# Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cardiologist-level-arrhythmia-detection-and-classification-in-ambulatory/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Awni Hannun,Pranav Rajpurkar,Masoumeh Haghpanahi,Geoffrey H. Tison,Codie Bourn,Mintu P. Turakhia,Andrew Y. Ng |
| Citations | 3,037 |
| DOI | 10.1038/s41591-018-0268-3 |
| Fields | Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2902644322 |
| PMID | 30617320 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Mintu P. Turakhia](https://scholariq.org/researchers/mintu-p-turakhia/)

## Paper journal

- [Nature Medicine](https://scholariq.org/journals/nature-medicine/)

## 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 electrophysiology and arrhythmias](https://scholariq.org/topics/cardiac-electrophysiology-and-arrhythmias/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

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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.