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

File: <base>/training/georgia/g4/E03894.hea (738 bytes) 
E03894 12 500 5000
E03894.mat 16x1+24 1000.0(0)/mV 16 0 68 28528 0 I
E03894.mat 16x1+24 1000.0(0)/mV 16 0 19 28759 0 II
E03894.mat 16x1+24 1000.0(0)/mV 16 0 -48 878 0 III
E03894.mat 16x1+24 1000.0(0)/mV 16 0 -43 4503 0 aVR
E03894.mat 16x1+24 1000.0(0)/mV 16 0 58 -18925 0 aVL
E03894.mat 16x1+24 1000.0(0)/mV 16 0 -14 14895 0 aVF
E03894.mat 16x1+24 1000.0(0)/mV 16 0 165 -9245 0 V1
E03894.mat 16x1+24 1000.0(0)/mV 16 0 -224 32574 0 V2
E03894.mat 16x1+24 1000.0(0)/mV 16 0 -185 24030 0 V3
E03894.mat 16x1+24 1000.0(0)/mV 16 0 29 4749 0 V4
E03894.mat 16x1+24 1000.0(0)/mV 16 0 -48 31155 0 V5
E03894.mat 16x1+24 1000.0(0)/mV 16 0 -58 22957 0 V6
# Age: 56
# Sex: Female
# Dx: 89792004,426177001,425623009,164934002
# Rx: Unknown
# Hx: Unknown