小波包分析和支持向量机用于直肠感知功能重建

doi:10.3969/j.issn.0255-8297.2012.05.016

Abstract

Abstract:

To solve the problem of rectal perception loss caused by anal incontinence, a rectal perception function rebuilding method is proposed based on wavelet packet analysis and support vector machine (SVM). By analyzing the characteristics of human rectum, high-amplitude propagated contractions (HAPC) in rectal contractions are used to indicate an urge to defecate. Feature extraction of rectal pressure is done using wavelet packet analysis, and take L2 norm and standard deviation of decomposition nodes as eigenvector. A rectal perception prediction model is trained using SVM. By extracting eigenvector from rectal pressure signal, penalty factors and slack variables are cross validated and optimized. Then the trained model is used to predict the urge to defecate. Prediction accuracy of the feed-forward neural network and SVM with different kernel functions is compared. Experiment results show that the proposed method is effective to rebuild patients’ rectal perception function.

Key words: wavelet packet analysis, support vector machine, rectal perception, feature extraction

CLC Number:

Q811.2

JIANG En-Yu, Zan-Feng, Shu-Xiao-Jin, Shao-Yong, Wang-Xiao-Hua. Rectal Perception Function Rebuilding Based on Wavelet Packet Analysis and Support Vector Machine[J]. Journal of Applied Sciences, 2012, 30(5): 538-544.

References

[1] Rao S S C. Advances in diagnostic assessment of fecal incontinence and dyssynergic defecation [J]. Clinical Gastroenterology and Hepatology, 2010, 8(11): 910-919.
[2] 汤浩，姜敏，李红菊. 肠易激综合直肠感知功能和胆囊收缩功能的研究[J]. 中国实用内科杂志，2008, 28(3):184-186.
Tang Hao, Jiang Min, Li Hongju. The research of visceral perception and gallbladder contraction function in irritable bowel syndrome patients [J]. Chinese Journal of Practical Internal Medicine, 2008, 28(3):184-186. (in Chinese)
[3] 许斌. 肛直肠运动和感觉功能检查技术应用现状[J]. 国外医学：消化系疾病分册，2000, 20(4): 213-216.
Xu Bin. Anorectal motor and testing technology of sensory function application situation [J]. Foreign Medical Sciences: Digestive System Diseases, 2000,20(4): 213-216. (in Chinese)
[4] Poitras P, Poitras M R, Plourde V, Boivin M. Evolution of visceral sensitivity in patients with irritable bowel syndrome [J]. Digestive Diseases and
Sciences, 2002, 47(4): 914-920.
[5] 彭文季，罗兴錡. 基于小波包分析和支持向量机的水电机组振动故障诊断研究[J]. 中国电机工程学报，2006,26(24): 164-168.
Peng Wenji, Luo Xingqi. Research on vibrant fault diagnosis of hydro-turbine generating unit based on wavelet packet analysis and support vector machine [J]. Proceedings of the CSEE, 26(24): 164-168. (inChinese)
[6] Tsiaparas N N, Golemati S, Andreadis I, Stoitsis J S, Valavanis I, Nikita K S. Comparison of multriresolution features for texture classification
of carotid atherosclerosis form B-Mode ultrasound [J]. IEEE Transactions on Information Technology in Biomedicine, 2011, 1(15): 130-137.
[7] Manimala K, Selvi K, Ahila R. Optimization techniques for improving power quality data mining using wavelet packet based support vector machine [J].Neurocomputing, 2011, 8: 1-12.
[8] Koley C, Purkait P, Chakravorti S. Waveletaided SVM tool for impulse fault identification in transformers [J]. IEEE Transactions on Power Delivery,
2006, 3(21): 1283-1290.
[9] Saeedi N E, Almasganj F, Torabinejad F. Support vector wavelet adaptation for pathological voice assessment [J]. Computers in Biology and Medicine,2011, 41: 822-828.
[10] Camilleri M, Bharucha A E, Lorebzo C D,Hasler W L, Prather C M. American neurogastroenterology and motility society consensus statement
on intraluminal measurement of gastrointestinal and colonic motility in clinical practice [J]. Neurogastroenterology and Motility, 2008, 20: 1269-1282.
[11] 陈绍娟，李春联，叶石才. 改良保留灌肠法在溃疡性结肠炎治疗中的应用[J]. 全科护理，2010, 8(11): 2834-2835.
Chen Shaojuan, Li Chunlian, Ye Shicai. Application of improved retention enema in treatment of patients with ulcerative colitis [J]. Chinese General Nursing,2010, 8(11): 2834-2835. (in Chinese)
[12] 杨帮华，颜国正，严荣国. 脑电接口中基于小波包最优基的特征抽取[J]. 上海交通大学学报，2005, 39(11):1879-1882.
Yang Banghua, Yan Guozheng, Yan Rongguo. The feature extraction in brain-computer interface based on best basis of wavelet packet [J]. Journal of Shanghai Jiaotong University, 2005, 39(11): 1879-1882. (in Chinese)
[13] Jazebi S, Vahidi B, Jannati M. A novel application of wavelet based SVM to transient phenomena identification of power transformers [J]. Energy Conversion and Management, 2011, 52: 1354-1363.

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Rectal Perception Function Rebuilding Based on Wavelet Packet Analysis and Support Vector Machine

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