An AI recognition method for children's clinical operative pain by skin potential (SP) signal

An AI recognition method for children's clinical operative pain by skin potential (SP) signal

Objective and rationale: Children's clinical pain phenotypes are complex, and there is a lack of objective biological diagnostic markers and cognitive patterns. Detecting physiological signals through wearable devices simplifies disease diagnosis and holds the potential for remote medical appli...

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Bibliographic Details
Main Authors: Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Wavelet transform (WT)
Random forest (RF) algorithm
Skin potential (SP) signals
Pain recognition
Machine learning (ML)
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024175895
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