| date accessioned | 2020-03-12T20:55:43Z | |
| date available | 2020-03-12T20:55:43Z | |
| date issued | 2014 | |
| identifier other | 6913840.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1030744?show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | High-accuracy recognition of muscle activation patterns using a hierarchical classifier | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8156174 | |
| subject keywords | Current density | |
| subject keywords | Etching | |
| subject keywords | Shape | |
| subject keywords | Silicon | |
| subject keywords | Thyristors | |
| subject keywords | Concentration | |
| subject keywords | Dopant | |
| subject keywords | N-Type Silicon | |
| subject keywords | Porous | |
| identifier doi | 10.1109/ICP.2014.7002308 | |
| journal title | iomedical Robotics and Biomechatronics (2014 5th IEEE RAS & EMBS International Conference on | |
| filesize | 397665 | |
| citations | 0 | |
| contributor rawauthor | Rivera, Luis A. , Smith, Nicholas R. , DeSouza, Guilherme N. | |
