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

File: <base>/training/georgia/g1/E00809.hea (711 bytes) 
E00809 12 500 5000
E00809.mat 16x1+24 1000.0(0)/mV 16 0 -9 2043 0 I
E00809.mat 16x1+24 1000.0(0)/mV 16 0 214 20988 0 II
E00809.mat 16x1+24 1000.0(0)/mV 16 0 224 19069 0 III
E00809.mat 16x1+24 1000.0(0)/mV 16 0 -102 20945 0 aVR
E00809.mat 16x1+24 1000.0(0)/mV 16 0 -117 -8533 0 aVL
E00809.mat 16x1+24 1000.0(0)/mV 16 0 219 -12883 0 aVF
E00809.mat 16x1+24 1000.0(0)/mV 16 0 0 10662 0 V1
E00809.mat 16x1+24 1000.0(0)/mV 16 0 107 -3028 0 V2
E00809.mat 16x1+24 1000.0(0)/mV 16 0 126 24373 0 V3
E00809.mat 16x1+24 1000.0(0)/mV 16 0 253 -5035 0 V4
E00809.mat 16x1+24 1000.0(0)/mV 16 0 263 -18553 0 V5
E00809.mat 16x1+24 1000.0(0)/mV 16 0 253 5245 0 V6
# Age: 80
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown