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

File: <base>/training/georgia/g4/E03841.hea (714 bytes) 
E03841 12 500 5000
E03841.mat 16x1+24 1000.0(0)/mV 16 0 -97 -31282 0 I
E03841.mat 16x1+24 1000.0(0)/mV 16 0 -322 -19914 0 II
E03841.mat 16x1+24 1000.0(0)/mV 16 0 -224 12313 0 III
E03841.mat 16x1+24 1000.0(0)/mV 16 0 209 -7000 0 aVR
E03841.mat 16x1+24 1000.0(0)/mV 16 0 63 10463 0 aVL
E03841.mat 16x1+24 1000.0(0)/mV 16 0 -273 -3851 0 aVF
E03841.mat 16x1+24 1000.0(0)/mV 16 0 136 27616 0 V1
E03841.mat 16x1+24 1000.0(0)/mV 16 0 117 13535 0 V2
E03841.mat 16x1+24 1000.0(0)/mV 16 0 78 28325 0 V3
E03841.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4780 0 V4
E03841.mat 16x1+24 1000.0(0)/mV 16 0 -29 -20170 0 V5
E03841.mat 16x1+24 1000.0(0)/mV 16 0 165 5938 0 V6
# Age: 64
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown