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

File: <base>/training/georgia/g2/E01292.hea (731 bytes) 
E01292 12 500 5000
E01292.mat 16x1+24 1000.0(0)/mV 16 0 -19 -2752 0 I
E01292.mat 16x1+24 1000.0(0)/mV 16 0 -58 -26774 0 II
E01292.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24206 0 III
E01292.mat 16x1+24 1000.0(0)/mV 16 0 39 14774 0 aVR
E01292.mat 16x1+24 1000.0(0)/mV 16 0 9 11025 0 aVL
E01292.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25428 0 aVF
E01292.mat 16x1+24 1000.0(0)/mV 16 0 19 -24648 0 V1
E01292.mat 16x1+24 1000.0(0)/mV 16 0 0 -12721 0 V2
E01292.mat 16x1+24 1000.0(0)/mV 16 0 -185 -150 0 V3
E01292.mat 16x1+24 1000.0(0)/mV 16 0 -87 21875 0 V4
E01292.mat 16x1+24 1000.0(0)/mV 16 0 -78 -21588 0 V5
E01292.mat 16x1+24 1000.0(0)/mV 16 0 -48 -7275 0 V6
# Age: 62
# Sex: Male
# Dx: 59118001,284470004,284470004
# Rx: Unknown
# Hx: Unknown