The Use of Fuzzy Measures in Pain Relief Control

スポンサーリンク

概要

• 論文の詳細を見る

• Many people suffer from a continuous strong pain which is caused solely by the malfunction of the pain mechanism itself. One way to ease their pain is to electrically stimulate the spinal cord. Since the equations of pain are not known, we must use heuristic methods to find the optimal pain relief stimulation. In this paper, we show how fuzzy measures and similar nonlinear models can be used in pain relief control: they can be used to determine the parameters of the model which describes the dependence of the pain relief on the applied stimulation. Thus, fuzzy measures lead to the determination, for a given pain distribution, of the optimal pain relief stimulation.

• バイオメディカル・ファジィ・システム学会の論文

著者

• Prasad N

  Department Of Electrical Engineering New Mexico State University

• KREINOVICH Vladik

  Department of Computer Science, University of Texas at El Paso

• PRASAD Nadipuram

  Department of Electrical Engineering, New Mexico State University

• Prasad Nadipuram

  Department Of Computer And Electrical Engineering New Mexico State University

• Kreinovich Vladik

  Department Of Computer Science University Of Texas At El Paso

関連論文

• The Use of Fuzzy Measures in Pain Relief Control
• Developing a Supporting Expert System for Lung-Disease Diagnosis Using Fuzzy Logic
• Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces
• FIXED POINT THEOREMS FOR DISSIPATIVE MAPPINGS IN COMPLETE PROBABILISTIC METRIC SPACES

スポンサーリンク