# fernandoandreotti/cinc-challenge2017

<https://repo.masters-masters.com/en/repos/fernandoandreotti/cinc-challenge2017>

[Home](https://repo.masters-masters.com/en) › [fernandoandreotti](https://repo.masters-masters.com/en/owners/fernandoandreotti) › [cinc-challenge2017](https://repo.masters-masters.com/en/repos/fernandoandreotti/cinc-challenge2017)

fernandoandreotti/cinc-challenge2017 has 159 stars on GitHub. Its RepoMasters card: Prototype tier. ECG classification from short single lead segments…

| Field | Value |
| --- | --- |
| Owner | [fernandoandreotti](https://repo.masters-masters.com/en/owners/fernandoandreotti) |
| Stars | 159 |
| Forks | 72 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | GPL-3.0 |
| Created | 2017 |
| Topics | challenge, convolutional-neural-networks, cardiology, classification, ecg, physionet, deep-convolutional-networks, arrhythmia |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [fernandoandreotti/cinc-challenge2017](https://github.com/fernandoandreotti/cinc-challenge2017) |

## Repository

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.