Abstract
Arthritis is an acute systemic disease of a joint accompanied by pain. In developed countries, it mainly causes disability among people over 50 years of age. Rheumatoid Arthritis is a type of arthritis that occurs commonly among elders. The incidence of arthritis is higher in females than in males. There is no permanent diagnosis method for arthritis, but if it was identified in the early stages based on the foot pressure, it can be diagnosed before attaining the critical stage of Rheumatoid Arthritis. The analysis and study of arthritis patients were done using design thinking methodology. Design thinking is a problem-solving methodology that is used to find a solution for the identification of the early stage of arthritis. This process consists of five stages follows Empathy, Define, Ideate, Prototype, and Testing. To define the problem statement, the Empathy was done with the arthritis patients to know the difficulties faced by them. This paper proposes a measurement technique of early measurement of arthritis using a non-invasive technique. It helps us to detect arthritis using a foot pressure pad that was designed with piezoresistive material and the feature classification was done using Weka.
Highlights
There is no permanent diagnosis method for arthritis, but if it was identified in the early stages based on the foot pressure, it can be diagnosed before attaining the critical stage of Rheumatoid Arthritis
From the graphical representation of resistance responses, it is clearly stated that the size of the sensing area does not affect the sensor performance
Based on the size of the sensors the pressure pad was designed in the form of 16x16 matrixes which consists of 256 sensors
Summary
The most common symptoms of arthritis are joint pain, swelling, and stiffness. It can cause permanent changes in the joints and it is usually visible in radiography (x-rays) and Magnetic Resonance Imaging (MRI) scans. Arthritis can be identified in the earlier stage some interventions can be done to slow down the permanent joint changes. After defining the problem statement, in the ideation part, five different algorithms were proposed using Machine learning to classify the foot pressure images using a piezoresistive-based pressure pad. In this approach, velostat film is used in the pressure pad design and gives a better piezoresistive performance. The main objective of detecting early stage of arthritis may achieved by designed foot pressure pad using machine learning algorithm
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