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

File: <base>/training/georgia/g5/E04591.hea (744 bytes) 
E04591 12 500 5000
E04591.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20483 0 I
E04591.mat 16x1+24 1000.0(0)/mV 16 0 -126 -25933 0 II
E04591.mat 16x1+24 1000.0(0)/mV 16 0 -107 -5405 0 III
E04591.mat 16x1+24 1000.0(0)/mV 16 0 73 -9455 0 aVR
E04591.mat 16x1+24 1000.0(0)/mV 16 0 43 25518 0 aVL
E04591.mat 16x1+24 1000.0(0)/mV 16 0 -117 -15698 0 aVF
E04591.mat 16x1+24 1000.0(0)/mV 16 0 107 -18558 0 V1
E04591.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11953 0 V2
E04591.mat 16x1+24 1000.0(0)/mV 16 0 -107 15317 0 V3
E04591.mat 16x1+24 1000.0(0)/mV 16 0 29 5152 0 V4
E04591.mat 16x1+24 1000.0(0)/mV 16 0 -68 3349 0 V5
E04591.mat 16x1+24 1000.0(0)/mV 16 0 -29 21697 0 V6
# Age: 63
# Sex: Male
# Dx: 17338001,428750005,164934002,59931005
# Rx: Unknown
# Hx: Unknown