Simple and Fast neural network for sleep apnea detection
run
python MobileNetV3.py
after using the required function from the MobileNetV3 python file which includes:
CNN+ELU
underdefine_model()
MobileNetV3Small+H_Swish
MobileNetV3Small+H_Swish
MobileNetV3Large+GELU
MobileNetV3Large+GELU
The above requires you to have X.npy
and Y.py
which are the training data after fetching the data from MIT-BIH followed by converting .st
files to .csv
files and followed by reading each file and adding them to respective numpy files.