Fuzzy logic control of blood pressure during anesthesia pdf

Our new crystalgraphics chart and diagram slides for powerpoint is a collection of over impressively designed datadriven chart and editable diagram s guaranteed to impress any audience. Physiciandirected versus computerized closedloop control. Abstractalthough hypertension has always been a high risk factor during anesthesia and surgery, risk can be reduced by preoperative control of blood pressure, evaluation of the patient to determine risk factors that can exacerbate blood pressure rises, and continuation of preoperative antihypertensive therapy. Inverted pendulum 483 aircraft landing control problem 490 industrial applications 496 fuzzy logic control of blood pressure during anesthesia 497 fuzzy logic applications to imageprocessing equipment 500 customer.

Currently, the administration of intravascular volume is carried out primarily based on the experience and expertise of the anesthesiologist as there is no analytical method available to estimate the transplant. Pdf fuzzy logic control of blood pressure during anesthesia. To develop a simple, economic and reliable method to control the depth of anesthesia, parameters such as mean blood pressure, heart rate, age and weight are considered as the model input. Mean arterial blood pressure map is calculated with the formula below, where sabp is the systolic arterial blood pressure, and dabp is the diastolic arterial blood pressure. In this paper, a fuzzy logic controller is designed and developed for control of mean arterial pressure map of a patient during anesthesia using the anesthetic drug isoflurane. Sympathetic activation during the induction of anesthesia can cause the blood pressure to rise by 20 to 30 mmhg and the heart rate to increase by 15 to 20 beats per minute in normotensive individuals. Fuzzy logic reasoning, a powerful new form of information processing, will be employed to infer depth of anaesthesia from online measurements of cerebral activity eeg and cardiovascular function hearth rate and arterial.

Theyll give your presentations a professional, memorable appearance the kind of sophisticated look that. Introductionthe techniques of fuzzy logic and expert system have been used in the medical area since middle 1970. Research article performance analysis of extracted rule. We compare type1 and type2 selforganizing fuzzy logic controller soflc using expert initialized and pretrained extracted rulebases applied to automatic control of anaesthesia during surgery. A compariso n between the predictions of the anesthesiologist and anesthetic predictions according to fuzzy logic of our work is done. Blood pressure control, clinical application, hypotensive anesthesia, risk contr. Arterial pressure control with isoflurane using fuzzy logic citeseerx.

Arterial pressure control with isoflurane using fuzzy logic. Data capturing inter and intrapatient variability used to define type2 fuzzy sets. A fuzzy logic algorithm has been used to improve norepinephrine weaning in septic patients. Depth control of sevofluorane anesthesia with microcontroller. The anesthetists control important control variables such as blood pressure, heart rate, temperature, blood oxygenation and exhaled co2 within the acceptable bounds. Fuzzy logic is a problemsolving control system methodology that provides a simple way to arrive at a definite conclusion based on vague, ambiguous, imprecise, noisy or missing input information. Abstractin this paper, a fuzzy logic controller is designed and developed for control of mean arterial pressure map of a patient during anesthesia using the anesthetic drug isoflurane. At the forefront of intelligent control systems technology are fuzzy logic control flc, neural networks nn and genetic algorithms ga, which have all proved to be highly useful for many other existing forms of control. Anesthesia, control, fuzzy logic, matlab r2017a, propofol. Type2 soflc use type2 fuzzy sets to handle anesthesia control uncertainties. Definitive surgical treatment of a combat casualty can be delayed and lifesaving fluid resuscitation might be necessary in the field. Therefore it is important to test the controller under noisy. Type2 selforganizing fuzzy logic controllers for automatic anesthesia control.

