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

File: <base>/training/georgia/g4/E03934.hea (722 bytes) 
E03934 12 500 5000
E03934.mat 16x1+24 1000.0(0)/mV 16 0 -43 -27365 0 I
E03934.mat 16x1+24 1000.0(0)/mV 16 0 -122 8630 0 II
E03934.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29421 0 III
E03934.mat 16x1+24 1000.0(0)/mV 16 0 82 -23422 0 aVR
E03934.mat 16x1+24 1000.0(0)/mV 16 0 17 1325 0 aVL
E03934.mat 16x1+24 1000.0(0)/mV 16 0 -100 22595 0 aVF
E03934.mat 16x1+24 1000.0(0)/mV 16 0 175 -2029 0 V1
E03934.mat 16x1+24 1000.0(0)/mV 16 0 63 -20274 0 V2
E03934.mat 16x1+24 1000.0(0)/mV 16 0 -24 4035 0 V3
E03934.mat 16x1+24 1000.0(0)/mV 16 0 -29 -7624 0 V4
E03934.mat 16x1+24 1000.0(0)/mV 16 0 -14 13401 0 V5
E03934.mat 16x1+24 1000.0(0)/mV 16 0 0 21367 0 V6
# Age: 52
# Sex: Female
# Dx: 426177001,427393009
# Rx: Unknown
# Hx: Unknown