现代电子技术2016，Vol.39Issue(23)：58-62,5.DOI:10.16652/j.issn.1004-373x.2016.23.015
HHT和HMM在血细胞信号识别中的应用
Application of HHT and HMM in blood cell signal recognition
摘要
Abstract
For the multi⁃form,nonlinear and non⁃stationary characteristics of the blood cell signal,the blood cell signal re⁃cognition method based on Hilbert Huang transform(HHT)and hidden Markov model(HMM)is proposed. The HHT is used in the method to analyze the blood cell signal. The strong dependency components in each intrinsic mode function obtained with empiri⁃cal mode decomposition are selected,and their energy moments are taken as the signal feature value to achieve the model parame⁃ters of healthy people and patient by HMM training for classification and recognition. The experimental results indicate this method can recognize the blood cells signals of the healthy people and patient,and the synthetical accuracy rate can reach up to 89.13%.关键词
信号检测与分析/希尔伯特黄变换/经验模态分解/隐马尔科夫模型/特征提取/血细胞信号分析Key words
signal detection and analysis/Hilbert Huang transform/empirical mode decomposition/hidden Markov mo-del/feature extraction/blood cell signal analysis分类
信息技术与安全科学引用本文复制引用
尹璀,陶凌,龙伟..HHT和HMM在血细胞信号识别中的应用[J].现代电子技术,2016,39(23):58-62,5.基金项目
国家自然科学基金项目 （）
