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

File: <base>/training/georgia/g1/E00479.hea (730 bytes) 
E00479 12 500 5000
E00479.mat 16x1+24 1000.0(0)/mV 16 0 -204 -13501 0 I
E00479.mat 16x1+24 1000.0(0)/mV 16 0 -234 11739 0 II
E00479.mat 16x1+24 1000.0(0)/mV 16 0 -29 25499 0 III
E00479.mat 16x1+24 1000.0(0)/mV 16 0 219 -31914 0 aVR
E00479.mat 16x1+24 1000.0(0)/mV 16 0 -87 13476 0 aVL
E00479.mat 16x1+24 1000.0(0)/mV 16 0 -131 18574 0 aVF
E00479.mat 16x1+24 1000.0(0)/mV 16 0 107 -22841 0 V1
E00479.mat 16x1+24 1000.0(0)/mV 16 0 19 -30156 0 V2
E00479.mat 16x1+24 1000.0(0)/mV 16 0 -185 17916 0 V3
E00479.mat 16x1+24 1000.0(0)/mV 16 0 9 26245 0 V4
E00479.mat 16x1+24 1000.0(0)/mV 16 0 -507 10364 0 V5
E00479.mat 16x1+24 1000.0(0)/mV 16 0 -234 -15178 0 V6
# Age: 88
# Sex: Male
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown