Abstract
Internet of multimedia things (IoMT) driving innovative product development in health care applications. IoMT requires delay-sensitive and higher bandwidth devices. Ultra-wideband (UWB) technology is a promising solution to improve communication between devices, tracking and monitoring of patients. In the future, this technology has the capability to expand the IoMT world with new capabilities and more devices can be integrated. At the present time, some people face different types of physiological problems because of the damage in different areas of the central nervous system. Thus, they lose their balance coordination. One of these types of coordination problems is named Ataxia, in which patients are unable to control their body movements. This kind of coordination disorder needs a proper supervision system for the caretaker. Previous Ataxia assessment methods are cumbersome and cannot handle regular monitoring and tracking of patients. One of the most challenging tasks is to detect different walking abnormalities of Ataxia patients. In our paper, we present a technique for monitoring and tracking of a patient with the help of UWB technology. This method expands the real-time location systems (RTLS) in the indoor environment by placing wearable receiving tags on the body of Ataxia patients. The location and four different walking movement data are collected by UWB transceiver for the classification and prediction in the two-dimensional path. For accurate classification, we use a support vector machine (SVM) algorithm to clarify the movement variations. Our proposed examined result successfully achieved and the accuracy is above 95%.
Highlights
The exponential growth of applications in the internet of multimedia things (IoMT) requires higher bandwidth technology especially regular monitoring of patients [1,2]
We separated the dataset into testing and training proportion and each proportion behaves as a section which is shown below: Considering Table 1 for all the activities, we used support vector machine (SVM) to classify the data to find the abnormality of the walk
There are several sensor devices that are produced to use in IoMT but we focused on UWB technology because of its accuracy and higher bandwidth
Summary
The exponential growth of applications in the internet of multimedia things (IoMT) requires higher bandwidth technology especially regular monitoring of patients [1,2]. Technology is one of the solutions for higher bandwidth challenges. It has continuous tracking and monitoring ability [3]. UWB technology is used to monitor the Ataxia patients. Patients need to check their movements especially walking movements is important. When they walk, sometimes they feel confused about taking a step. Clinically it is difficult to find out the particular problem of the Ataxia patients and more challenging work to monitoring the movements.
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