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

File: <base>/training/georgia/g10/E09285.hea (743 bytes) 
E09285 12 500 5000
E09285.mat 16x1+24 1000.0(0)/mV 16 0 -229 -9311 0 I
E09285.mat 16x1+24 1000.0(0)/mV 16 0 -63 -25038 0 II
E09285.mat 16x1+24 1000.0(0)/mV 16 0 165 -15585 0 III
E09285.mat 16x1+24 1000.0(0)/mV 16 0 146 16982 0 aVR
E09285.mat 16x1+24 1000.0(0)/mV 16 0 -197 3457 0 aVL
E09285.mat 16x1+24 1000.0(0)/mV 16 0 51 -20072 0 aVF
E09285.mat 16x1+24 1000.0(0)/mV 16 0 287 29684 0 V1
E09285.mat 16x1+24 1000.0(0)/mV 16 0 434 7166 0 V2
E09285.mat 16x1+24 1000.0(0)/mV 16 0 307 2150 0 V3
E09285.mat 16x1+24 1000.0(0)/mV 16 0 73 4209 0 V4
E09285.mat 16x1+24 1000.0(0)/mV 16 0 87 11271 0 V5
E09285.mat 16x1+24 1000.0(0)/mV 16 0 68 7036 0 V6
# Age: 50
# Sex: Male
# Dx: 164884008,428750005,67741000119109,427084000
# Rx: Unknown
# Hx: Unknown