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

File: <base>/training/georgia/g5/E04872.hea (725 bytes) 
E04872 12 500 5000
E04872.mat 16x1+24 1000.0(0)/mV 16 0 9 -1472 0 I
E04872.mat 16x1+24 1000.0(0)/mV 16 0 -39 11976 0 II
E04872.mat 16x1+24 1000.0(0)/mV 16 0 -48 14530 0 III
E04872.mat 16x1+24 1000.0(0)/mV 16 0 14 -5185 0 aVR
E04872.mat 16x1+24 1000.0(0)/mV 16 0 29 -7843 0 aVL
E04872.mat 16x1+24 1000.0(0)/mV 16 0 -43 13243 0 aVF
E04872.mat 16x1+24 1000.0(0)/mV 16 0 -165 14357 0 V1
E04872.mat 16x1+24 1000.0(0)/mV 16 0 9 30165 0 V2
E04872.mat 16x1+24 1000.0(0)/mV 16 0 39 4145 0 V3
E04872.mat 16x1+24 1000.0(0)/mV 16 0 68 -21368 0 V4
E04872.mat 16x1+24 1000.0(0)/mV 16 0 -19 -5987 0 V5
E04872.mat 16x1+24 1000.0(0)/mV 16 0 -48 10888 0 V6
# Age: 66
# Sex: Male
# Dx: 428750005,284470004,284470004
# Rx: Unknown
# Hx: Unknown