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

File: <base>/training/georgia/g10/E09730.hea (717 bytes) 
E09730 12 500 5000
E09730.mat 16x1+24 1000.0(0)/mV 16 0 -53 -26251 0 I
E09730.mat 16x1+24 1000.0(0)/mV 16 0 -43 5260 0 II
E09730.mat 16x1+24 1000.0(0)/mV 16 0 9 -32530 0 III
E09730.mat 16x1+24 1000.0(0)/mV 16 0 48 -22405 0 aVR
E09730.mat 16x1+24 1000.0(0)/mV 16 0 -31 1762 0 aVL
E09730.mat 16x1+24 1000.0(0)/mV 16 0 -17 19194 0 aVF
E09730.mat 16x1+24 1000.0(0)/mV 16 0 -19 24227 0 V1
E09730.mat 16x1+24 1000.0(0)/mV 16 0 -87 32746 0 V2
E09730.mat 16x1+24 1000.0(0)/mV 16 0 -39 23867 0 V3
E09730.mat 16x1+24 1000.0(0)/mV 16 0 -14 21419 0 V4
E09730.mat 16x1+24 1000.0(0)/mV 16 0 4 -3201 0 V5
E09730.mat 16x1+24 1000.0(0)/mV 16 0 14 18847 0 V6
# Age: 82
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown