An adaptive multi-critic neuro-fuzzy control framework for intravenous anesthesia administration

Mohammad Javad Khodaei; M. Hadi Balaghi I.; Amin Mehrvarz; Nader Jalili

doi:10.1016/j.ifacol.2019.01.066

An adaptive multi-critic neuro-fuzzy control framework for intravenous anesthesia administration

Mohammad Javad Khodaei, M. Hadi Balaghi I., Amin Mehrvarz, Nader Jalili (Corresponding author)

Control Systems Technology

Research output: Contribution to journal › Conference article › peer-review

9 Citations (Scopus)

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Abstract

Development of closed-loop control strategies for drug infusion and delivery is one of the most recent efforts of control engineers and clinicians. This can be used especially in anesthesia during different surgeries to stabilize the patient in the desired awareness condition. In this paper, an adaptive neuro-fuzzy controller is proposed to overcome the current challenges in closed-loop control of anesthesia such as inter and intra patient variability, complex and nonlinear dynamics, measurement noises and surgical disturbances as well as the presence of undershoot and overshoot in the induction phase. The results show an acceptable performance of the proposed controller in solving these problems by providing a learning scheme.

Original language	English
Pages (from-to)	202-207
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	51
Issue number	34
DOIs	https://doi.org/10.1016/j.ifacol.2019.01.066
Publication status	Published - 8 Feb 2019
Event	2nd IFAC Conference on Cyber-Physical and Human Systems CPHS 2018 - Miami, United States Duration: 13 Dec 2018 → 15 Dec 2018

Keywords

Closed-loop drug infusion
Critic-based fuzzy controller
Inter
intra patient variability
Intravenous anesthesia
Surgical disturbances

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10.1016/j.ifacol.2019.01.066

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title = "An adaptive multi-critic neuro-fuzzy control framework for intravenous anesthesia administration",

abstract = "Development of closed-loop control strategies for drug infusion and delivery is one of the most recent efforts of control engineers and clinicians. This can be used especially in anesthesia during different surgeries to stabilize the patient in the desired awareness condition. In this paper, an adaptive neuro-fuzzy controller is proposed to overcome the current challenges in closed-loop control of anesthesia such as inter and intra patient variability, complex and nonlinear dynamics, measurement noises and surgical disturbances as well as the presence of undershoot and overshoot in the induction phase. The results show an acceptable performance of the proposed controller in solving these problems by providing a learning scheme.",

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AU - Khodaei, Mohammad Javad

AU - Balaghi I., M. Hadi

AU - Mehrvarz, Amin

AU - Jalili, Nader

PY - 2019/2/8

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AB - Development of closed-loop control strategies for drug infusion and delivery is one of the most recent efforts of control engineers and clinicians. This can be used especially in anesthesia during different surgeries to stabilize the patient in the desired awareness condition. In this paper, an adaptive neuro-fuzzy controller is proposed to overcome the current challenges in closed-loop control of anesthesia such as inter and intra patient variability, complex and nonlinear dynamics, measurement noises and surgical disturbances as well as the presence of undershoot and overshoot in the induction phase. The results show an acceptable performance of the proposed controller in solving these problems by providing a learning scheme.

KW - Closed-loop drug infusion

KW - Critic-based fuzzy controller

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KW - intra patient variability

KW - Intravenous anesthesia

KW - Surgical disturbances

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An adaptive multi-critic neuro-fuzzy control framework for intravenous anesthesia administration

Abstract

Keywords

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