Recognition of motor imagery of hand movements for a BMI using PCA features
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| 言語: | English |
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Institute of Electrical and Electronics Engineering (IEEE)
2009
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my.unimap-73942009-12-11T04:12:10Z Recognition of motor imagery of hand movements for a BMI using PCA features Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Sazali, Yaacob Abd Hamid, Adom Ramachandran, Nagarajan hema@unimap.edu.my Biology computing Brain-computer interfaces Electroencephalography Medical image processing Neuromuscular stimulation Brain machine interfaces EEG Link to publisher's homepage at http://ieeexplore.ieee.org Motor imagery is the mental simulation of a motor act that includes preparation for movement and mental operations of motor representations implicitly or explicitly. The ability of an individual to control his EEG through imaginary mental tasks enables him to control devices through a brain machine interfaces (BMI). In other words a BMI can be used to rehabilitate people suffering from neuromuscular disorders as a means of communication or control. This paper presents a novel approach in the design of a four state BMI using two electrodes. The BMI is designed using Neural Network Classifiers. The performance of the BMI is evaluated using two network architectures. The performance of the proposed algorithm has an average classification efficiency of 93.5%. 2009-12-10T03:45:53Z 2009-12-10T03:45:53Z 2008-12-01 Working Paper p.1-4 978-1-4244-2315-6 http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4786683 http://hdl.handle.net/123456789/7394 en Proceedings of the International Conference on Electronic Design (ICED 2008) Institute of Electrical and Electronics Engineering (IEEE) |
| institution |
Universiti Malaysia Perlis |
| building |
UniMAP Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
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Universiti Malaysia Perlis |
| content_source |
UniMAP Library Digital Repository |
| url_provider |
http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Biology computing Brain-computer interfaces Electroencephalography Medical image processing Neuromuscular stimulation Brain machine interfaces EEG |
| spellingShingle |
Biology computing Brain-computer interfaces Electroencephalography Medical image processing Neuromuscular stimulation Brain machine interfaces EEG Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Sazali, Yaacob Abd Hamid, Adom Ramachandran, Nagarajan Recognition of motor imagery of hand movements for a BMI using PCA features |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org |
| author2 |
hema@unimap.edu.my |
| author_facet |
hema@unimap.edu.my Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Sazali, Yaacob Abd Hamid, Adom Ramachandran, Nagarajan |
| format |
Working Paper |
| author |
Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Sazali, Yaacob Abd Hamid, Adom Ramachandran, Nagarajan |
| author_sort |
Hema, Chengalvarayan Radhakrishnamurthy |
| title |
Recognition of motor imagery of hand movements for a BMI using PCA features |
| title_short |
Recognition of motor imagery of hand movements for a BMI using PCA features |
| title_full |
Recognition of motor imagery of hand movements for a BMI using PCA features |
| title_fullStr |
Recognition of motor imagery of hand movements for a BMI using PCA features |
| title_full_unstemmed |
Recognition of motor imagery of hand movements for a BMI using PCA features |
| title_sort |
recognition of motor imagery of hand movements for a bmi using pca features |
| publisher |
Institute of Electrical and Electronics Engineering (IEEE) |
| publishDate |
2009 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/7394 |
| _version_ |
1643788802643197952 |
| score |
13.251813 |