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

File: <base>/training/georgia/g5/E04904.hea (802 bytes) 
E04904 12 500 5000
E04904.mat 16x1+24 1000.0(0)/mV 16 0 165 -32440 0 I
E04904.mat 16x1+24 1000.0(0)/mV 16 0 -253 -19980 0 II
E04904.mat 16x1+24 1000.0(0)/mV 16 0 -419 13906 0 III
E04904.mat 16x1+24 1000.0(0)/mV 16 0 43 26222 0 aVR
E04904.mat 16x1+24 1000.0(0)/mV 16 0 292 -24785 0 aVL
E04904.mat 16x1+24 1000.0(0)/mV 16 0 -336 -2986 0 aVF
E04904.mat 16x1+24 1000.0(0)/mV 16 0 575 -3295 0 V1
E04904.mat 16x1+24 1000.0(0)/mV 16 0 1776 -31929 0 V2
E04904.mat 16x1+24 1000.0(0)/mV 16 0 849 32555 0 V3
E04904.mat 16x1+24 1000.0(0)/mV 16 0 58 -25692 0 V4
E04904.mat 16x1+24 1000.0(0)/mV 16 0 48 -26695 0 V5
E04904.mat 16x1+24 1000.0(0)/mV 16 0 9 -11156 0 V6
# Age: 69
# Sex: Male
# Dx: 428750005,67741000119109,111975006,164930006,426434006,59931005,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown