Sleep stage classification using deep learning
Budget: $30 – $250 USD
I have PSG sleep data files in which for each 30 seconds (EEG and ECG channels) are recorded
The other file has annotated sleep stage every 30 seconds (Wake, Stage 1, Stage 2, Stage 3)
I used random forest and SVM to predict annotated sleep stage in a given time using one feature ECG, however, accuracy is low. i'm looking for deep learning approach such as (LSTM-CNN, NN, Time series analysis) to achieve higher accuracy
https://github.com/swayanshu/Sleep-Stage-Classification
its similar to this project
The other file has annotated sleep stage every 30 seconds (Wake, Stage 1, Stage 2, Stage 3)
I used random forest and SVM to predict annotated sleep stage in a given time using one feature ECG, however, accuracy is low. i'm looking for deep learning approach such as (LSTM-CNN, NN, Time series analysis) to achieve higher accuracy
https://github.com/swayanshu/Sleep-Stage-Classification
its similar to this project