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

File: <base>/training/georgia/g3/E02509.hea (722 bytes) 
E02509 12 500 5000
E02509.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29244 0 I
E02509.mat 16x1+24 1000.0(0)/mV 16 0 87 25996 0 II
E02509.mat 16x1+24 1000.0(0)/mV 16 0 146 -10473 0 III
E02509.mat 16x1+24 1000.0(0)/mV 16 0 -14 -31143 0 aVR
E02509.mat 16x1+24 1000.0(0)/mV 16 0 -102 -9474 0 aVL
E02509.mat 16x1+24 1000.0(0)/mV 16 0 117 -24952 0 aVF
E02509.mat 16x1+24 1000.0(0)/mV 16 0 -107 26836 0 V1
E02509.mat 16x1+24 1000.0(0)/mV 16 0 234 -28349 0 V2
E02509.mat 16x1+24 1000.0(0)/mV 16 0 9 30863 0 V3
E02509.mat 16x1+24 1000.0(0)/mV 16 0 -175 -20824 0 V4
E02509.mat 16x1+24 1000.0(0)/mV 16 0 -204 -21790 0 V5
E02509.mat 16x1+24 1000.0(0)/mV 16 0 -175 -12458 0 V6
# Age: 56
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown