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http://scihub22266oqcxt.onion/ C4674077!4674077 !26658426     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26658426 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Am+J+Electroneurodiagnostic+Technol 2010 ; 50 (2 ): 133-147 Nephropedia Template TP {{tp|p=26658426 |t=2010. Seizure Detection Software Used to Complement the Visual Screening Process for Long-Term EEG Monitoring |pdf=|usr=}}{{26658426 }} gab.com Text Seizure Detection Software Used to Complement the Visual Screening Process for Long-Term EEG Monitoring JO: Am J Electroneurodiagnostic Technol http://www.kidney.de/pget.php?&tw=1&pmid=26658426 #FOAvip It is widely recognized that visual screening of long-term EEG recordings can be time-consuming and labor-intensive due to the large volume of patient data produced daily in most Epilepsy Monitoring Units (EMUs). As a result, seizures, especially those with only electrographic changes, are sometimes overlooked, which for some patients could result in missed information for diagnosis, an unnecessarily prolonged hospital stay, and unavailable EMU beds for others. In this report, we propose that a better solution for identifying seizures in long-term EEG recording is to combine detection results from a reliable (high sensitivity and low false detection rate) automated detection system with EEG technologists' visual screening process. Using commercially available detection software, we present case studies that demonstrate potential benefits of this method that could help improve detection rates and bring greater efficiency to the seizure identification process in long-term EEG monitoring. Twit Text FOAVip Seizure Detection Software Used to Complement the Visual Screening Process for Long-Term EEG Monitoring ????Am J Electroneurodiagnostic Technol http://www.kidney.de/pget.php?&tw=1&pmid=26658426 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26658426 #FOAvip English Wikipedia <ref>{{Cite pmid|26658426 }}</ref> Seizure Detection Software Used to Complement the Visual Screening Process for Long-Term EEG Monitoring #MMPMID26658426 Halford JJ ; Shiau DS ; Kern RT ; Stroman CA ; Kelly KM ; Sackellares JC Am J Electroneurodiagnostic Technol 2010[]; 50 (2 ): 133-147 PMID26658426 show ga It is widely recognized that visual screening of long-term EEG recordings can be time-consuming and labor-intensive due to the large volume of patient data produced daily in most Epilepsy Monitoring Units (EMUs). As a result, seizures, especially those with only electrographic changes, are sometimes overlooked, which for some patients could result in missed information for diagnosis, an unnecessarily prolonged hospital stay, and unavailable EMU beds for others. In this report, we propose that a better solution for identifying seizures in long-term EEG recording is to combine detection results from a reliable (high sensitivity and low false detection rate) automated detection system with EEG technologists' visual screening process. Using commercially available detection software, we present case studies that demonstrate potential benefits of this method that could help improve detection rates and bring greater efficiency to the seizure identification process in long-term EEG monitoring. äSeizure Detection Software Used to Complement the Visual Screening Pro(epmc).pdf DeepDyve Pubget Overpricing