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

File: <base>/training/georgia/g9/E08927.hea (726 bytes) 
E08927 12 500 5000
E08927.mat 16x1+24 1000.0(0)/mV 16 0 107 8907 0 I
E08927.mat 16x1+24 1000.0(0)/mV 16 0 156 12616 0 II
E08927.mat 16x1+24 1000.0(0)/mV 16 0 48 4100 0 III
E08927.mat 16x1+24 1000.0(0)/mV 16 0 -131 -10790 0 aVR
E08927.mat 16x1+24 1000.0(0)/mV 16 0 29 2491 0 aVL
E08927.mat 16x1+24 1000.0(0)/mV 16 0 102 8515 0 aVF
E08927.mat 16x1+24 1000.0(0)/mV 16 0 29 31812 0 V1
E08927.mat 16x1+24 1000.0(0)/mV 16 0 263 -9827 0 V2
E08927.mat 16x1+24 1000.0(0)/mV 16 0 439 23352 0 V3
E08927.mat 16x1+24 1000.0(0)/mV 16 0 78 -31729 0 V4
E08927.mat 16x1+24 1000.0(0)/mV 16 0 39 -21725 0 V5
E08927.mat 16x1+24 1000.0(0)/mV 16 0 9 -10740 0 V6
# Age: 66
# Sex: Male
# Dx: 428750005,428417006,426177001
# Rx: Unknown
# Hx: Unknown