*0011155148
*008120307s2012    xx#           000 0 eng
*019  $bk
*08230$a616.12
*100  $aForberg, Jakob Lundager$4aut$uSkåne University Hospital at Lund, Department of Clinical Sciences, Divisions of Emergency Medicine, Lund, Sweden ; jakob@lundager.eu$_136858500
*245  $aAn artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction
*300  $a[9 sider] : ill.
*500  $aVitenskapelig artikkel
*5208 $aInneholder sammendrag
*650  $aelektrokardiogram (EKG)$9nor$2norart$_136858600
*650  $ahjerteinfarkt$9nor$2norart$_129696400
*650  $aperkutan koronar intervensjon (PCI)$9nor$2norart$_131600800
*650  $aprehospital behandling$9nor$2norart$_128554500
*700  $aBjörk, Jonas;$4aut;$uSkåne University Hospital at Lund, Competence Center for Clinical Research, Sweden$_136858700
*700  $aEdenbrandt, Lars;$4aut;$uSkåne University Hospital at Malmö, Department of Clinical Physiology, Sweden ; Sahlgrenska University Hospital, Department of Clinical Physiology, Gothenburg, Sweden$_136858800
*700  $aEkelund, Ulf$4aut$uSkåne University Hospital at Lund, Department of Clinical Sciences, Divisions of Emergency Medicine, Lund, Sweden$_130012300
*700  $aGreen, Michael;$4aut;$uLund University, Department of Theoretical Physics, Lund, Sweden$_136858900
*700  $aJovinge, Stefan;$4aut;$uSkåne University Hospital at Lund, Department of Cardiology, Sweden$_136859000
*700  $aKhoshnood, Ardavan;$4aut;$uSkåne University Hospital at Lund, Department of Clinical Sciences, Divisions of Emergency Medicine, Lund, Sweden$_136859100
*700  $aOhlsson, Mattias;$4aut;$uLund University, Department of Theoretical Physics, Lund, Sweden$_136859200
*773  $tScandinavian journal of trauma, resuscitation and emergency medicine [elektronisk ressurs]$gVol. 20 (2012)$x1757-7241
*8564 $uhttps://doi.org/10.1186/1757-7241-20-8
*999  $z1200508362$anorart:1200508362
^