A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions
In recent years, there has been major interest in the exposure to physical therapy during rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and human machine interface (HMI) applications. An automated system will guide the user to perform the training during r...
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MDPI AG
2016-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/8/1304 |
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| author | Nurhazimah Nazmi Mohd Azizi Abdul Rahman Shin-Ichiroh Yamamoto Siti Anom Ahmad Hairi Zamzuri Saiful Amri Mazlan |
| author_facet | Nurhazimah Nazmi Mohd Azizi Abdul Rahman Shin-Ichiroh Yamamoto Siti Anom Ahmad Hairi Zamzuri Saiful Amri Mazlan |
| author_sort | Nurhazimah Nazmi |
| collection | DOAJ |
| description | In recent years, there has been major interest in the exposure to physical therapy during rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and human machine interface (HMI) applications. An automated system will guide the user to perform the training during rehabilitation independently. Advances in engineering have extended electromyography (EMG) beyond the traditional diagnostic applications to also include applications in diverse areas such as movement analysis. This paper gives an overview of the numerous methods available to recognize motion patterns of EMG signals for both isotonic and isometric contractions. Various signal analysis methods are compared by illustrating their applicability in real-time settings. This paper will be of interest to researchers who would like to select the most appropriate methodology in classifying motion patterns, especially during different types of contractions. For feature extraction, the probability density function (PDF) of EMG signals will be the main interest of this study. Following that, a brief explanation of the different methods for pre-processing, feature extraction and classifying EMG signals will be compared in terms of their performance. The crux of this paper is to review the most recent developments and research studies related to the issues mentioned above. |
| first_indexed | 2024-04-14T02:13:58Z |
| format | Article |
| id | doaj.art-0d8a2081f62d446d8f6faacc35b59e8e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T02:13:58Z |
| publishDate | 2016-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-0d8a2081f62d446d8f6faacc35b59e8e2022-12-22T02:18:16ZengMDPI AGSensors1424-82202016-08-01168130410.3390/s16081304s16081304A Review of Classification Techniques of EMG Signals during Isotonic and Isometric ContractionsNurhazimah Nazmi0Mohd Azizi Abdul Rahman1Shin-Ichiroh Yamamoto2Siti Anom Ahmad3Hairi Zamzuri4Saiful Amri Mazlan5Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, MalaysiaMalaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, MalaysiaDepartment of Bio-Science and Engineering, College of Systems Engineering and Science, Shibaura Institute of Technology, Fukasaku 307, Saitama-City 337-8570, JapanDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, MalaysiaMalaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, MalaysiaMalaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, MalaysiaIn recent years, there has been major interest in the exposure to physical therapy during rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and human machine interface (HMI) applications. An automated system will guide the user to perform the training during rehabilitation independently. Advances in engineering have extended electromyography (EMG) beyond the traditional diagnostic applications to also include applications in diverse areas such as movement analysis. This paper gives an overview of the numerous methods available to recognize motion patterns of EMG signals for both isotonic and isometric contractions. Various signal analysis methods are compared by illustrating their applicability in real-time settings. This paper will be of interest to researchers who would like to select the most appropriate methodology in classifying motion patterns, especially during different types of contractions. For feature extraction, the probability density function (PDF) of EMG signals will be the main interest of this study. Following that, a brief explanation of the different methods for pre-processing, feature extraction and classifying EMG signals will be compared in terms of their performance. The crux of this paper is to review the most recent developments and research studies related to the issues mentioned above.http://www.mdpi.com/1424-8220/16/8/1304EMG signalsisotonic contractionsisometric contractionsfeature extractionsclassificationsprobability density functions |
| spellingShingle | Nurhazimah Nazmi Mohd Azizi Abdul Rahman Shin-Ichiroh Yamamoto Siti Anom Ahmad Hairi Zamzuri Saiful Amri Mazlan A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions Sensors EMG signals isotonic contractions isometric contractions feature extractions classifications probability density functions |
| title | A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions |
| title_full | A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions |
| title_fullStr | A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions |
| title_full_unstemmed | A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions |
| title_short | A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions |
| title_sort | review of classification techniques of emg signals during isotonic and isometric contractions |
| topic | EMG signals isotonic contractions isometric contractions feature extractions classifications probability density functions |
| url | http://www.mdpi.com/1424-8220/16/8/1304 |
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