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

File: <base>/training/georgia/g10/E09205.hea (713 bytes) 
E09205 12 500 5000
E09205.mat 16x1+24 1000.0(0)/mV 16 0 -39 12015 0 I
E09205.mat 16x1+24 1000.0(0)/mV 16 0 126 12510 0 II
E09205.mat 16x1+24 1000.0(0)/mV 16 0 165 1463 0 III
E09205.mat 16x1+24 1000.0(0)/mV 16 0 -43 20620 0 aVR
E09205.mat 16x1+24 1000.0(0)/mV 16 0 -102 4959 0 aVL
E09205.mat 16x1+24 1000.0(0)/mV 16 0 146 -25830 0 aVF
E09205.mat 16x1+24 1000.0(0)/mV 16 0 29 19934 0 V1
E09205.mat 16x1+24 1000.0(0)/mV 16 0 19 -6860 0 V2
E09205.mat 16x1+24 1000.0(0)/mV 16 0 -117 -26844 0 V3
E09205.mat 16x1+24 1000.0(0)/mV 16 0 -87 15781 0 V4
E09205.mat 16x1+24 1000.0(0)/mV 16 0 -68 -2277 0 V5
E09205.mat 16x1+24 1000.0(0)/mV 16 0 -48 -24345 0 V6
# Age: 64
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown