Classification of fibromyalgia syndrome by using fuzzy logic method

Arslan, Evren; Yıldız, Sedat; Köklükaya, Etem; Albayrak, Yalçın

doi:10.1109/biyomut.2010.5479745

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…If the object is member of cluster which expressed with "1", otherwise with "0". In fuzzy logic every object has a degree of membership, and this degree is between 0 and 1 [18,19]. In this part we will discuss experimental results in different methods.…”

Section: Fuzzy Logic In Interval Framesmentioning

confidence: 99%

Fuzzy Logic-Based Scenario Recognition from Video Sequences

Elbaşi

2013

Journal of Applied Research and Technology

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In recent years, video surveillance and monitoring have gained importance because of security and safety concerns. Banks, borders, airports, stores, and parking areas are the important application areas. There are two main parts in scenario recognition: Low level processing, including moving object detection and object tracking, and feature extraction. We have developed new features through this work which are RUD (relative upper density), RMD (relative middle density) and RLD (relative lower density), and we have used other features such as aspect ratio, width, height, and color of the object. High level processing, including event start-end point detection, activity detection for each frame and scenario recognition for sequence of images. This part is the focus of our research, and different pattern recognition and classification methods are implemented and experimental results are analyzed. We looked into several methods of classification which are decision tree, frequency domain classification, neural network-based classification, Bayes classifier, and pattern recognition methods, which are control charts, and hidden Markov models. The control chart approach, which is a decision methodology, gives more promising results than other methodologies. Overlapping between events is one of the problems, hence we applied fuzzy logic technique to solve this problem. After using this method the total accuracy increased from 95.6 to 97.2.

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Section: Fuzzy Logic In Interval Framesmentioning

confidence: 99%

Fuzzy Logic-Based Scenario Recognition from Video Sequences

Elbaşi

2013

Journal of Applied Research and Technology

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“…Arslan et al [10] proposed a classification of FM by using the method of fuzzy logic, considering the diagnostic criteria of the American College of Rheumatology (ACR) as reference. Hannula et al [11] assessed the physiological behavior of healthy and FM subjects by using Frequency Analysis Method (FAM) and neural networks, along with Self -Organizing Map (SOM). Solms et al [12] used neural network as diagnostic tool for chronic fatigue syndrome.…”

Section: Introductionmentioning

confidence: 99%

Characterization and diagnosis of fibromyalgia based on fatigue analysis with sEMG signals

Sarmiento

Bastos

Botti

et al. 2012

2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC)

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Fibromyalgia (FM) is a chronic musculoskeletal disturbance that poses major challenges for diagnostic procedures. It is marked by a constellation of symptoms, such as widespread pain, chronic fatigue, sleep disturbances, osteoarthritis, among others. This work is a pilot study that aims to validate a diagnostic tool by analyzing sEMG signals of specific muscles during the performance of isotonic tasks. This work is a pilot study that aims to validate a diagnostic protocol with people affected by fibromyalgia. The objective was to indentify the behavior of five fatigue indicators: RMS, ARV, MNF, MDF and IAF, at 30%, 60% and 80% of MCV with a cutoff parameter k of 60%.

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A Review on Role of Fuzzy Logic in Psychology

Srivastava

Pant

2016

Advances in Intelligent Systems and Computing

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Classification of fibromyalgia syndrome by using fuzzy logic method

Cited by 5 publications

References 8 publications

Fuzzy Logic-Based Scenario Recognition from Video Sequences

Fuzzy Logic-Based Scenario Recognition from Video Sequences

Characterization and diagnosis of fibromyalgia based on fatigue analysis with sEMG signals

A Review on Role of Fuzzy Logic in Psychology

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