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

File: <base>/training/georgia/g3/E02294.hea (712 bytes) 
E02294 12 500 5000
E02294.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19741 0 I
E02294.mat 16x1+24 1000.0(0)/mV 16 0 4 -29671 0 II
E02294.mat 16x1+24 1000.0(0)/mV 16 0 34 -8981 0 III
E02294.mat 16x1+24 1000.0(0)/mV 16 0 12 24814 0 aVR
E02294.mat 16x1+24 1000.0(0)/mV 16 0 -31 -4248 0 aVL
E02294.mat 16x1+24 1000.0(0)/mV 16 0 19 -19355 0 aVF
E02294.mat 16x1+24 1000.0(0)/mV 16 0 24 -15110 0 V1
E02294.mat 16x1+24 1000.0(0)/mV 16 0 -39 31908 0 V2
E02294.mat 16x1+24 1000.0(0)/mV 16 0 -53 13213 0 V3
E02294.mat 16x1+24 1000.0(0)/mV 16 0 -43 5186 0 V4
E02294.mat 16x1+24 1000.0(0)/mV 16 0 -43 -18023 0 V5
E02294.mat 16x1+24 1000.0(0)/mV 16 0 -73 10399 0 V6
# Age: 71
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown