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

File: <base>/training/georgia/g2/E01809.hea (719 bytes) 
E01809 12 500 5000
E01809.mat 16x1+24 1000.0(0)/mV 16 0 -58 -16516 0 I
E01809.mat 16x1+24 1000.0(0)/mV 16 0 -97 -15757 0 II
E01809.mat 16x1+24 1000.0(0)/mV 16 0 -39 304 0 III
E01809.mat 16x1+24 1000.0(0)/mV 16 0 78 16096 0 aVR
E01809.mat 16x1+24 1000.0(0)/mV 16 0 -9 24484 0 aVL
E01809.mat 16x1+24 1000.0(0)/mV 16 0 -68 25529 0 aVF
E01809.mat 16x1+24 1000.0(0)/mV 16 0 58 24595 0 V1
E01809.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12727 0 V2
E01809.mat 16x1+24 1000.0(0)/mV 16 0 -58 -5984 0 V3
E01809.mat 16x1+24 1000.0(0)/mV 16 0 165 4834 0 V4
E01809.mat 16x1+24 1000.0(0)/mV 16 0 -48 -5607 0 V5
E01809.mat 16x1+24 1000.0(0)/mV 16 0 -68 32710 0 V6
# Age: 61
# Sex: Male
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown