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

File: <base>/training/georgia/g5/E04764.hea (718 bytes) 
E04764 12 500 5000
E04764.mat 16x1+24 1000.0(0)/mV 16 0 -78 32351 0 I
E04764.mat 16x1+24 1000.0(0)/mV 16 0 -58 -23787 0 II
E04764.mat 16x1+24 1000.0(0)/mV 16 0 19 10197 0 III
E04764.mat 16x1+24 1000.0(0)/mV 16 0 68 28574 0 aVR
E04764.mat 16x1+24 1000.0(0)/mV 16 0 -48 -21499 0 aVL
E04764.mat 16x1+24 1000.0(0)/mV 16 0 -19 -6572 0 aVF
E04764.mat 16x1+24 1000.0(0)/mV 16 0 58 -6208 0 V1
E04764.mat 16x1+24 1000.0(0)/mV 16 0 29 -5734 0 V2
E04764.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9 0 V3
E04764.mat 16x1+24 1000.0(0)/mV 16 0 -87 26188 0 V4
E04764.mat 16x1+24 1000.0(0)/mV 16 0 -117 -5511 0 V5
E04764.mat 16x1+24 1000.0(0)/mV 16 0 -78 17133 0 V6
# Age: 77
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown