# Arrhythmia Classification from ECG Signals Using LSTM Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/arrhythmia-classification-from-ecg-signals-using-lstm-neural-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | David López Cuenca,Ruthber Rodríguez Serrezuela,Andrés Eduardo Rivera Gómez |
| Citations | 1 |
| DOI | 10.1109/amitic68284.2025.11214514 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4415970266 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [David López Cuenca](https://scholariq.org/researchers/david-lopez-cuenca/)

## 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/)
- [Atrial Fibrillation Management and Outcomes](https://scholariq.org/topics/atrial-fibrillation-management-and-outcomes/)
- [Cardiac electrophysiology and arrhythmias](https://scholariq.org/topics/cardiac-electrophysiology-and-arrhythmias/)

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