A Diagnostic System Based on Fuzzy Logic for Clinical Examination of Patients in Ayurveda

2018 ◽  
pp. 757-771
Author(s):  
Ranjit Kaur ◽  
Kamaldeep Kaur
Keyword(s):  
Fuzzy Logic ◽  
Clinical Examination ◽  
Diagnostic System

scholarly journals Diabetic Retinopathy Diagnosing using Fuzzy Image Processing

2020 ◽  
Vol 8 (6) ◽  
pp. 4210-4215
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Diabetic Retinopathy ◽  
Expert System ◽  
Diagnostic System ◽  
Diabetic Patients ◽  
Input Output ◽  
Fuzzy Image ◽  
Retina Images ◽  
Oct Image

Aim: To design diagnostic expert system using fuzzy image processing for diabetic retinopathy, measures diabetic eye morbidity. Method: From this research paper, diagnosing diabetic retinopathy using fuzzy image processing for diabetic patients. Firstly collection of OCT images of the patient who has diabetic retinopathy. Author’s proposed method finds out the edge detection of the OCT image. Then fuzzy logic is applied on that result of image processing. Design a fuzzy rules and input- output parameter. This method gives accurate diagnosing the diabetic retinopathy from the image of the patient’s retina images. Result: This diagnostic system gives patient’s eye morbidity, vision threatening of the diabetic patients. In the result, edges of the retina images, and from that retinal ruptures, thickness of the proliferative in the retina. From these result, diagnostic of diabetic retinopathy conditions such as PDR, NPDR, and NORMAL, and CSME in the diabetic patients. Conclusion: author has design diagnostic system for endocrinologist and ophthalmology to diagnosed diabetic retinopathy in the patients. From this system doctors don’t need patients for diagnosing purposed.

Intelligent, Energy Saving Power Supply and Control System of Hoisting Mine Machine with Compact and Hybrid Drive System / Inteligentne, Energooszczędne Układy Zasilania I Sterowania Górniczych Maszyn Wyciągowych Z Napędem Zintegrowanym Lub Hybrydowym

2015 ◽  
Vol 60 (1) ◽  
pp. 239-251
Author(s):  
Zygmunt Szymański
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Diagnostic System ◽  
Supply System ◽  
Drive System ◽  
Control Algorithms ◽  
Automation System ◽  
Neural Net ◽  
Hybrid Drive ◽  
Intelligent Control System

Abstract In the paper present’s an analysis of suitableness an application of compact and hybrid drive system in hoisting machine. In the paper presented the review of constructional solutions of hoisting machines drive system, driving with AC and DC motor. In the paper presented conception of modern, energy sparing hoisting machine supply system, composed with compact motor, an supplied with transistor or thyristor converter supply system, and intelligent control system composed with multilevel microprocessor controller. In the paper present’s also analysis of suitableness application an selected method of artificial intelligent in hoisting machine control system, automation system, and modern diagnostic system. In the paper one limited to analysis of: fuzzy logic method, genetic algorithms method, and modern neural net II and III generation. That method enables realization of complex control algorithms of hosting machine with insurance of energy sparing exploitation conditions, monitoring of exploitation parameters, and prediction diagnostic of hoisting machine technical state, minimization a number of failure states. In the paper present’s a conception of control and diagnostic system of the hoisting machine based on fuzzy logic neural set control. In the chapter presented also a selected control algorithms and results of computer simulations realized for particular mathematical models of hoisting machine. Results of theoretical investigation were partly verified in laboratory and industrial experiments.

