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

File: <base>/training/georgia/g5/E04964.hea (760 bytes) 
E04964 12 500 5000
E04964.mat 16x1+24 1000.0(0)/mV 16 0 -351 21382 0 I
E04964.mat 16x1+24 1000.0(0)/mV 16 0 1122 14288 0 II
E04964.mat 16x1+24 1000.0(0)/mV 16 0 1473 -7369 0 III
E04964.mat 16x1+24 1000.0(0)/mV 16 0 -385 -18258 0 aVR
E04964.mat 16x1+24 1000.0(0)/mV 16 0 -912 -19186 0 aVL
E04964.mat 16x1+24 1000.0(0)/mV 16 0 1298 -29322 0 aVF
E04964.mat 16x1+24 1000.0(0)/mV 16 0 458 -31212 0 V1
E04964.mat 16x1+24 1000.0(0)/mV 16 0 1434 -18286 0 V2
E04964.mat 16x1+24 1000.0(0)/mV 16 0 1678 3095 0 V3
E04964.mat 16x1+24 1000.0(0)/mV 16 0 1376 -28864 0 V4
E04964.mat 16x1+24 1000.0(0)/mV 16 0 1268 22102 0 V5
E04964.mat 16x1+24 1000.0(0)/mV 16 0 1122 -24178 0 V6
# Age: 34
# Sex: Female
# Dx: 59118001,426177001,164934002,164917005
# Rx: Unknown
# Hx: Unknown