Monitoring Movements of Ataxia Patient by Using UWB Technology
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....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/3/931 |
| _version_ | 1817993457478664192 |
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| author | Tanjila Akter Zilani Fadi Al-Turjman Muhammad Bilal Khan Nan Zhao Xiaodong Yang |
| author_facet | Tanjila Akter Zilani Fadi Al-Turjman Muhammad Bilal Khan Nan Zhao Xiaodong Yang |
| author_sort | Tanjila Akter Zilani |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-04-14T01:40:04Z |
| format | Article |
| id | doaj.art-0c0ba723074a4f2d829f114c2e6a52b0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:40:04Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-0c0ba723074a4f2d829f114c2e6a52b02022-12-22T02:19:48ZengMDPI AGSensors1424-82202020-02-0120393110.3390/s20030931s20030931Monitoring Movements of Ataxia Patient by Using UWB TechnologyTanjila Akter Zilani0Fadi Al-Turjman1Muhammad Bilal Khan2Nan Zhao3Xiaodong Yang4School of Electronic Engineering, Xidian University, Xi’an 710071, ChinaArtificial Intelligence Engineering Department, Near East University, 99138 Nicosia, Mersin 10, TurkeySchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaInternet 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%.https://www.mdpi.com/1424-8220/20/3/931uwbiomtataxiasvm |
| spellingShingle | Tanjila Akter Zilani Fadi Al-Turjman Muhammad Bilal Khan Nan Zhao Xiaodong Yang Monitoring Movements of Ataxia Patient by Using UWB Technology Sensors uwb iomt ataxia svm |
| title | Monitoring Movements of Ataxia Patient by Using UWB Technology |
| title_full | Monitoring Movements of Ataxia Patient by Using UWB Technology |
| title_fullStr | Monitoring Movements of Ataxia Patient by Using UWB Technology |
| title_full_unstemmed | Monitoring Movements of Ataxia Patient by Using UWB Technology |
| title_short | Monitoring Movements of Ataxia Patient by Using UWB Technology |
| title_sort | monitoring movements of ataxia patient by using uwb technology |
| topic | uwb iomt ataxia svm |
| url | https://www.mdpi.com/1424-8220/20/3/931 |
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