Knowledge-based control and case-based diagnosis based upon empirical knowledge and fuzzy logic for the SBR plant

2006 ◽  
Vol 53 (1) ◽  
pp. 217-224 ◽  
Author(s):  
H. Bae ◽  
H.Y. Seo ◽  
S. Kim ◽  
Y. Kim
Keyword(s):  
Fuzzy Logic ◽  
Loading Rate ◽  
Diagnostic System ◽  
Ammonia Concentration ◽  
Optimal Operation ◽  
Stable Operation ◽  
Empirical Knowledge ◽  
The Past ◽  
Knowledge Based ◽  
Case Based

Because biological wastewater treatment plants (WWTPs) involve a long time-delay and various disturbances, in general, skilled operators manually control the plant based on empirical knowledge. And operators usually diagnose the plant using similar cases experienced in the past. For the effective management of the plant, system automation has to be accomplished based upon operating recipes. This paper introduces automatic control and diagnosis based upon the operator's knowledge. Fuzzy logic was employed to design this knowledge-based controller because fuzzy logic can convert the linguistic information to rules. The controller can manage the influent and external carbon in considering the loading rate. The input of the controller is not the loading rate but the dissolved oxygen (DO) lag-time, which has a strong relation to the loading rate. This approach can replace an expensive sensor, which measures the loading rate and ammonia concentration in the reactor, with a cheaper DO sensor. The proposed controller can assure optimal operation and prevent the over-feeding problem. Case-based diagnosis was achieved by the analysis of profile patterns collected from the past. A new test profile was diagnosed by comparing it with template patterns containing normal and abnormal cases. The proposed control and diagnostic system will guarantee the effective and stable operation of WWTPs.

A Study on Multi Fault Diagnostics of Smart Unmanned Aerial Vehicle Propulsion System Using Data Sorting and Neural Networks

2008 ◽  
Author(s):  
Changduk Kong ◽  
Seonghee Kho ◽  
Jayoung Ki ◽  
Changho Lee
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Diagnostic System ◽  
Diagnostic Algorithm ◽  
Propulsion System ◽  
Performance Simulation ◽  
Network Algorithms ◽  
The Neural Network ◽  
Aerial Vehicle ◽  
Using Data

The types and severities of most engine faults are so complex that it is not easy for a conventional model based fault diagnosis approach like the GPA (Gas Path Analysis) method be used to monitor all engine fault conditions. This study therefore discusses on the newly proposed diagnostic algorithm for isolating and effectively identifying the faulted components of the smart UAV propulsion system, that has been developed by KARI (Korea Aerospace Research Institute) based on the fuzzy logic and the neural network algorithms. The diagnosis procedure of the proposed diagnostic system has the following steps. First obtaining database of fault patterns through performance simulation, followed by training the database using the FFBP networks. The third step involve analyzing the trend of the measured parameters due to fault patterns, linked to this is the fourth step that involve isolating the faulty components using fuzzy logic, and finally the magnitudes of the detected faults are obtained by the trained neural networks. The analysis showed that the detected faults had almost same degradation values to those of the implanted fault pattern, confirming that the proposed diagnostic system can be used to effectively detect the engine faults.

scholarly journals Limitations of automated computer electrocardiogram analysis

2012 ◽  
Vol 93 (4) ◽  
pp. 687-691 ◽  
Author(s):  
V N Oslopov ◽  
A R Sadykova ◽  
T S Fedoseeva
Keyword(s):  
Heart Disease ◽  
Clinical Examination ◽  
Clinical Picture ◽  
Diagnostic System ◽  
Careful Analysis ◽  
Diagnostic Methods ◽  
Fibrosing Alveolitis ◽  
Bundle Branch Block ◽  
Automatic Analyzer ◽  
Automated Interpretation

Aim. To draw the attention of physicians to the need for careful analysis of electrocardiograms, especially those obtained by using an automatic analyzer, with the obligatory account of the clinical picture of the disease. Methods. Normal electrocardiography, electrocardiography with the usage of a diagnostic system «Valenta», echocardiography, clinical examination of a patient with fibrosing alveolitis. Results. In the patient with fibrosing alveolitis the automatic analyzer of electrocardiograms «Valenta» misinterpreted the 3S-type of the electrocardiogram as a left anterior fascicular bundle branch block, and the doctor-functionalist did not notice the error. Taking into account the clinical picture of disease and monitoring of the dynamics of electrocardiogram the misinterpretation error was corrected. Presented were the arguments for understanding the pathogenesis of changes in the electrocardiogram in a patient with progressive Hamman-Rich disease. Conclusion. Diagnostic algorithms for automated interpretation of the electrocardiogram have limitations in terms of universal recognition of heart disease; the electrocardiogram report, even in the presence of the auto-interpretation, must be a formulated by a physician taking into account both the clinical picture of the disease as well as other diagnostic methods of patient examination.

scholarly journals MAVSCOT: A fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241864
Author(s):  
Olugbenga Oluseun Oluwagbemi ◽  
Folakemi Etseoghena Oluwagbemi ◽  
Abdulwahab Jatto ◽  
Cang Hui
Keyword(s):  
Health Care ◽  
Fuzzy Logic ◽  
Health Care Professionals ◽  
Rural Areas ◽  
Diagnostic System ◽  
Public Health Problem ◽  
Indigenous Communities ◽  
Major Public Health Problem ◽  
Hiv Diagnosis ◽  
Health Care Practitioners

HIV still constitutes a major public health problem in Africa, where the highest incidence and prevalence of the disease can be found in many rural areas, with multiple indigenous languages being used for communication by locals. In many rural areas of the KwaZulu-Natal (KZN) in South Africa, for instance, the most widely used languages include Zulu and Xhosa, with only limited comprehension in English and Afrikaans. Health care practitioners for HIV diagnosis and treatment, often, cannot communicate efficiently with their indigenous ethnic patients. An informatics tool is urgently needed to facilitate these health care professionals for better communication with their patients during HIV diagnosis. Here, we apply fuzzy logic and speech technology and develop a fuzzy logic HIV diagnostic system with indigenous multi-lingual interfaces, named Multi-linguAl HIV indigenouS fuzzy logiC-based diagnOstic sysTem (MAVSCOT). This HIV multilingual informatics software can facilitate the diagnosis in underprivileged rural African communities. We provide examples on how MAVSCOT can be applied towards HIV diagnosis by using existing data from the literature. Compared to other similar tools, MAVSCOT can perform better due to its implementation of the fuzzy logic. We hope MAVSCOT would help health care practitioners working in indigenous communities of many African countries, to efficiently diagnose HIV and ultimately control its transmission.

scholarly journals Telemedical percussion: objectifying a fundamental clinical examination technique for telemedicine

2021 ◽  
Author(s):  
Roman Krumpholz ◽  
Jonas Fuchtmann ◽  
Maximilian Berlet ◽  
Annika Hangleiter ◽  
Daniel Ostler ◽  
...  
Keyword(s):  
Medical Students ◽  
Clinical Examination ◽  
Diagnostic System ◽  
Magnetic Devices ◽  
Digital Version ◽  
Examination Technique ◽  
Medical Evaluation ◽  
End Effectors ◽  
To Come ◽  
The Way

Abstract Purpose While demand for telemedicine is increasing, patients are currently restricted to tele-consultation for the most part. Fundamental diagnostics like the percussion still require the in person expertize of a physician. To meet today’s challenges, a transformation of the manual percussion into a standardized, digital version, ready for telemedical execution is required. Methods In conjunction with a comprehensive telemedical diagnostic system, in which patients can get examined by a remote-physician, a series of three robotic end-effectors for mechanical percussion were developed. Comprising a motor, a magnetic and a pneumatic-based version, the devices strike a pleximeter to perform the percussion. Emitted sounds were captured using a microphone-equipped stethoscope. The 84 recordings were further integrated into a survey in order to classify lung and non-lung samples. Results The study with 21 participants comprised physicians, medical students and non-medical-related raters in equal parts. With 71.4% correctly classified samples, the ventral motorized device prevailed. While the result is significantly better compared to a manual or pneumatic percussion in this very setup, it only has a small edge over the magnetic devices. In addition, for all ventral versions non-lung regions were rather correctly identified than lung regions. Conclusion The overall setup proves the feasibility of a telemedical percussion. Despite the fact, that produced sounds differ compared to today’s manual technique, the study shows that a standardized mechanical percussion has the potential to improve the gold standard’s accuracy. While further extensive medical evaluation is yet to come, the system paves the way for future uncompromised remote examinations.

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