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

File: <base>/training/georgia/g5/E04583.hea (721 bytes) 
E04583 12 500 5000
E04583.mat 16x1+24 1000.0(0)/mV 16 0 9 -26523 0 I
E04583.mat 16x1+24 1000.0(0)/mV 16 0 0 -18596 0 II
E04583.mat 16x1+24 1000.0(0)/mV 16 0 -9 8285 0 III
E04583.mat 16x1+24 1000.0(0)/mV 16 0 -4 -10243 0 aVR
E04583.mat 16x1+24 1000.0(0)/mV 16 0 9 -17423 0 aVL
E04583.mat 16x1+24 1000.0(0)/mV 16 0 -4 27687 0 aVF
E04583.mat 16x1+24 1000.0(0)/mV 16 0 -263 18038 0 V1
E04583.mat 16x1+24 1000.0(0)/mV 16 0 -702 -25130 0 V2
E04583.mat 16x1+24 1000.0(0)/mV 16 0 -624 -16787 0 V3
E04583.mat 16x1+24 1000.0(0)/mV 16 0 -478 26613 0 V4
E04583.mat 16x1+24 1000.0(0)/mV 16 0 -136 8145 0 V5
E04583.mat 16x1+24 1000.0(0)/mV 16 0 0 -17119 0 V6
# Age: 71
# Sex: Male
# Dx: 428750005,251146004
# Rx: Unknown
# Hx: Unknown