Machine Learning for Supporting Diagnosis of Amyotrophic Lateral Sclerosis Using Surface Electromyogram
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: 2014DOI: 10.1109/TNSRE.2013.2274658
Keyword(s): diseases,electromyography,feature extraction,learning (artificial intelligence),medical signal processing,neurophysiology,sensitivity,signal classification,statistical analysis,EMG amplitude histogram kurtosis,EMG crossing-rate expansion kurtosis,amyotrophic lateral sclerosis diagnosis,clinical neurophysiology,clustering index,diagnostic markers,diagnostic sensitivity,diagnostic specificity,input feature sets,linear discriminant analysis classifier,machine learning,needle ele
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Machine Learning for Supporting Diagnosis of Amyotrophic Lateral Sclerosis Using Surface Electromyogram
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| contributor author | Xu Zhang | |
| contributor author | Barkhaus, Paul E. | |
| contributor author | Rymer, William Z. | |
| contributor author | Ping Zhou | |
| date accessioned | 2020-03-12T18:27:11Z | |
| date available | 2020-03-12T18:27:11Z | |
| date issued | 2014 | |
| identifier issn | 1534-4320 | |
| identifier other | 6587612.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/958999?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Machine Learning for Supporting Diagnosis of Amyotrophic Lateral Sclerosis Using Surface Electromyogram | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7991509 | |
| subject keywords | diseases | |
| subject keywords | electromyography | |
| subject keywords | feature extraction | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | medical signal processing | |
| subject keywords | neurophysiology | |
| subject keywords | sensitivity | |
| subject keywords | signal classification | |
| subject keywords | statistical analysis | |
| subject keywords | EMG amplitude histogram kurtosis | |
| subject keywords | EMG crossing-rate expansion kurtosis | |
| subject keywords | amyotrophic lateral sclerosis diagnosis | |
| subject keywords | clinical neurophysiology | |
| subject keywords | clustering index | |
| subject keywords | diagnostic markers | |
| subject keywords | diagnostic sensitivity | |
| subject keywords | diagnostic specificity | |
| subject keywords | input feature sets | |
| subject keywords | linear discriminant analysis classifier | |
| subject keywords | machine learning | |
| subject keywords | needle ele | |
| identifier doi | 10.1109/TNSRE.2013.2274658 | |
| journal title | Neural Systems and Rehabilitation Engineering, IEEE Transactions on | |
| journal volume | 22 | |
| journal issue | 1 | |
| filesize | 1180485 | |
| citations | 0 |