| 基于改进人工蜂群优化支持向量机的睡眠分期 |
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| 引用本文： | 熊馨,吴迪,张亚茹,冯建楠,易三莉,王春武,刘瑞湘,贺建峰.基于改进人工蜂群优化支持向量机的睡眠分期[J].中国医学物理学杂志,2023,0(4):440-447. |
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| 作者姓名： | 熊馨 吴迪 张亚茹 冯建楠 易三莉 王春武 刘瑞湘 贺建峰 |
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| 作者单位： | 1.昆明理工大学信息工程与自动化学院， 云南 昆明 650500； 2.韩山师范学院物理与电子工程学院， 广东 潮州 521000； 3.云南省第二人民医院临床心理科， 云南 昆明 650021 |
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| 基金项目： | 国家自然科学基金（82060329）； |
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| 摘 要： | 本研究提出通过改进人工蜂群算法优化支持向量机（IMABC-SVM）进行睡眠分期。对提取的离散小波变换分解数据分量、时域特征、非线性特征、微状态特征，使用ReliefF算法进行特征筛选，提取出最优特征矩阵，并由IMABC-SVM分类器对特征矩阵进行训练。为验证特征筛选与优化分类器效果，进行相关消融实验。结果表明IMABC-SVM方法精度可达89.97%。IMABC-SVM方法可为睡眠相关疾病的检测、预防和治疗提供有效的依据。
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| 关 键 词： | 睡眠分期 改进人工蜂群算法 支持向量机 ReliefF Lévy飞行 |
Sleep staging using support vector machine optimized by improved artificial bee colony |
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| XIONG Xin,WU Di,ZHANG Yaru,FENG Jiannan,YI Sanli,WANG Chunwu,LIU Ruixiang,HE Jianfeng.Sleep staging using support vector machine optimized by improved artificial bee colony[J].Chinese Journal of Medical Physics,2023,0(4):440-447. |
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| Authors: | XIONG Xin WU Di ZHANG Yaru FENG Jiannan YI Sanli WANG Chunwu LIU Ruixiang HE Jianfeng |
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| Affiliation: | 1. College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China 2. School of Physics and Electronic Engineering, Hanshan Normal University, Chaozhou 521000, China 3. Department of Clinical Psychology, Yunnan Second Peoples Hospital, Kunming 650021, China |
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| Abstract: | A support vector machine (IMABC-SVM) optimized by an improved artificial bee colony algorithm is used to for sleep staging. The data components obtained by discrete wavelet transform, time-domain features, non-linear features and micro-state features are filtered using ReliefF algorithm for obtaining the optimal feature matrix which is then trained by IMABC-SVM classifier. Some ablation experiments are conducted to verify the effectiveness of the feature selection and the optimized classifier. The experimental results show that the accuracy of IMABC-SVM reaches 89.97%. IMABC-SVM can provide a basis for the detection, prevention and treatment of sleep-related disorders. |
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| Keywords: | Keywords: sleep staging improved artificial bee colony algorithm support vector machine ReliefF Lévy flight |
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