基于Holter心电数据自动诊断的移动医疗服务
The Mobile Medical Service Based on the Analysis of Automatic Diagnosis of Holter Electrocardiogram Data
摘要:
本文从心电图(ECG)信号自动诊断的角度切入移动医疗服务,期望以实现ECG自动诊断来带动移动医疗服务的发展。文中重点描述了实现自动诊断过程中面临的主要问题,并结合临床数据进行验证,提出以树结构层次聚类的方式提高ECG模式分类效果。在Holter临床数据上的实验结果表明,树形层次聚类法可以很好的找到数据集中的异常心拍。
Abstract:
In this paper, we consider the mobile medical service from the perspective of diagnosis of elec-trocardiogram (ECG) signal, and expect to promote the development of mobile medical service through the implementation of automatic diagnosis of ECG. We focus on the main problem during the procedure of implementing the automatic diagnosis, which is illustrated with ECG clinical data. And we propose a hierarchical clustering method based on tree structure to improve the results of ECG pattern classification. The simulation results on clinical data collected by smart device such as Holter, reveal that the tree-like hierarchical clustering method can effectively detect abnormal heart beat from ECG data set.
参考文献
[1]
|
Eric, T. (2013) The Creative Destruction of Medicine. Basic Books AZ.
|
[2]
|
李志平, 张福利, 马学博. 心电研究与现代心电图监测法建立的历史回顾[J]. 中华医史杂志, 1999, 29(4): 215- 219.
|
[3]
|
Engin, M., Fedakar, M., Engin, E.Z., et al. (2006) Feature Measurements of ECG Beats Based on Statistical Classifiers. Measurement, 40, 904-912. http://dx.doi.org/10.1016/j.measurement.2006.10.012
|
[4]
|
Inan, O.T., Giovangrandi, L. and Kovacs, G.T.A. (2006) Robust Neural-Network Based Classification of Premature Ventricular Contractions Using Wavelet Transform and Timing Interval Features. IEEE Transactions on Biomedical Engineering, 53, 2507-2515. http://dx.doi.org/10.1109/TBME.2006.880879
|
[5]
|
Friedemann, W., Stallmann, D., Hubert, V., et al. (1961) Au-tomatic Recognition of Electrocardiographic Waves by Digital Computer. Proceedings of the Fifth Annual Meeting of the Biophysical Society, The Biophysical Society, St. Louis, 1138-1143.
|
[6]
|
Clifford, G.D., Azuaje, F. and McSharry, P.E. (2006) Advance Methods and Tools for ECG Data Analysis. Artech House, London.
|
[7]
|
王丽萍, 董军. 心电图模式分类方法研究进展与分析[J]. 中国生物医学工程学报. 2010(6): 916-925.
|
[8]
|
金林鹏, 董军. 面向临床心电图分析的深层学习算法研究[J]. 中国科学: 信息科学, 2015(3): 398-416.
|
[9]
|
Bo, Y., Soo, K.T., Bart, H., Christopher, M. and Yi, S. (2014) Robust Identification of Heartbeats and Blood Pressure Signals and Noise Detection. Computing in Cardiology, 41, 565-568.
|
[10]
|
Wu, D. (2009) Supplier Selection: A Hybrid Model Using DEA, Decision Tree and Neural Network. Expert Systems with Applications, 36, 9105-9112. http://dx.doi.org/10.1016/j.eswa.2008.12.039
|