Section 4 presents the simulation results followed by the conclusions and the related references. Pdf applying fuzzy logic to medical decision making in. The introduction of fuzzy logic for setting up dsss is founded on the ability of fuzzylogic in dealing with the incompleteness and vagueness that often characterize medical data and knowledge. A proposed health monitoring system using fuzzy inference. The type2 soflc uses type2 fuzzy sets derived from real. The potential benefits of the systems are as follows. This phenomenon exists in the data collected from the electromyogram and blood pressure monitor. This study will serve as a guide in developing new anesthesia control systems for patients. Md770 meditec fuzzy logic digital blood pressure monitor. Blood pressure is the force of blood pushing up against the blood vessel walls. May 11, 20 this pattern of perioperative blood pressure lability is common in hypertensive patients, and will require your vigilance to avoid extremes of hypotension or hypertension.

Vasopressor infusion using closedloop control clc systems has been proposed as a feasible method for blood pressure control. A dynamical approach to machine intelligence, prenticehall, newdelhi, 2004. Fuzzy logic and decisionmaking in anaesthetics ncbi. The anesthetists management of the administration of the inhaled anesthetic enflurane was imitated by fuzzylogic control of the blood pressure. Study found that 20% of urban whites had blood pressures greater than 16095 mm hg, and almost half had pressures greater than 14090 mm hg. These responses may be more pronounced in patients with untreated hypertension in whom the systolic blood pressure can increase by 90 mmhg and.

The selforganizing fuzzy logic controller for multivariable anesthesia system is given in section 3. In the present study, the authors used nicardipine as the hypotensive drug, and determined its infusion rate based on the stateaction diagram of fuzzy control rules, that the authors developed, to evaluate the concept of zadehs fuzzy logic controller. Selforganizing fuzzy logic controller for the multivariable. An intraoperative fluid therapy fuzzy logic control system. An automatic control system of the blood pressure of. Mean arterial blood pressure has only rarely been used as an input variable for closedloop control of anesthesia and analgesia. We perform experimental simulations using a nonfixed patient model and signal noise to account for environmental and patient drug interaction uncertainties. Nearly every application can potentially realize some of the benefits of fuzzy logic, such as performance, simplicity, lower cost, and increased productivity. Abstractin this paper, a fuzzy logic controller is designed and developed for control of mean arterial pressure map of a patient during anesthesia using the. Moreover, fuzzy control of map of a patient during anesthesia under plant parameter variation hakan and a supervising algorithm is used for online updating the fuzzy gain scheduler of the pid. Controlling the depth of anesthesia during operation by. This pattern of perioperative blood pressure lability is common in hypertensive patients, and will require your vigilance to avoid extremes of hypotension or hypertension. Original article crisis management during anaesthesia. Fuzzy logic control of human blood pressure during anesthesia abstract.

Type2 fuzzy sets applied to multivariable selforganizing. During anaesthesia, fuzzy control periods of 45min duration were alternated randomly with human control periods of equal duration. The idea is to develop a logic, which could be incorporated in a pocket friendly device in future that would generate an alarm whenever there is imbalance in blood sugar or blood pressure levels. Fuzzy logic automatically determines ideal cuff pressure easy to operate. Both type1 and type2 fuzzy logic controllers are also reported in the literature in closedloop control of anesthesia. Mathematical modeling of drugs in this study, prevalent drugs that apply in modern surgery such as isoflurane for blood pressure and. Fuzzy logic controller for hemodialysis machine based on. Fuzzy controllers are being used in various control schemes. A fuzzy logic controller that controls mean arterial pressure map, which is taken as a parameter for depth of anesthesia during surgery, is described. Recently, fuzzy logic has been used to analyze spontaneous rr series as a function of blood pressure values, comparing performances in real and surrogate data gouveia and. The aim of this study is to adjust the hemodialysis machine parameters by utilizing a fuzzy logic controller flc so that patients hemodynamic condition remains stable during hemodialysis treatment. Meier r, nieuwland j, zbinden am, hacisalihzade ss.

