Fergus, P., Cheung, P., Hussain, A., Al-Jumeily, D., Dobbins, C., Iram, S.: Prediction of preterm deliveries from ehg signals using machine learning. #1

GillesVandewiele · 2019-10-08T07:41:59Z

Root Mean Squares
Peak Frequency
Median Frequency
Sample Entropy

--> Should be provided with the original data (so no work here)

GillesVandewiele created this issue from a note in Feature Reproduction (To do) Oct 8, 2019

GillesVandewiele mentioned this issue Oct 8, 2019

Smrdel, A., Jager, F.: Separating sets of term and pre-term uterine emg records. #3

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GillesVandewiele self-assigned this Oct 20, 2019

GillesVandewiele mentioned this issue Dec 9, 2019

A comparison of various linear and non-linear signal processing techniques to separate uterine EMG records of term and pre-term delivery groups #14

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GillesVandewiele added done to_check labels Dec 9, 2019

GillesVandewiele closed this as completed Jan 2, 2020

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Fergus, P., Cheung, P., Hussain, A., Al-Jumeily, D., Dobbins, C., Iram, S.: Prediction of preterm deliveries from ehg signals using machine learning. #1

Fergus, P., Cheung, P., Hussain, A., Al-Jumeily, D., Dobbins, C., Iram, S.: Prediction of preterm deliveries from ehg signals using machine learning. #1

GillesVandewiele commented Oct 8, 2019 •

edited

Fergus, P., Cheung, P., Hussain, A., Al-Jumeily, D., Dobbins, C., Iram, S.: Prediction of preterm deliveries from ehg signals using machine learning. #1

Fergus, P., Cheung, P., Hussain, A., Al-Jumeily, D., Dobbins, C., Iram, S.: Prediction of preterm deliveries from ehg signals using machine learning. #1

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GillesVandewiele commented Oct 8, 2019 • edited

GillesVandewiele commented Oct 8, 2019 •

edited