Research of LMD-STFT Algorithm Based on Wavelet Packet in rectal dynamic function diagnosis

• Published in: Chinese Control Conference pp. 6356 - 6361
• Main Authors: Zan, Peng, Zhao, Yutong, Sui, Jinke, Yang, Banghua, Zhang, Guofu, Zhong, Hua, Xu, Huiyan
• Format: Conference Proceeding
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 26.07.2021
• Subjects: Animals; Fourier transforms; Heuristic algorithms; Local mean decomposition; Performance analysis; Rectal dynamic function diagnosis; Time-frequency analysis; Wavelet analysis; Wavelet packet analysis; Wavelet packets
• ISSN: 1934-1768
• DOI: 10.23919/CCC52363.2021.9549840

Fecal incontinence (FI) is that the anal sphincter losses the ability to control the expulsion of intestinal contents. With the development of medical technology, the cure rate of patients with anal incontinence is increasing, but the detection of rectal motility after treatment is relatively lacking. A model of rectal information collection and functional diagnosis system is proposed in this study. It can collect many kinds of signals from the patient's rectum at a time to analyze their rectal motility function. This paper proposes a local mean decomposition and short-time Fourier transform (LMD-STFT) algorithm based on wavelet packet to process the collected rectal pressure signal. This program uses wavelet packets to denoise the rectal pressure signal, and decomposes the denoised signal through LMD, and analyzes the decomposed signal with STFT to get the dynamic characteristics of the rectum. Experiments show that this method can improve the efficiency of local signal decomposition, eliminate the influence of noise on the diagnosis results, preprocess the rectal signal, obtain the dynamic characteristics of the rectum, and diagnose the rectal function. This study laid a foundation for rectal information collection and function diagnosis system to achieve rectal function diagnosis.