Preprocessing data in Deep Learning using Deep Neural Network (DNN) and Python -- 2

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). ----------------------------------------------------------------------------------------------------------------------- Moe Explanation "In the case of my project, I need to discover Sleep Apnea based on one signal of the PSG, which is SpO2 signal. In this case, I need the data to contain records in which the SpO2 signal and in the data sent only 8 subjects with SpO2 signals means only 8 dataset of this database will be used which is not enough for deep learning as we need as much as possible of the datasets!" Conclusion: We need to use a second dataset with these eight records from the Apnea ECG database and I have sent them to you in advance containing SpO2 signals which is the UCD database In the research paper I previously sent, an explanation of the Preprocessing process for both data. And if there is a missing link or a complete lack of understanding of the project exactly, then you can refer to the report that I sent to you previously as it clarified the idea of ​​the project in detail from the introduction and the research problem; also the research paper sent .. And anything you want me to clarify more please ask. (The following data link is on Github with the same title and syntax and I got it earlier when I was looking for topics that helped me and were processed for another project idea using ML and not DL and also for a different idea. (So do not use it)) [login to view URL]