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

File: <base>/training/georgia/g4/E03929.hea (712 bytes) 
E03929 12 500 5000
E03929.mat 16x1+24 1000.0(0)/mV 16 0 0 -22975 0 I
E03929.mat 16x1+24 1000.0(0)/mV 16 0 0 -10977 0 II
E03929.mat 16x1+24 1000.0(0)/mV 16 0 0 12275 0 III
E03929.mat 16x1+24 1000.0(0)/mV 16 0 0 -16191 0 aVR
E03929.mat 16x1+24 1000.0(0)/mV 16 0 0 15187 0 aVL
E03929.mat 16x1+24 1000.0(0)/mV 16 0 0 762 0 aVF
E03929.mat 16x1+24 1000.0(0)/mV 16 0 68 7168 0 V1
E03929.mat 16x1+24 1000.0(0)/mV 16 0 29 9679 0 V2
E03929.mat 16x1+24 1000.0(0)/mV 16 0 29 -3040 0 V3
E03929.mat 16x1+24 1000.0(0)/mV 16 0 39 -16376 0 V4
E03929.mat 16x1+24 1000.0(0)/mV 16 0 -9 10062 0 V5
E03929.mat 16x1+24 1000.0(0)/mV 16 0 9 1760 0 V6
# Age: 72
# Sex: Male
# Dx: 426177001,425623009,164934002
# Rx: Unknown
# Hx: Unknown