https://github.com/nicolebrimmer/senior-thesis

Predicts heart attacks by applying deep learning to ECG signals
https://github.com/nicolebrimmer/senior-thesis

bioinformatics deep-learning lstm machine-learning

Last synced: about 1 year ago
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Predicts heart attacks by applying deep learning to ECG signals

• Host: GitHub
• URL: https://github.com/nicolebrimmer/senior-thesis
• Owner: nicolebrimmer
• Created: 2018-01-19T06:36:25.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-02-22T23:05:31.000Z (over 8 years ago)
• Last Synced: 2024-11-07T20:41:48.333Z (over 1 year ago)
• Topics: bioinformatics, deep-learning, lstm, machine-learning
• Language: Python
• Homepage:
• Size: 280 KB
• Stars: 16
• Watchers: 0
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-ai-cardiology - nicolebrimmer/senior-thesis - Predicting Ventricular Tachycardia Using LSTMs and ECG Signals (Code / Repositories)

README

          
Predicting Ventricular Tachycardia Using LSTMs and ECG Signals

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Nicole Brimmer's senior thesis on applying deep learning to ECG signals to predict heart attacks