Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g5/E04759.hea (763 bytes) 
E04759 12 500 5000
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29368 0 I
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -87 -24328 0 II
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -78 6660 0 III
E04759.mat 16x1+24 1000.0(0)/mV 16 0 48 26860 0 aVR
E04759.mat 16x1+24 1000.0(0)/mV 16 0 34 -18991 0 aVL
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -82 -8800 0 aVF
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -9 28239 0 V1
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -78 26448 0 V2
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -58 20200 0 V3
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -87 -29755 0 V4
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -78 -21162 0 V5
E04759.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25175 0 V6
# Age: 27
# Sex: Male
# Dx: 164873001,253352002,111975006,164930006,425623009,164934002
# Rx: Unknown
# Hx: Unknown