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

File: <base>/training/georgia/g10/E09409.hea (730 bytes) 
E09409 12 500 5000
E09409.mat 16x1+24 1000.0(0)/mV 16 0 -78 -812 0 I
E09409.mat 16x1+24 1000.0(0)/mV 16 0 -107 -22125 0 II
E09409.mat 16x1+24 1000.0(0)/mV 16 0 -29 -20100 0 III
E09409.mat 16x1+24 1000.0(0)/mV 16 0 92 11448 0 aVR
E09409.mat 16x1+24 1000.0(0)/mV 16 0 -24 -22095 0 aVL
E09409.mat 16x1+24 1000.0(0)/mV 16 0 -68 11684 0 aVF
E09409.mat 16x1+24 1000.0(0)/mV 16 0 107 -8511 0 V1
E09409.mat 16x1+24 1000.0(0)/mV 16 0 48 2482 0 V2
E09409.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13898 0 V3
E09409.mat 16x1+24 1000.0(0)/mV 16 0 -9 8956 0 V4
E09409.mat 16x1+24 1000.0(0)/mV 16 0 9 -24671 0 V5
E09409.mat 16x1+24 1000.0(0)/mV 16 0 -19 30361 0 V6
# Age: 33
# Sex: Female
# Dx: 428750005,427084000,59931005
# Rx: Unknown
# Hx: Unknown