多模态疼痛评估的研究进展
Research Progress in Multimodal Pain Assessment
DOI: 10.12677/acm.2024.1472020, PDF,   
作者: 李 珊：西安医学院研究生工作部，陕西 西安；吴庭豪, 邓南利：空军军医大学第一附属医院麻醉与围术期医学科，陕西 西安；苏斌虓*：空军军医大学第一附属医院重症医学科，陕西 西安
关键词: 多模态；疼痛评估；数据融合；Multimodal； Pain Assessment； Data Fusion
摘要: 阐述多模态数据融合的概念，描述当前多模态(行为及生理模态)数据融合在疼痛评估技术中的应用，提出多模态数据融合可使疼痛评估更高效、准确，未来的多模态智能疼痛识别技术在成熟的基础上应丰富不同疼痛类型识别的算法，抓住疼痛的共性反应，并在疾病发生中检验疼痛对病情进展的预警价值。
Abstract: This paper describes the concept of multi-modal data fusion, describes the current application of multi-modal data fusion (behavioral and physiological modes) in pain assessment technology, and proposes that multi-modal data fusion can make pain assessment more efficient and accurate. The future multi-modal intelligent pain recognition technology should enrich different pain type recognition algorithms on the basis of maturity, and seize the common reaction of pain. The early warning value of pain to disease progression was examined during the occurrence of disease. In addition, nursing staff should cross-collaborate with big data researchers and complement their resources to enhance the clinical practicability of the research and solve the difficulties in clinical pain assessment.
文章引用：李珊, 吴庭豪, 邓南利, 苏斌虓. 多模态疼痛评估的研究进展[J]. 临床医学进展, 2024, 14(7): 342-347. https://doi.org/10.12677/acm.2024.1472020

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