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

File: <base>/training/georgia/g2/E01249.hea (727 bytes) 
E01249 12 500 5000
E01249.mat 16x1+24 1000.0(0)/mV 16 0 -126 -17858 0 I
E01249.mat 16x1+24 1000.0(0)/mV 16 0 -117 -6517 0 II
E01249.mat 16x1+24 1000.0(0)/mV 16 0 9 10389 0 III
E01249.mat 16x1+24 1000.0(0)/mV 16 0 122 12109 0 aVR
E01249.mat 16x1+24 1000.0(0)/mV 16 0 -68 18806 0 aVL
E01249.mat 16x1+24 1000.0(0)/mV 16 0 -53 -30658 0 aVF
E01249.mat 16x1+24 1000.0(0)/mV 16 0 292 20309 0 V1
E01249.mat 16x1+24 1000.0(0)/mV 16 0 146 -19819 0 V2
E01249.mat 16x1+24 1000.0(0)/mV 16 0 -29 -4758 0 V3
E01249.mat 16x1+24 1000.0(0)/mV 16 0 -58 24739 0 V4
E01249.mat 16x1+24 1000.0(0)/mV 16 0 -48 17955 0 V5
E01249.mat 16x1+24 1000.0(0)/mV 16 0 -195 24092 0 V6
# Age: 45
# Sex: Female
# Dx: 427084000,59931005
# Rx: Unknown
# Hx: Unknown