal quality assessment, noise reduction, and real-time ECG monitoring for telemedicine. |
| Domain | Health Sciences |
| Field | Medicine |
| OpenAlex ID | t11021 |
| Works | 177 |

## Topic papers all

Showing 15 of 177.

- [Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network](https://scholariq.org/papers/cardiologist-level-arrhythmia-detection-and-classification-in-ambulatory/)
- [Results of the Predictors of Response to CRT (PROSPECT) Trial](https://scholariq.org/papers/results-of-the-predictors-of-response-to-crt-prospect-trial/)
- [Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation](https://scholariq.org/papers/large-scale-assessment-of-a-smartwatch-to-identify-atrial-fibrillation/)
- [Sudden Cardiac Arrest Associated with Early Repolarization](https://scholariq.org/papers/sudden-cardiac-arrest-associated-with-early-repolarization/)
- [Reduction in Inappropriate Therapy and Mortality through ICD Programming](https://scholariq.org/papers/reduction-in-inappropriate-therapy-and-mortality-through-icd-programming/)
- [Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram](https://scholariq.org/papers/screening-for-cardiac-contractile-dysfunction-using-an-artificial-intelligence/)
- [Fully Automated Echocardiogram Interpretation in Clinical Practice](https://scholariq.org/papers/fully-automated-echocardiogram-interpretation-in-clinical-practice/)
- [Effectiveness of Cardiac Resynchronization Therapy by QRS Morphology in the Multicenter Automatic Defibrillator Implantation Trial–Cardiac Resynchronization Therapy (MADIT-CRT)](https://scholariq.org/papers/effectiveness-of-cardiac-resynchronization-therapy-by-qrs-morphology-in-the/)
- [Smart wearable devices in cardiovascular care: where we are and how to move forward](https://scholariq.org/papers/smart-wearable-devices-in-cardiovascular-care-where-we-are-and-how-to-move/)
- [An open access database for the evaluation of heart sound algorithms](https://scholariq.org/papers/an-open-access-database-for-the-evaluation-of-heart-sound-algorithms/)
- [Arrhythmias documented by 24 hour continuous electrocardiographic monitoring in 50 male medical students without apparent heart disease](https://scholariq.org/papers/arrhythmias-documented-by-24-hour-continuous-electrocardiographic-monitoring-in/)
- [A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms](https://scholariq.org/papers/a-hybrid-intelligent-system-framework-for-the-prediction-of-heart-disease-using/)
- [A patient-adaptable ECG beat classifier using a mixture of experts approach](https://scholariq.org/papers/a-patient-adaptable-ecg-beat-classifier-using-a-mixture-of-experts-approach/)
- [Effect of a Home-Based Wearable Continuous ECG Monitoring Patch on Detection of Undiagnosed Atrial Fibrillation](https://scholariq.org/papers/effect-of-a-home-based-wearable-continuous-ecg-monitoring-patch-on-detection-of/)
- [Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study](https://scholariq.org/papers/rationale-and-design-of-a-large-scale-app-based-study-to-identify-cardiac/)

## Topic primary papers

Showing 15 of 70.

- [Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network](https://scholariq.org/papers/cardiologist-level-arrhythmia-detection-and-classification-in-ambulatory/)
- [Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram](https://scholariq.org/papers/screening-for-cardiac-contractile-dysfunction-using-an-artificial-intelligence/)
- [Smart wearable devices in cardiovascular care: where we are and how to move forward](https://scholariq.org/papers/smart-wearable-devices-in-cardiovascular-care-where-we-are-and-how-to-move/)
- [Arrhythmias documented by 24 hour continuous electrocardiographic monitoring in 50 male medical students without apparent heart disease](https://scholariq.org/papers/arrhythmias-documented-by-24-hour-continuous-electrocardiographic-monitoring-in/)
- [A patient-adaptable ECG beat classifier using a mixture of experts approach](https://scholariq.org/papers/a-patient-adaptable-ecg-beat-classifier-using-a-mixture-of-experts-approach/)
- [Advances in Cardiac Signal Processing](https://scholariq.org/papers/advances-in-cardiac-signal-processing/)
- [One-lead ECG for identity verification](https://scholariq.org/papers/one-lead-ecg-for-identity-verification/)
- [Applications of artificial neural networks for ECG signal detection and classification.](https://scholariq.org/papers/applications-of-artificial-neural-networks-for-ecg-signal-detection-and/)
- [Deep learning and the electrocardiogram: review of the current state-of-the-art](https://scholariq.org/papers/deep-learning-and-the-electrocardiogram-review-of-the-current-state-of-the-art/)
- [Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning](https://scholariq.org/papers/transfer-learning-for-sentiment-analysis-using-bert-based-supervised-fine-tuning/)
- [An efficient algorithm of ECG signal denoising using the adaptive dual threshold filter and the discrete wavelet transform](https://scholariq.org/papers/an-efficient-algorithm-of-ecg-signal-denoising-using-the-adaptive-dual-threshold/)
- [A Low-Complexity ECG Feature Extraction Algorithm for Mobile Healthcare Applications](https://scholariq.org/papers/a-low-complexity-ecg-feature-extraction-algorithm-for-mobile-healthcare/)
- [An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation](https://scholariq.org/papers/an-intelligent-telecardiology-system-using-a-wearable-and-wireless-ecg-to-detect/)
- [High-Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal](https://scholariq.org/papers/high-performance-personalized-heartbeat-classification-model-for-long-term-ecg/)
- [An intelligent learning approach for improving ECG signal classification and arrhythmia analysis](https://scholariq.org/papers/an-intelligent-learning-approach-for-improving-ecg-signal-classification-and/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.