# Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mixed-convolutional-and-long-short-term-memory-network-for-the-detection-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Artzai Picón,Unai Irusta,Aitor Álvarez-Gila,Elisabete Aramendi,Felipe Alonso‐Atienza,Carlos Figuera,Unai Ayala,Estíbaliz Garrote,Lars Wik,Jo Kramer‐Johansen,Trygve Eftestøl |
| Citations | 66 |
| DOI | 10.1371/journal.pone.0216756 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1371/journal.pone.0216756 |
| OpenAlex ID | https://openalex.org/W2944905766 |
| PMID | 31107876 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Unai Irusta](https://scholariq.org/researchers/unai-irusta/)
- [Aitor Álvarez-Gila](https://scholariq.org/researchers/aitor-alvarez-gila/)

## Paper journal

- [PLoS ONE](https://scholariq.org/journals/plos-one/)

## 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/)
- [Cardiac Arrest and Resuscitation](https://scholariq.org/topics/cardiac-arrest-and-resuscitation/)
- [Healthcare Technology and Patient Monitoring](https://scholariq.org/topics/healthcare-technology-and-patient-monitoring/)

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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.