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

File: <base>/training/georgia/g6/E05834.hea (747 bytes) 
E05834 12 500 5000
E05834.mat 16x1+24 1000.0(0)/mV 16 0 9 14157 0 I
E05834.mat 16x1+24 1000.0(0)/mV 16 0 87 6772 0 II
E05834.mat 16x1+24 1000.0(0)/mV 16 0 78 -6687 0 III
E05834.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10400 0 aVR
E05834.mat 16x1+24 1000.0(0)/mV 16 0 -34 10612 0 aVL
E05834.mat 16x1+24 1000.0(0)/mV 16 0 82 -352 0 aVF
E05834.mat 16x1+24 1000.0(0)/mV 16 0 39 -19328 0 V1
E05834.mat 16x1+24 1000.0(0)/mV 16 0 -39 7505 0 V2
E05834.mat 16x1+24 1000.0(0)/mV 16 0 -19 -501 0 V3
E05834.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23417 0 V4
E05834.mat 16x1+24 1000.0(0)/mV 16 0 -29 -5478 0 V5
E05834.mat 16x1+24 1000.0(0)/mV 16 0 -29 -20043 0 V6
# Age: 64
# Sex: Female
# Dx: 426177001,251146004,427393009,284470004,284470004
# Rx: Unknown
# Hx: Unknown