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

File: <base>/training/georgia/g10/E09537.hea (710 bytes) 
E09537 12 500 5000
E09537.mat 16x1+24 1000.0(0)/mV 16 0 -29 -2771 0 I
E09537.mat 16x1+24 1000.0(0)/mV 16 0 -39 -14839 0 II
E09537.mat 16x1+24 1000.0(0)/mV 16 0 -9 -11100 0 III
E09537.mat 16x1+24 1000.0(0)/mV 16 0 34 -23859 0 aVR
E09537.mat 16x1+24 1000.0(0)/mV 16 0 -9 5076 0 aVL
E09537.mat 16x1+24 1000.0(0)/mV 16 0 -24 19933 0 aVF
E09537.mat 16x1+24 1000.0(0)/mV 16 0 39 -26911 0 V1
E09537.mat 16x1+24 1000.0(0)/mV 16 0 -39 25110 0 V2
E09537.mat 16x1+24 1000.0(0)/mV 16 0 0 10767 0 V3
E09537.mat 16x1+24 1000.0(0)/mV 16 0 -68 -1888 0 V4
E09537.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15464 0 V5
E09537.mat 16x1+24 1000.0(0)/mV 16 0 -29 18795 0 V6
# Age: 54
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown