Deep Neural Network (DNN) and Python

The project briefly, is about using Deep Neural Network (DNN) to detect sleep apnea and then classify the severity of this syndrome depending on one of the polysomnography (PSG) signals, which is the SpO2 in order to reduce the cost of diagnosis using the standard method. (Using Python language). The idea is nearly same like the one in the attached file. spo2 based sleep apnea detection using DL -------------- The needed data source:- Apnea System: *Apnea-ECG Database* [login to view URL] *St. Vincent's University Hospital / University College Dublin Sleep Apnea Database* [login to view URL] Here is a discussion of how to use the data:- [login to view URL] [login to view URL] ------------------------------------------------------------------ we will use two groups of data and we will make preprocessing for each upon the project idea. This paper used same data, we can make use of it spo2 based sleep apnea detection using DL --------------------------- - I already made a description of the project with a detailed report but (the methodology is not accurate enough and independable so it can be changed upon you see is best for the project idea) - I also have a code for a project similar to my idea --------------- The needed as follows:- - The proper data. - The Methodology + Implementation + Results + Discussion. - The full code (or modifying mine).