In this paper, novel interval and general type2 selforganizing fuzzy logic controllers soflcs are proposed for the automatic control of anesthesia during surgical procedures. Hemorrhagic shock is the leading cause of traumarelated death in the military setting. Blood pressure has been used for control of depth of anesthesia by fuzzy logic 24, 25, and in some cases outperformed a human operator. Mathematical modeling and fuzzy logic control of inspired. In this study a fuzzy logic controller was used to control depth of sevofluorane anethesia, which was taken as a measure of the systolic blood pressure and hearth rate. The clinical and electrophysiological manifestations of different degrees of induced hypotension are shown in the table below data from finnerty 1954, trojaborg 1973. During anesthesia, the sbp remained within 20% of the preanesthetic sbps in 82% of the fuzzy control cases and within 83% during manual control. Automated closedloop resuscitation of multiple hemorrhages.

We developed an automated closedloop control system capable of. Fuzzy logic is the science of reasoning, thinking and inference that recognizes and uses the real world phenomenon that everything is a. The main reason for automating the control of depth anesthesia is to release the anesthesiologist so that he or she can devote attention to other tasks as well controlling fluid. An adaptive neurofuzzy strategy in closedloop control of. Special forms of fuzzy logic control system models 477 examples of fuzzy control system design 478 classical fuzzy control problem.

Fuzzy logic control of human blood pressure during anesthesia. Frontiers mathematical biomarkers for the autonomic. This paper essentially reports the engineering details of the control system. Winner of the standing ovation award for best powerpoint templates from presentations magazine. Fuzzy logic has been gaining increasing acceptance during the past few years. Fuzzy pharmacology is a term coined to represent the application of fuzzy logic and fuzzy set theory to pharmacological problems. In this paper, an objective approach of giving anesthetic to patients during surgical operation using fuzzy logic is proposed. This study developed a multivariable, computerbased fuzzy logic method to control of child blood pressure during anaesthesia. Fuzzy logic reasoning, a powerful new form of information processing, will be employed to infer depth of anaesthesia from online measurements of cerebral activity eeg and cardiovascular function hearth rate and arterial blood pressure, reflexes of a. Timothy j ross, fuzzy logic with engineering applications, john willey and sons, west sussex, england. Patient hemodynamics must be monitored to manage blood. Fuzzy logic based smart anaesthesia monitoring system in. The anesthetist s management of the administration of the inhaled anesthetic enflurane was imitated by fuzzylogic control of the blood pressure. The techniques of fuzzy logic and expert system have been used in the medical area since middle 1970.

Remember that based on the howell study, millers anesthesia recommends elective surgery be delayed for hypertension until the blood pressure is less than 180110 mm hg. Fuzzylogic control of blood pressure through enflurane. Blood pressure monitoring for the anesthesiologist. Hypertension can lead to damaged organs, as well as several illnesses, such as kidney failure, heart failure, stroke, or heart attack. Page 2 of 62 accepted manuscript 2 type2 fuzzy sets applied to multivariable selforganizing fuzzy logic controllers for regulating anesthesia faiyaz doctor1 chihhao syue2 yanxin liu2 jiannshing shieh2 rahat iqbal1 1department of computing, coventry university, coventry, cv1 5fb, united kingdom 2department of mechanical engineering, and innovation center for big. Therefore, improved resuscitation strategies are critically needed for prolonged field and en route care. Fuzzy logic control of mechanical ventilation during anaesthesia. Fuzzy logic reasoning, a powerful new form of information processing, will be employed to infer depth of anaesthesia from online measurements of cerebral activity eeg and cardiovascular function hearth rate and arterial blood pressure, reflexes of a patient break down under general anaesthesia. Fuzzy logic is the science of reasoning, thinking and inference that recognizes and uses the real world phenomenon that everything is a matter of degree. Multivariable fuzzy logicselforganizing for anesthesia control.

