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

File: <base>/training/georgia/g5/E04354.hea (711 bytes) 
E04354 12 500 5000
E04354.mat 16x1+24 1000.0(0)/mV 16 0 0 -24508 0 I
E04354.mat 16x1+24 1000.0(0)/mV 16 0 9 -27052 0 II
E04354.mat 16x1+24 1000.0(0)/mV 16 0 9 -2486 0 III
E04354.mat 16x1+24 1000.0(0)/mV 16 0 -4 25743 0 aVR
E04354.mat 16x1+24 1000.0(0)/mV 16 0 -4 -10903 0 aVL
E04354.mat 16x1+24 1000.0(0)/mV 16 0 9 -14975 0 aVF
E04354.mat 16x1+24 1000.0(0)/mV 16 0 48 -13407 0 V1
E04354.mat 16x1+24 1000.0(0)/mV 16 0 0 -29016 0 V2
E04354.mat 16x1+24 1000.0(0)/mV 16 0 -48 12625 0 V3
E04354.mat 16x1+24 1000.0(0)/mV 16 0 39 -24959 0 V4
E04354.mat 16x1+24 1000.0(0)/mV 16 0 0 1645 0 V5
E04354.mat 16x1+24 1000.0(0)/mV 16 0 -9 24573 0 V6
# Age: 73
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown