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

File: <base>/training/georgia/g5/E04105.hea (742 bytes) 
E04105 12 500 5000
E04105.mat 16x1+24 1000.0(0)/mV 16 0 -48 17418 0 I
E04105.mat 16x1+24 1000.0(0)/mV 16 0 9 25838 0 II
E04105.mat 16x1+24 1000.0(0)/mV 16 0 58 8158 0 III
E04105.mat 16x1+24 1000.0(0)/mV 16 0 19 -21704 0 aVR
E04105.mat 16x1+24 1000.0(0)/mV 16 0 -53 -28377 0 aVL
E04105.mat 16x1+24 1000.0(0)/mV 16 0 34 -15711 0 aVF
E04105.mat 16x1+24 1000.0(0)/mV 16 0 -292 6195 0 V1
E04105.mat 16x1+24 1000.0(0)/mV 16 0 97 -6723 0 V2
E04105.mat 16x1+24 1000.0(0)/mV 16 0 156 12374 0 V3
E04105.mat 16x1+24 1000.0(0)/mV 16 0 161 21705 0 V4
E04105.mat 16x1+24 1000.0(0)/mV 16 0 258 23589 0 V5
E04105.mat 16x1+24 1000.0(0)/mV 16 0 43 21924 0 V6
# Age: 59
# Sex: Male
# Dx: 67741000119109,111975006,164930006,164934002
# Rx: Unknown
# Hx: Unknown