Research on the evaluation of rectal function after LAR based on CEEMDAN‐Fast‐ICA algorithm
Abstract Rectal cancer is one of the most common lower gastrointestinal diseases worldwide. Currently, the common treatment is low anterior resection (LAR) of the rectum, which preserves the anus of the patient. However, it is easy to cause low anterior resection syndrome after surgery, which has a...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
|
| Series: | IET Science, Measurement & Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/smt2.12140 |
| _version_ | 1797813787750825984 |
|---|---|
| author | Peng Zan Yutong Zhao Hua Zhong Yang Yu Yuanbo Wang Yijia Shao Chunyong Li |
| author_facet | Peng Zan Yutong Zhao Hua Zhong Yang Yu Yuanbo Wang Yijia Shao Chunyong Li |
| author_sort | Peng Zan |
| collection | DOAJ |
| description | Abstract Rectal cancer is one of the most common lower gastrointestinal diseases worldwide. Currently, the common treatment is low anterior resection (LAR) of the rectum, which preserves the anus of the patient. However, it is easy to cause low anterior resection syndrome after surgery, which has a significant negative impact on the life of patients, and there is no unified evaluation standard for postoperative rectal function. To solve this problem, a multi‐sensor fusion rectal information acquisition system is designed in this paper, and a rectal signal processing method is proposed to theoretically evaluate the rectal function of postoperative patients. The method uses the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to decompose the one‐dimensional rectal signal to solve the underdetermined ICA problem, uses the Fast independent component analysis (Fast‐ICA) to separate the pure rectal signal, uses the wavelet packet to extract features, and uses the particle swarm optimization optimizes support vector machine (PSO‐SVM) to classify and evaluate postoperative function. According to the experimental results, the rectal signal preprocessing effect is good, the evaluation prediction rate is 99.5565%, and the algorithm classification results are accurate, which provides a certain preliminary theoretical basis and reference value for the evaluation of rectal function after LAR. |
| first_indexed | 2024-03-13T07:57:57Z |
| format | Article |
| id | doaj.art-3e2de62a179449daa0933b0a20567fed |
| institution | Directory Open Access Journal |
| issn | 1751-8822 1751-8830 |
| language | English |
| last_indexed | 2024-03-13T07:57:57Z |
| publishDate | 2023-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Science, Measurement & Technology |
| spelling | doaj.art-3e2de62a179449daa0933b0a20567fed2023-06-02T03:16:01ZengWileyIET Science, Measurement & Technology1751-88221751-88302023-06-0117416718210.1049/smt2.12140Research on the evaluation of rectal function after LAR based on CEEMDAN‐Fast‐ICA algorithmPeng Zan0Yutong Zhao1Hua Zhong2Yang Yu3Yuanbo Wang4Yijia Shao5Chunyong Li6Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronics Engineering and Automation Shanghai University Shanghai ChinaShanghai Key Laboratory of Power Station Automation Technology School of Mechatronics Engineering and Automation Shanghai University Shanghai ChinaShanghai Key Laboratory of Power Station Automation Technology School of Mechatronics Engineering and Automation Shanghai University Shanghai ChinaShanghai Key Laboratory of Power Station Automation Technology School of Mechatronics Engineering and Automation Shanghai University Shanghai ChinaShanghai Key Laboratory of Power Station Automation Technology School of Mechatronics Engineering and Automation Shanghai University Shanghai ChinaSchool of Electronic Science and Engineering Southeast University Nanjing Jiangsu ChinaBeijing Institute of Radiation Medicine Beijing ChinaAbstract Rectal cancer is one of the most common lower gastrointestinal diseases worldwide. Currently, the common treatment is low anterior resection (LAR) of the rectum, which preserves the anus of the patient. However, it is easy to cause low anterior resection syndrome after surgery, which has a significant negative impact on the life of patients, and there is no unified evaluation standard for postoperative rectal function. To solve this problem, a multi‐sensor fusion rectal information acquisition system is designed in this paper, and a rectal signal processing method is proposed to theoretically evaluate the rectal function of postoperative patients. The method uses the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to decompose the one‐dimensional rectal signal to solve the underdetermined ICA problem, uses the Fast independent component analysis (Fast‐ICA) to separate the pure rectal signal, uses the wavelet packet to extract features, and uses the particle swarm optimization optimizes support vector machine (PSO‐SVM) to classify and evaluate postoperative function. According to the experimental results, the rectal signal preprocessing effect is good, the evaluation prediction rate is 99.5565%, and the algorithm classification results are accurate, which provides a certain preliminary theoretical basis and reference value for the evaluation of rectal function after LAR.https://doi.org/10.1049/smt2.12140CEEMDANFAST‐ICAmulti‐sensor information fusionPSO‐SVMrectal function assessment |
| spellingShingle | Peng Zan Yutong Zhao Hua Zhong Yang Yu Yuanbo Wang Yijia Shao Chunyong Li Research on the evaluation of rectal function after LAR based on CEEMDAN‐Fast‐ICA algorithm IET Science, Measurement & Technology CEEMDAN FAST‐ICA multi‐sensor information fusion PSO‐SVM rectal function assessment |
| title | Research on the evaluation of rectal function after LAR based on CEEMDAN‐Fast‐ICA algorithm |
| title_full | Research on the evaluation of rectal function after LAR based on CEEMDAN‐Fast‐ICA algorithm |
| title_fullStr | Research on the evaluation of rectal function after LAR based on CEEMDAN‐Fast‐ICA algorithm |
| title_full_unstemmed | Research on the evaluation of rectal function after LAR based on CEEMDAN‐Fast‐ICA algorithm |
| title_short | Research on the evaluation of rectal function after LAR based on CEEMDAN‐Fast‐ICA algorithm |
| title_sort | research on the evaluation of rectal function after lar based on ceemdan fast ica algorithm |
| topic | CEEMDAN FAST‐ICA multi‐sensor information fusion PSO‐SVM rectal function assessment |
| url | https://doi.org/10.1049/smt2.12140 |
| work_keys_str_mv | AT pengzan researchontheevaluationofrectalfunctionafterlarbasedonceemdanfasticaalgorithm AT yutongzhao researchontheevaluationofrectalfunctionafterlarbasedonceemdanfasticaalgorithm AT huazhong researchontheevaluationofrectalfunctionafterlarbasedonceemdanfasticaalgorithm AT yangyu researchontheevaluationofrectalfunctionafterlarbasedonceemdanfasticaalgorithm AT yuanbowang researchontheevaluationofrectalfunctionafterlarbasedonceemdanfasticaalgorithm AT yijiashao researchontheevaluationofrectalfunctionafterlarbasedonceemdanfasticaalgorithm AT chunyongli researchontheevaluationofrectalfunctionafterlarbasedonceemdanfasticaalgorithm |