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基于 LabVIEW2011 对心音信号 CWT 滤波的实现
引用本文:戴飞,辛迈,邢研杰,周建,董昂,杨亚琴. 基于 LabVIEW2011 对心音信号 CWT 滤波的实现[J]. 软件, 2013, 0(10): 58-59
作者姓名:戴飞  辛迈  邢研杰  周建  董昂  杨亚琴
作者单位:[1]兰州军区兰州总医院,兰州730050 [2]兰州理工大学电信学院,兰州730050 [3]解放军95948部队,兰州732750 [4]华为技术有限公司,广东深圳518000 [5]解放军93505部队,河北廊坊065000 [6]恩企投资管理有限公司,上海200000
基金项目:中国人民解放军“十二·五”课题(2011-JL2-007).
摘    要:目的:为除去杂波,同时克服sn叮对分辨率的限制,提高心音分析的准确性和实时性。方法:引入CWT滤波的理论,基于该理论构造算法,利用LabVIEW2011编程在应用上进行实现。结果:利用CWT滤波的方法成功对杂波滤除。结论:采用上述方法能够实现对于心音信号优化处理。

关 键 词:心音信号  LabVIEW2011  CWT滤波

The Realization of CWT Filtering for Heart Sound Signal Based on LabVIEW2011
Affiliation:Dai Fei, Xin Mai 1.2,Xing Yan_jie,Zhou Jian,Dong AngS,Yang Ya,qin Lanzhou General Hospital, Lanzhou Mlilitary Area Command, Lanzhou 730050, China) 2(School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China The Unit 95948 of PLA, LanZhou 732750, China) 4( Huawei Technologies Co.,Ltd. GuangDong, ShenZhen 5138000 The Unit 93505 of PLA, Hebei, LangFang 065000, China) 6( EnQi Investment and Management Ltd., Shanghai 200000, China
Abstract:Purpose:We do it to remove the clutters and overcome the limitations on resolution of STFT method, head to improve the accuracy and timeliness on heart sound analysis. Method:We recommend CWT filtering theory ,then design algorithm based on the theory and use the way of LabVIEW2011 to program for achieving in the application. Result: We have successfully used the CWT filtering method to carry out clutters. Conclusion: Using the method described above can achieve the goal for the optimization of the heart sound signal processing.
Keywords:the heart sound singals  LabVIEW2011  CWT filtering
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