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

File: <base>/training/georgia/g2/E01509.hea (760 bytes) 
E01509 12 500 5000
E01509.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31581 0 I
E01509.mat 16x1+24 1000.0(0)/mV 16 0 -97 4945 0 II
E01509.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28207 0 III
E01509.mat 16x1+24 1000.0(0)/mV 16 0 82 12952 0 aVR
E01509.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1829 0 aVL
E01509.mat 16x1+24 1000.0(0)/mV 16 0 -63 -11714 0 aVF
E01509.mat 16x1+24 1000.0(0)/mV 16 0 97 -30110 0 V1
E01509.mat 16x1+24 1000.0(0)/mV 16 0 380 -19940 0 V2
E01509.mat 16x1+24 1000.0(0)/mV 16 0 39 17686 0 V3
E01509.mat 16x1+24 1000.0(0)/mV 16 0 9 -32433 0 V4
E01509.mat 16x1+24 1000.0(0)/mV 16 0 97 19419 0 V5
E01509.mat 16x1+24 1000.0(0)/mV 16 0 9 11372 0 V6
# Age: 60
# Sex: Female
# Dx: 428750005,111975006,164930006,270492004,59931005,164917005
# Rx: Unknown
# Hx: Unknown