Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal

Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal

Automatic pain intensity assessment from physiological signals has become an appealing approach, but it remains a largely unexplored research topic. Most studies have used machine learning approaches built on carefully designed features based on the domain knowledge available in the literature on th...

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Bibliographic Details
Main Authors: Fatemeh Pouromran, Yingzi Lin, Sagar Kamarthi
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
pain intensity classification
recurrent neural networks
machine learning
deep learning
EDA signal
Online Access:https://www.mdpi.com/1424-8220/22/21/8087

Internet

https://www.mdpi.com/1424-8220/22/21/8087

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