Multivariable fuzzy logicselforganizing for anesthesia. In this context, fuzzy logic methods can contribute to establish a brs dependent of blood pressure level, similarly to time domain blood pressure pharmacological methods. The concept of the fuzzy inference rule and firstorder logic is implemented to develop this study. In this study, a fuzzy logic system is used to control fluid balance during rt by changes in blood pressure, heart rate and cvp value. Pdf applying fuzzy logic to medical decision making in the. American journal of respiratory and critical care medicine. Mason and coworkers 22, 23 used a fuzzy logic algorithm that could learn from experience to control the administration of neuromuscular blockade during surgery. Blood pressure control, clinical application, hypotensive anesthesia, risk.

It stems from the theoretical work of lotfi zadeh 3,4. The type2 soflc is a hierarchical adaptive fuzzy controller able to generate and modify its rulebase in response to the controllers performance. Ppt introduction to fuzzy logic powerpoint presentation. Fuzzy logic system inputs t and n represent blood pressures mmhg and pulse rates p m. In this study, sevofluorane depth of anesthesia was examined through a microcontrollerbased fuzzy logic control system according to the blood pressure and heart rate taken from the patient. Abbod2, jiannshing shieh chiayu hsu3 1department of mechanical engineering, yuan ze university, chungli 320, taiwan, roc 2school of engineering and design, brunel university, west london, uxbridge ub8 3ph, uk.

These controllers are improved in combination with neural network systems and the genetic algorithm methods and. The selforganizing fuzzy logic controller soflc proposed by shieh et al. Closedloop control of mean arterial blood pressure during. Changes in variables such as blood pressure and respiratory rate are monitored. Controlling the depth of anesthesia during operation by vital. Automatic pressure reduction 2 3 mmhgsec inflation method. Heating systemblood pressure during anesthesiaintroduction to neuro fuzzy controller. Jul 31, 2002 mason and coworkers 22, 23 used a fuzzy logic algorithm that could learn from experience to control the administration of neuromuscular blockade during surgery. Fuzzy logic was introduced by zadeh in the 1960s 8, 1012 this requires an intuitive, or nonexplicit weighting of variand is now well established as an engineering discipline 1214. Fuzzy logic based smart anaesthesia monitoring system in the.

Denning anesthetic depth using multiple noxious stimuli during isofluraneoxygen anesthesia. Worlds best powerpoint templates crystalgraphics offers more powerpoint templates than anyone else in the world, with over 4 million to choose from. The corresponding values for the remainder of the operation were 78. Isoflurane is an anesthetic drug administered through a vaporizer based system. Fuzzy logic, a novel approach to feedback control, was used to control arterial pressure in 10 patients during intra abdominal.

Calculation of necessity indices by fuzzylike logic. Fuzzy logic reasoning, a powerful new form of information processing, will be employed to infer depth of anaesthesia from online measurements of cerebral activity eeg and cardiovascular. From the general point of view, this book possesses the following features. The higher the pressure the harder the heart has to pump. Journal of medical and biological engineering, 305. Fuzzy logic regulation of nicardipine infusion abstract. Physiciandirected versus computerized closedloop control o. Performance analysis of extracted rulebase multivariable. A fuzzy logic controller is based on fuzzy logic and constitutes a way of converting a linguistic control strategy into. Although hypertension has always been a high risk factor during anesthesia and surgery, risk can be reduced by preoperative control of blood pressure, evaluation of the patient to determine risk factors that can exacerbate blood pressure rises, and continuation of preoperative antihypertensive therapy. Pdf a fuzzy logic controller that controls mean arterial pressure map, which is taken as a parameter for depth of anesthesia during surgery.

In one study, during minimal flow anaesthesia, fuzzylogic control of inspired. Fuzzy logic control of child blood pressure during anesthesia. Fuzzy logic control of blood pressure during anesthesia. Research article performance analysis of extracted rulebase. Chart and diagram slides for powerpoint beautifully designed chart and diagram s for powerpoint with visually stunning graphics and animation effects. Must be purchased separately 8set memory measurements recall.