| 基于HMM的心电数据压缩方法研究 |
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| 引用本文： | 李延龙,吕文红,郭银景,王洪涛. 基于HMM的心电数据压缩方法研究[J]. 计算机工程与应用, 2006, 42(25): 183-184,226 |
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| 作者姓名： | 李延龙 吕文红 郭银景 王洪涛 |
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| 作者单位： | 北京理工大学机电学院,北京,100081;山东科技大学信息与电气工程学院,山东,青岛,266510 |
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| 摘 要： | 心电数据压缩在远程医疗和动态监测方面具有非常重要的意义。心电信号的各个脉动周期具有很强的相关性。基于隐马尔可夫模型(HiddenMarkovModel,HMM)的心电数据压缩方法充分利用ECG信号的相关性对源信息进行处理。实验证明,该方法在高数据压缩比的情况下仍然能够很好地恢复原始数据,计算复杂度相对较小。
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| 关 键 词： | 隐马尔科夫模型 数据压缩 心电图 |
| 文章编号： | 1002-8331-（2006）25-0183-02 |
| 收稿时间： | 2006-01-01 |
| 修稿时间： | 2006-01-01 |
Study on ECG Data Compression Method Based on HMM |
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| LI Yan-long,LV Wen-hong,GUO Yin-jing,WANG Hong-tao. Study on ECG Data Compression Method Based on HMM[J]. Computer Engineering and Applications, 2006, 42(25): 183-184,226 |
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| Authors: | LI Yan-long LV Wen-hong GUO Yin-jing WANG Hong-tao |
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| Affiliation: | Beijing Institute of Technology, Beijing 100081;Shandong University of Science and Teehnology, Qingdao, Shandong 266510 |
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| Abstract: | ECG data compression is of great importance to the telemedicine and dynamic monitoring.ECG signal has a strong correlation between every pulse period.This method of ECG data compression based on HMM makes full use of ECG signal's correlation to process the original information.Experiment verifies that this method can well rebuild the original data while the data compression ratio is high and the computational complexity is lower relatively. |
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| Keywords: | Hidden Markov Model data compression ECG |
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