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

File: <base>/training/georgia/g10/E09794.hea (726 bytes) 
E09794 12 500 5000
E09794.mat 16x1+24 1000.0(0)/mV 16 0 -48 29625 0 I
E09794.mat 16x1+24 1000.0(0)/mV 16 0 -29 1687 0 II
E09794.mat 16x1+24 1000.0(0)/mV 16 0 19 -28122 0 III
E09794.mat 16x1+24 1000.0(0)/mV 16 0 39 17106 0 aVR
E09794.mat 16x1+24 1000.0(0)/mV 16 0 -34 28861 0 aVL
E09794.mat 16x1+24 1000.0(0)/mV 16 0 -4 19912 0 aVF
E09794.mat 16x1+24 1000.0(0)/mV 16 0 39 6891 0 V1
E09794.mat 16x1+24 1000.0(0)/mV 16 0 -19 7259 0 V2
E09794.mat 16x1+24 1000.0(0)/mV 16 0 -58 -2025 0 V3
E09794.mat 16x1+24 1000.0(0)/mV 16 0 -29 5231 0 V4
E09794.mat 16x1+24 1000.0(0)/mV 16 0 -29 14070 0 V5
E09794.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11840 0 V6
# Age: 48
# Sex: Male
# Dx: 428417006,164889003,164931005
# Rx: Unknown
# Hx: Unknown