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

File: <base>/training/georgia/g9/E08054.hea (747 bytes) 
E08054 12 500 5000
E08054.mat 16x1+24 1000.0(0)/mV 16 0 0 -5538 0 I
E08054.mat 16x1+24 1000.0(0)/mV 16 0 126 -28116 0 II
E08054.mat 16x1+24 1000.0(0)/mV 16 0 126 -21551 0 III
E08054.mat 16x1+24 1000.0(0)/mV 16 0 -63 -15933 0 aVR
E08054.mat 16x1+24 1000.0(0)/mV 16 0 -63 -24809 0 aVL
E08054.mat 16x1+24 1000.0(0)/mV 16 0 126 -24793 0 aVF
E08054.mat 16x1+24 1000.0(0)/mV 16 0 29 30376 0 V1
E08054.mat 16x1+24 1000.0(0)/mV 16 0 29 21114 0 V2
E08054.mat 16x1+24 1000.0(0)/mV 16 0 68 14389 0 V3
E08054.mat 16x1+24 1000.0(0)/mV 16 0 78 25583 0 V4
E08054.mat 16x1+24 1000.0(0)/mV 16 0 78 30157 0 V5
E08054.mat 16x1+24 1000.0(0)/mV 16 0 78 21328 0 V6
# Age: 81
# Sex: Male
# Dx: 89792004,164873001,266249003,270492004,39732003
# Rx: Unknown
# Hx: Unknown