# Analysis of ECG-based arrhythmia detection system using machine learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/analysis-of-ecg-based-arrhythmia-detection-system-using-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shikha Dhyani,Adesh Kumar,Sushabhan Choudhury |
| Citations | 69 |
| DOI | 10.1016/j.mex.2023.102195 |
| Fields | Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | http://methods-x.com/article/S2215016123001954/pdf |
| OpenAlex ID | https://openalex.org/W4366526158 |
| PMID | 37152670 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Sushabhan Choudhury](https://scholariq.org/researchers/sushabhan-choudhury/)

## Paper primary topic

- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)

## Paper topics

- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Heart Rate Variability and Autonomic Control](https://scholariq.org/topics/heart-rate-variability-and-autonomic-control/)

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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.