Translate EHG signal into Toco like waveform and extract features from the signal using the Public benchmark dataset

The purpose of this project to translate EHG signal into Toco like waveform using the public benchmark dataset. Two dataset will be provided which are online available easily. Each individual signal has 16 channels data. We need to analyze first which channel has less contaminated data and easy to translated .

After the successful translation of EHG signal into Toco like waveform the performance of the proposed algorithm being analyzed , to extract the key features from the TOCO-like waveforms such as intensity, duration, and interval time between adjacent UCs will be compared to those from the reference TOCO.)

It is requested to you please consider the user interface when developing the algorithms. Have a look at the Monica devices as an example: 6960-MON Novii Intrapartum Maternal/Fetal monitor Pod User Manual 100-TF-056 rev1 UC Guide GE Healthcare (fccid.io).This project will help to facilitate the clinical acceptance for EHG adoption into maternal monitoring practice;