*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 ^