This article presents an intelligent controller system using hybrid approach of adaptive neuro-fuzzy inference system (LUTS) for control detrusor pressure and urethral pressure by correction disorders that occurs in the LUTS. Six types of LUTS disorders are used to test the adaptive network-based fuzzy inference system controller, which are an absence of bladder contraction caused by the nervous signal disorder, absence of bladder contraction caused by bladder muscle disorder, absence of urethra contraction caused by nervous signal disorder, obstructed urine flow disorder, irregular urine flow disorder, and intermittent urine flow disorder. Simulations were run in MATLAB 7, and the results of our work have demonstrated a very low transient response and a nonoscillating steady-state response with excellent stabilization.
Corresponding author: Mohanad A. Deif, MSc, Department of Biomedical Engineering, Helwan University, Helwan, 1 El Sherif street, Faculty of Engineering, Helwan University, Cairo, Egypt 11792 (Eng_mohand@hotmail.com).
Mohanad A. Deif, MSc, is on the faculty of the Department of Biomedical Engineering at Helwan University in Cairo Egypt.
Mohamed A. A. Eldosoky, PhD, is an associate professor in the Department of Biomedical Engineering at Helwan University. He can be reached at email@example.com.
Hesham W. Gomma, PhD, is associate professor in the Department of Electronics, Communications and Computers at Helwan University. He can be reached at firstname.lastname@example.org.
Ahmed M. El-Garhy, PhD, is a professor in the Department of Electronics, Communications and Computers at Helwan University. He can be reached at email@example.com.
Ahmed S. Ell-Azab, PhD, is Section of Female Urology and NeuroUrology, Urology Department, Faculty of Medicine, Assiut University in Assiut, Egypt. He can be reached at firstname.lastname@example.org.
The authors declare no conflicts of interest.