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

File: <base>/training/georgia/g8/E07759.hea (729 bytes) 
E07759 12 500 5000
E07759.mat 16x1+24 1000.0(0)/mV 16 0 87 30608 0 I
E07759.mat 16x1+24 1000.0(0)/mV 16 0 -190 -3628 0 II
E07759.mat 16x1+24 1000.0(0)/mV 16 0 -278 31135 0 III
E07759.mat 16x1+24 1000.0(0)/mV 16 0 51 -13597 0 aVR
E07759.mat 16x1+24 1000.0(0)/mV 16 0 183 32754 0 aVL
E07759.mat 16x1+24 1000.0(0)/mV 16 0 -234 -18857 0 aVF
E07759.mat 16x1+24 1000.0(0)/mV 16 0 -224 7400 0 V1
E07759.mat 16x1+24 1000.0(0)/mV 16 0 -244 -30584 0 V2
E07759.mat 16x1+24 1000.0(0)/mV 16 0 -478 -19929 0 V3
E07759.mat 16x1+24 1000.0(0)/mV 16 0 -117 -3062 0 V4
E07759.mat 16x1+24 1000.0(0)/mV 16 0 73 10046 0 V5
E07759.mat 16x1+24 1000.0(0)/mV 16 0 78 -29567 0 V6
# Age: 61
# Sex: Male
# Dx: 428750005,425623009
# Rx: Unknown
# Hx: Unknown