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

File: <base>/training/georgia/g9/E08864.hea (724 bytes) 
E08864 12 500 2500
E08864.mat 16x1+24 1000.0(0)/mV 16 0 -24 -22723 0 I
E08864.mat 16x1+24 1000.0(0)/mV 16 0 9 -13013 0 II
E08864.mat 16x1+24 1000.0(0)/mV 16 0 34 10221 0 III
E08864.mat 16x1+24 1000.0(0)/mV 16 0 7 17773 0 aVR
E08864.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16662 0 aVL
E08864.mat 16x1+24 1000.0(0)/mV 16 0 21 -1371 0 aVF
E08864.mat 16x1+24 1000.0(0)/mV 16 0 4 -11901 0 V1
E08864.mat 16x1+24 1000.0(0)/mV 16 0 14 -9734 0 V2
E08864.mat 16x1+24 1000.0(0)/mV 16 0 43 -5494 0 V3
E08864.mat 16x1+24 1000.0(0)/mV 16 0 48 -9379 0 V4
E08864.mat 16x1+24 1000.0(0)/mV 16 0 48 -16123 0 V5
E08864.mat 16x1+24 1000.0(0)/mV 16 0 48 -11840 0 V6
# Age: 72
# Sex: Male
# Dx: 39732003,425623009,426177001
# Rx: Unknown
# Hx: Unknown