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Li Y, He J, Fu C, Jiang K, Cao J, Wei B, Wang X, Luo J, Xu W, Zhu J. Children's Pain Identification Based on Skin Potential Signal. Sensors (Basel) 2023; 23:6815. [PMID: 37571601 PMCID: PMC10422611 DOI: 10.3390/s23156815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 07/24/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023]
Abstract
Pain management is a crucial concern in medicine, particularly in the case of children who may struggle to effectively communicate their pain. Despite the longstanding reliance on various assessment scales by medical professionals, these tools have shown limitations and subjectivity. In this paper, we present a pain assessment scheme based on skin potential signals, aiming to convert subjective pain into objective indicators for pain identification using machine learning methods. We have designed and implemented a portable non-invasive measurement device to measure skin potential signals and conducted experiments involving 623 subjects. From the experimental data, we selected 358 valid records, which were then divided into 218 silent samples and 262 pain samples. A total of 38 features were extracted from each sample, with seven features displaying superior performance in pain identification. Employing three classification algorithms, we found that the random forest algorithm achieved the highest accuracy, reaching 70.63%. While this identification rate shows promise for clinical applications, it is important to note that our results differ from state-of-the-art research, which achieved a recognition rate of 81.5%. This discrepancy arises from the fact that our pain stimuli were induced by clinical operations, making it challenging to precisely control the stimulus intensity when compared to electrical or thermal stimuli. Despite this limitation, our pain assessment scheme demonstrates significant potential in providing objective pain identification in clinical settings. Further research and refinement of the proposed approach may lead to even more accurate and reliable pain management techniques in the future.
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Affiliation(s)
- Yubo Li
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.H.); (K.J.); (J.C.); (X.W.); (J.L.)
- International Joint Innovation Center, Zhejiang University, Haining 314400, China
| | - Jiadong He
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.H.); (K.J.); (J.C.); (X.W.); (J.L.)
| | - Cangcang Fu
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China; (C.F.); (W.X.)
| | - Ke Jiang
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.H.); (K.J.); (J.C.); (X.W.); (J.L.)
| | - Junjie Cao
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.H.); (K.J.); (J.C.); (X.W.); (J.L.)
| | - Bing Wei
- Polytechnic Institute of Zhejiang University, Hangzhou 310015, China;
| | - Xiaozhi Wang
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.H.); (K.J.); (J.C.); (X.W.); (J.L.)
- International Joint Innovation Center, Zhejiang University, Haining 314400, China
| | - Jikui Luo
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.H.); (K.J.); (J.C.); (X.W.); (J.L.)
- International Joint Innovation Center, Zhejiang University, Haining 314400, China
| | - Weize Xu
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China; (C.F.); (W.X.)
- National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Jihua Zhu
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.H.); (K.J.); (J.C.); (X.W.); (J.L.)
- Children’s Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China; (C.F.); (W.X.)
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