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计算机系统应用:2020,29(2):9-27
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疼痛自动识别综述
(北京科技大学 计算机与通信工程学院, 北京 100083)
Review of Automatic Pain Recognition
(School of Computer and Communication Engineering, University of Science & Technology Beijing, Beijing 100083, China)
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投稿时间:2019-07-06    修订日期:2019-07-23
中文摘要: 疼痛是一种个人经历,一般被分为急性疼痛和慢性疼痛,可来源于受伤、疾病、手术或其他的健康问题.如果疼痛没有被及时治疗,会对患者的身心健康带来极大的伤害.由于患者自身障碍等问题,患者可能无法自我报告疼痛,而专业人士评估无法保证连续性和客观性.因此,对疼痛自动识别系统的需求日益加大,近十年来,很多研究人员在此领域取得突破性的成果,本文对疼痛自动识别系统进行综述,一方面从疼痛自动识别系统的结构组成方面进行描述,主要包括数据获取、数据预处理、特征提取以及分类等;另一方面从疼痛模态表征多角度进行技术汇总,主要包括行为、语音、生理以及多模态融合等4个方面.本文论述疼痛自动识别系统中的关键技术,并加以对比分析总结出该领域发展的一些挑战和方向.
中文关键词: 疼痛  分类器  数据库  特征提取  特征选择
Abstract:Pain is a personal experience that is generally divided into acute pain and chronic pain, which can result from injury, illness, surgery, or other health problems. If pain is not treated in time, it will cause great harm to the patient's physical and psychological health. Not all patients, e.g. dementia, are able to self-report pain. The continuity and objectivity of the assessment cannot be guaranteed when medical care personnel assessing patient's pain. Therefore, the demand for automatic pain recognition system is increasing. In the past decade, many researchers have made breakthroughs in this area. This paper reviews the automatic pain recognition system. On the one hand, it describes the structural composition of the automatic pain recognition system, including data acquisition, data preprocessing, feature extraction, and classification. On the other hand, it summarizes a great number of techniques from pain modal representation, i.e. behavior, speech, physiology, and multi-modal fusion. This paper also discusses the key technologies in automatic pain recognition system, and analyzes several challenges and directions in the field.
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基金项目:国家自然科学基金面上项目(61673052);国家重点研发计划(2017YFD0400100);中央高校基本科研业务费专项资金(2302018FRF-TP-18-014A2);国家留学基金委(201606465015)
引用文本:
支瑞聪,周才霞.疼痛自动识别综述.计算机系统应用,2020,29(2):9-27
ZHI Rui-Cong,ZHOU Cai-Xia.Review of Automatic Pain Recognition.COMPUTER SYSTEMS APPLICATIONS,2020,29(2):9-27

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