/Synthetic-data-methods-applied-to-sleep-stage-analysis

Sleep apnea: A disease marked by abnormal breathing during sleep. Sleep EEG and ECG data is not easy to obtain, and there are a lot of artefacts. Synthetic data - Solve the lack of Sleep EEG and ECG data. - Working with synthetic data will not decrease classification performance of sleep staging, and could improve classification performance. - For practical studies when the sample size is small

Primary LanguageMATLAB

Synthetic-data-methods-applied-to-sleep-stage-analysis

Sleep apnea: A disease marked by abnormal breathing during sleep. Sleep EEG and ECG data is not easy to obtain, and there are a lot of artefacts. Synthetic data - Solve the lack of Sleep EEG and ECG data.

  • Working with synthetic data will not decrease classification performance of sleep staging, and could improve classification performance.
  • For practical studies when the sample size is small

pre-processing

pre-processing.m

generate synthetic data

  • Adding Gaussian noise noise.m
  • Using surrogates surrogate.m

test

test.m