# Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/interpretable-deep-learning-models-for-arrhythmia-classification-based-on-ecg/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ahmed E. Mansour Atwa,El-Sayed Atlam,Ali Ahmed,Mohamed Ahmed Atwa,Elsaid Md. Abdelrahim,Ali I. Siam |
| Citations | 24 |
| DOI | 10.3390/diagnostics15151950 |
| Fields | Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2075-4418/15/15/1950/pdf?version=1754296826 |
| OpenAlex ID | https://openalex.org/W4412891505 |
| PMID | 40804914 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Elsaid Md. Abdelrahim](https://scholariq.org/researchers/elsaid-md-abdelrahim/)

## Paper journal

- [Diagnostics](https://scholariq.org/journals/diagnostics/)

## 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/)
- [Cardiac electrophysiology and arrhythmias](https://scholariq.org/topics/cardiac-electrophysiology-and-arrhythmias/)

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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.