Monitoring of Huntington’s Disease Based on Wireless Sensing Technology
Huntington’s disease (HD) is a rare genetic disorder that cannot be cured by current medical techniques. With the development of the disease, the life of patients will become more and more difficult. It is necessary to timely and effectively evaluate the development of the patient̵...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/3/870 |
| _version_ | 1819019769391611904 |
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| author | Qiyu Zhu Lei Guan Muhammad Bilal Khan Xiaodong Yang |
| author_facet | Qiyu Zhu Lei Guan Muhammad Bilal Khan Xiaodong Yang |
| author_sort | Qiyu Zhu |
| collection | DOAJ |
| description | Huntington’s disease (HD) is a rare genetic disorder that cannot be cured by current medical techniques. With the development of the disease, the life of patients will become more and more difficult. It is necessary to timely and effectively evaluate the development of the patient’s condition based on the patient’s clinical symptoms to help doctors to formulate a reasonable and effective treatment plan, alleviate the condition, and improve the quality of life, which reflects humane care. Currently, wearable devices or video surveillance are generally used to monitor the patients, and these schemes have some disadvantages. This paper presents a new method to monitor patients with HD using wireless sensing technology. Firstly, experimental data were collected by the self-developed microwave sensing platform (MSP), and then the data were preprocessed. Finally, support vector machine (SVM) and random forest (RF) algorithms were used to train the model. The MSP system continuously monitors patients in a non-contact way, which will not bring inconvenience to patients’ lives, and will not involve privacy issues. The experimental results show that the prediction accuracy of SVM can be as high as 98.0% and that of RF can be as high as 96.7%, which proves the feasibility of the technical scheme described in this paper. |
| first_indexed | 2024-12-21T03:40:35Z |
| format | Article |
| id | doaj.art-4a2c86e2b20a4c6aa3d9c75b5156c408 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-21T03:40:35Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4a2c86e2b20a4c6aa3d9c75b5156c4082022-12-21T19:17:14ZengMDPI AGApplied Sciences2076-34172020-01-0110387010.3390/app10030870app10030870Monitoring of Huntington’s Disease Based on Wireless Sensing TechnologyQiyu Zhu0Lei Guan1Muhammad Bilal Khan2Xiaodong Yang3School of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Life Science and Technology, Xidian University, Xi’an 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaHuntington’s disease (HD) is a rare genetic disorder that cannot be cured by current medical techniques. With the development of the disease, the life of patients will become more and more difficult. It is necessary to timely and effectively evaluate the development of the patient’s condition based on the patient’s clinical symptoms to help doctors to formulate a reasonable and effective treatment plan, alleviate the condition, and improve the quality of life, which reflects humane care. Currently, wearable devices or video surveillance are generally used to monitor the patients, and these schemes have some disadvantages. This paper presents a new method to monitor patients with HD using wireless sensing technology. Firstly, experimental data were collected by the self-developed microwave sensing platform (MSP), and then the data were preprocessed. Finally, support vector machine (SVM) and random forest (RF) algorithms were used to train the model. The MSP system continuously monitors patients in a non-contact way, which will not bring inconvenience to patients’ lives, and will not involve privacy issues. The experimental results show that the prediction accuracy of SVM can be as high as 98.0% and that of RF can be as high as 96.7%, which proves the feasibility of the technical scheme described in this paper.https://www.mdpi.com/2076-3417/10/3/870hdmsprfsvmwireless sensing technology |
| spellingShingle | Qiyu Zhu Lei Guan Muhammad Bilal Khan Xiaodong Yang Monitoring of Huntington’s Disease Based on Wireless Sensing Technology Applied Sciences hd msp rf svm wireless sensing technology |
| title | Monitoring of Huntington’s Disease Based on Wireless Sensing Technology |
| title_full | Monitoring of Huntington’s Disease Based on Wireless Sensing Technology |
| title_fullStr | Monitoring of Huntington’s Disease Based on Wireless Sensing Technology |
| title_full_unstemmed | Monitoring of Huntington’s Disease Based on Wireless Sensing Technology |
| title_short | Monitoring of Huntington’s Disease Based on Wireless Sensing Technology |
| title_sort | monitoring of huntington s disease based on wireless sensing technology |
| topic | hd msp rf svm wireless sensing technology |
| url | https://www.mdpi.com/2076-3417/10/3/870 |
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