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

File: <base>/training/georgia/g10/E09833.hea (717 bytes) 
E09833 12 500 5000
E09833.mat 16x1+24 1000.0(0)/mV 16 0 -112 30132 0 I
E09833.mat 16x1+24 1000.0(0)/mV 16 0 195 10860 0 II
E09833.mat 16x1+24 1000.0(0)/mV 16 0 307 -18762 0 III
E09833.mat 16x1+24 1000.0(0)/mV 16 0 -41 -19985 0 aVR
E09833.mat 16x1+24 1000.0(0)/mV 16 0 -209 24819 0 aVL
E09833.mat 16x1+24 1000.0(0)/mV 16 0 251 -3951 0 aVF
E09833.mat 16x1+24 1000.0(0)/mV 16 0 -68 30156 0 V1
E09833.mat 16x1+24 1000.0(0)/mV 16 0 -48 -1680 0 V2
E09833.mat 16x1+24 1000.0(0)/mV 16 0 165 -19961 0 V3
E09833.mat 16x1+24 1000.0(0)/mV 16 0 219 24329 0 V4
E09833.mat 16x1+24 1000.0(0)/mV 16 0 248 26473 0 V5
E09833.mat 16x1+24 1000.0(0)/mV 16 0 258 10768 0 V6
# Age: 79
# Sex: Male
# Dx: 251266004
# Rx: Unknown
# Hx: Unknown