Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: To extract rabbit somatosensory evoked potentials (SEP), by using a new technique named independent component analysis.
Method: The rabbit was narcotized and stimulated with 0.5 Hz electric pulse. Potentials at scalp was sampled at 3764 Hz. Response signals to repeated stimulations for 3 times mixed with background noise was acquired at the same collection point. Independent component analysis (ICA) for SEP was established. The mixed signals were decomposed by ICA to observe the independent components.
Result: Independent SEP was acquired.
Conclusion: A time lag of continuous signal source is suitable to SEP model. ICA can extract signals of SEP components.
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