Detection of Essential Tremor at the $S$ -Band
Essential tremor (ET) is a neurological disorder characterized by rhythmic, involuntary shaking of a part or parts of the body. The most common tremor is seen in the hands/arms and fingers. This paper presents an evaluation of ETs monitoring based on finger-to-nose test measurement as captured by sm...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Journal of Translational Engineering in Health and Medicine |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8268080/ |
| _version_ | 1818844710252314624 |
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| author | Xiaodong Yang Syed Aziz Shah Aifeng Ren Dou Fan Nan Zhao Dongjian Cao Fangming Hu Masood Ur Rehman Weigang Wang Karen M. Von Deneen Jie Tian |
| author_facet | Xiaodong Yang Syed Aziz Shah Aifeng Ren Dou Fan Nan Zhao Dongjian Cao Fangming Hu Masood Ur Rehman Weigang Wang Karen M. Von Deneen Jie Tian |
| author_sort | Xiaodong Yang |
| collection | DOAJ |
| description | Essential tremor (ET) is a neurological disorder characterized by rhythmic, involuntary shaking of a part or parts of the body. The most common tremor is seen in the hands/arms and fingers. This paper presents an evaluation of ETs monitoring based on finger-to-nose test measurement as captured by small wireless devices working in shortwave or S-band frequency range. The acquired signals in terms of amplitude and phase information are used to detect a tremor in the hands. Linearly transforming raw phase data acquired in the S-band were carried out for calibrating the phase information and to improve accuracy. The data samples are used for classification using support vector machine algorithm. This model is used to differentiate the tremor and nontremor data efficiently based on secondary features that characterize ET. The accuracy of our measurements maintains linearity, and more than 90% accuracy rate is achieved between the feature set and data samples. |
| first_indexed | 2024-12-19T05:18:05Z |
| format | Article |
| id | doaj.art-99e93109a70a4153a8df9d247c1e5afc |
| institution | Directory Open Access Journal |
| issn | 2168-2372 |
| language | English |
| last_indexed | 2024-12-19T05:18:05Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Translational Engineering in Health and Medicine |
| spelling | doaj.art-99e93109a70a4153a8df9d247c1e5afc2022-12-21T20:34:35ZengIEEEIEEE Journal of Translational Engineering in Health and Medicine2168-23722018-01-0161710.1109/JTEHM.2017.27892988268080Detection of Essential Tremor at the $S$ -BandXiaodong Yang0https://orcid.org/0000-0002-4701-1204Syed Aziz Shah1Aifeng Ren2Dou Fan3https://orcid.org/0000-0002-5869-8152Nan Zhao4https://orcid.org/0000-0002-5353-0158Dongjian Cao5Fangming Hu6Masood Ur Rehman7https://orcid.org/0000-0001-6926-7983Weigang Wang8Karen M. Von Deneen9https://orcid.org/0000-0002-5310-1003Jie Tian10School of Electronic Engineering, Xidian University, Xi’an, ChinaSchool of Life Science and Technology and School of International Education, Xidian University, Xi’an, ChinaSchool of Electronic Engineering, Xidian University, Xi’an, ChinaSchool of Electronic Engineering, Xidian University, Xi’an, ChinaSchool of Electronic Engineering, Xidian University, Xi’an, ChinaSchool of Electronic Engineering, Xidian University, Xi’an, ChinaSchool of Electronic Engineering, Xidian University, Xi’an, ChinaSchool of Computer Science and Technology, University of Bedfordshire, Luton, U.K.Northwest Women’s and Children’s Hospital, Xi’an Jiaotong University, Xi’an, ChinaSchool of Life Science and Technology, Xidian University, Xi’an, ChinaSchool of Life Science and Technology, Xidian University, Xi’an, ChinaEssential tremor (ET) is a neurological disorder characterized by rhythmic, involuntary shaking of a part or parts of the body. The most common tremor is seen in the hands/arms and fingers. This paper presents an evaluation of ETs monitoring based on finger-to-nose test measurement as captured by small wireless devices working in shortwave or S-band frequency range. The acquired signals in terms of amplitude and phase information are used to detect a tremor in the hands. Linearly transforming raw phase data acquired in the S-band were carried out for calibrating the phase information and to improve accuracy. The data samples are used for classification using support vector machine algorithm. This model is used to differentiate the tremor and nontremor data efficiently based on secondary features that characterize ET. The accuracy of our measurements maintains linearity, and more than 90% accuracy rate is achieved between the feature set and data samples.https://ieeexplore.ieee.org/document/8268080/<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">S</italic>-band sensing techniqueessential tremorbiomedical engineering |
| spellingShingle | Xiaodong Yang Syed Aziz Shah Aifeng Ren Dou Fan Nan Zhao Dongjian Cao Fangming Hu Masood Ur Rehman Weigang Wang Karen M. Von Deneen Jie Tian Detection of Essential Tremor at the $S$ -Band IEEE Journal of Translational Engineering in Health and Medicine <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">S</italic>-band sensing technique essential tremor biomedical engineering |
| title | Detection of Essential Tremor at the $S$ -Band |
| title_full | Detection of Essential Tremor at the $S$ -Band |
| title_fullStr | Detection of Essential Tremor at the $S$ -Band |
| title_full_unstemmed | Detection of Essential Tremor at the $S$ -Band |
| title_short | Detection of Essential Tremor at the $S$ -Band |
| title_sort | detection of essential tremor at the s band |
| topic | <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">S</italic>-band sensing technique essential tremor biomedical engineering |
| url | https://ieeexplore.ieee.org/document/8268080/ |
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