https://github.com/mathworks/deep-learning-for-time-series-data

The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/
https://github.com/mathworks/deep-learning-for-time-series-data

Last synced: 4 months ago
JSON representation

The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/

• Host: GitHub
• URL: https://github.com/mathworks/deep-learning-for-time-series-data
• Owner: mathworks
• License: other
• Created: 2020-09-17T06:30:47.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-11-23T06:21:25.000Z (over 4 years ago)
• Last Synced: 2025-01-03T11:12:04.445Z (6 months ago)
• Size: 2.6 MB
• Stars: 17
• Watchers: 3
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: license.txt
  • Security: SECURITY.md

Awesome Lists containing this project

README

        
# deep-learning-for-time-series-data

 The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/

 

# Folder structure:

ECGDeepLearningWithCWT_cn.mlx: ECG Classification with Continuous Wavelet Transform;

ECGWaveletScatteringWithLSTMs_cn.mlx: ECG Classification using Wavelet Scattering and LSTMs;

PrepareSignalData_cn.mlx: Prepare Signal Data for ECG Classification with Continuous Wavelet Transform;

training.mp4: the video shows the training process of ECG Classification with Continuous Wavelet Transform.

# The video series (in Chinese) on this topic can be found as follows:

https://www.mathworks.com/videos/series/deep-learning-for-time-series-data.html