Electroencephalography features enhancement based on electrodes activity ratio for biometric identification
| Main Author: | Albasri, Ahmed |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/v4f2nnc8sn |
| ctrlnum |
0.17632-v4f2nnc8sn.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Albasri, Ahmed</creator><title>Electroencephalography features enhancement based on electrodes activity ratio for biometric identification</title><publisher>Mendeley</publisher><description>this data contains the Matlab codes required to regenerate experiments for person identification using EEG signals acquired from publicly available raw edf. files for 109 subject with 6 different tasks, the raw files could be found here https://physionet.org/pn4/eegmmidb/. the codes help to process the raw data till final classification accuracy results. Further, all processed tables for all experiments are provided.</description><subject>Electroencephalography</subject><type>Other:Dataset</type><identifier>10.17632/v4f2nnc8sn.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/v4f2nnc8sn</relation><date>2019-06-17T17:06:38Z</date><recordID>0.17632-v4f2nnc8sn.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Albasri, Ahmed |
| title |
Electroencephalography features enhancement based on electrodes activity ratio for biometric identification |
| publisher |
Mendeley |
| publishDate |
2019 |
| topic |
Electroencephalography |
| url |
https:/data.mendeley.com/datasets/v4f2nnc8sn |
| contents |
this data contains the Matlab codes required to regenerate experiments for person identification using EEG signals acquired from publicly available raw edf. files for 109 subject with 6 different tasks, the raw files could be found here https://physionet.org/pn4/eegmmidb/. the codes help to process the raw data till final classification accuracy results. Further, all processed tables for all experiments are provided. |
| id |
IOS7969.0.17632-v4f2nnc8sn.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:14:59Z |
| last_indexed |
2020-04-08T08:14:59Z |
| recordtype |
dc |
| _version_ |
1686587407986589696 |
| score |
17.538404 |