On the Algorithm for QRS Complexes Localisation in Electrocardiogram

Summary Varioustechniqueshavebeenutilizedincomputer/a ssisted� arrhythmiarecognitionforthemanagementofcardia cdisorders.� Toidentifyanyarrhythmiascharacteristics,�genera lly,�theQRS� complexistakenasareferencebecausetheimporta ntamplitude.� SeveralalgorithmsaredevelopedtolocalisetheR� peaks.�Most� physiologicsignaldetectionalgorithmsarebasedo npre/ processinganddecidingstagesifanincomingpeakisatrue� componentbasedonauserspecifiedthreshold.� Some � have� significantlylargeprocessingtimes.�Inthispaper ,�asimpleridea� isproposedanddevelopedtolocaliseefficiencyth eoccurrence� timeofRwaveofelectrocardiograms.�Theproposed� algorithm� treatsthedecisionstep.�Ourkeyideaistoequali zethemaximaof� thesignalandtoattenuatetheloweramplitudeof� PandT.�to� accomplishthetask,�weintroduceacharacteristic� functionwhich� actsessentiallyonthezoneofthethresholdactio n;�consequently,� theactivatedzonewherethethresholdoccursisen largedandthe�

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