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

File: <base>/training/georgia/g10/E09530.hea (726 bytes) 
E09530 12 500 5000
E09530.mat 16x1+24 1000.0(0)/mV 16 0 -107 11276 0 I
E09530.mat 16x1+24 1000.0(0)/mV 16 0 0 19350 0 II
E09530.mat 16x1+24 1000.0(0)/mV 16 0 107 7779 0 III
E09530.mat 16x1+24 1000.0(0)/mV 16 0 53 -15587 0 aVR
E09530.mat 16x1+24 1000.0(0)/mV 16 0 -107 1665 0 aVL
E09530.mat 16x1+24 1000.0(0)/mV 16 0 53 13450 0 aVF
E09530.mat 16x1+24 1000.0(0)/mV 16 0 29 29119 0 V1
E09530.mat 16x1+24 1000.0(0)/mV 16 0 9 11541 0 V2
E09530.mat 16x1+24 1000.0(0)/mV 16 0 -87 19786 0 V3
E09530.mat 16x1+24 1000.0(0)/mV 16 0 -4 18671 0 V4
E09530.mat 16x1+24 1000.0(0)/mV 16 0 -29 -31709 0 V5
E09530.mat 16x1+24 1000.0(0)/mV 16 0 34 -30303 0 V6
# Age: 60
# Sex: Male
# Dx: 427084000,429622005,164930006
# Rx: Unknown
# Hx: Unknown