Abstract
In view of some shortcomings of the existing rectal function diagnosis method, we propose that use the artificial anal sphincter system to collect the human rectal pressure signal, and then achieve the diagnosis of human rectal status through the rectal function diagnosis model. Since the collected signal is not pure rectal pressure signal, the single-dimensional pressure signal is extended to a multidimensional time series by phase space reconstruction. And then preprocessing of the reconstructed signal is carried out by the improved fifteenth order Newton iteration Fast ICA algorithm. The improved algorithm is simulated and the better separation effect is realized, proving the feasibility of the algorithm.
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References
Rezvan, A., Jakuswaldman, S., Abbas, M.A., et al.: Review of the diagnosis, management and treatment of fecal incontinence. Female Pelvic Med. Reconstr. Surg. 21(1), 8–17 (2014)
Bochenska, K., Boller, A.M.: Fecal incontinence: epidemiology, impact, and treatment. Clin. Colon Rectal Surg. 29(3), 264 (2016)
Fattorini, E., Brusa, T., Gingert, C., et al.: Artificial muscle devices: innovations and prospects for fecal incontinence treatment. Ann. Biomed. Eng. 44(5), 1355–1369 (2016)
Saldana, R.N., Kaiser, A.M.: Fecal incontinence - challenges and solutions. World J. Gastroenterol. 23(1), 11–24 (2017)
Song, J., Meng, D., Wang, Y.: Analysis of chaotic behavior based on phase space reconstruction methods. In: Sixth International Symposium on Computational Intelligence and Design, vol. 2, pp. 414–417. IEEE (2013)
Luo, W.J., Yuan, L.F., He, Y.G.: Improved fastICA algorithm based on fifteen-order Newton iteration. Comput. Eng. Appl. 52(20), 108–113 (2016)
Otani, M., Jones, A.J.: Automated Embedding and the Creep Phenomenon in Chaotic Time Series (2001)
Huang, X.: An improved FastICA algorithm for blind signal separation and its application. In: International Conference on Image Analysis and Signal Processing, vol. 8556, pp. 1–4. IEEE (2013)
Li, Q.R., Yan, G.Z.: A non-invasive capsule and clinic experimentation for detecting the physiological parameters of gastrointestinal tract. Beijing Biomed. Eng. 27(3), 281–285 (2008)
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This work was supported by National Natural Science Foundation of China (No. 31570998)
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Zan, P., Liu, Y., Zhang, S., Zhang, C., Wang, H., Gao, Z. (2017). Research of Rectal Pressure Signal Preprocessing Based on Improved FastICA Algorithm. In: Fei, M., Ma, S., Li, X., Sun, X., Jia, L., Su, Z. (eds) Advanced Computational Methods in Life System Modeling and Simulation. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 761. Springer, Singapore. https://doi.org/10.1007/978-981-10-6370-1_1
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DOI: https://doi.org/10.1007/978-981-10-6370-1_1
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