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

File: <base>/training/georgia/g7/E06918.hea (745 bytes) 
E06918 12 500 5000
E06918.mat 16x1+24 1000.0(0)/mV 16 0 -34 1558 0 I
E06918.mat 16x1+24 1000.0(0)/mV 16 0 29 -2708 0 II
E06918.mat 16x1+24 1000.0(0)/mV 16 0 63 -3897 0 III
E06918.mat 16x1+24 1000.0(0)/mV 16 0 2 445 0 aVR
E06918.mat 16x1+24 1000.0(0)/mV 16 0 -48 2686 0 aVL
E06918.mat 16x1+24 1000.0(0)/mV 16 0 46 -3304 0 aVF
E06918.mat 16x1+24 1000.0(0)/mV 16 0 -14 -29019 0 V1
E06918.mat 16x1+24 1000.0(0)/mV 16 0 -136 -6249 0 V2
E06918.mat 16x1+24 1000.0(0)/mV 16 0 -43 10252 0 V3
E06918.mat 16x1+24 1000.0(0)/mV 16 0 -73 -9955 0 V4
E06918.mat 16x1+24 1000.0(0)/mV 16 0 -63 2134 0 V5
E06918.mat 16x1+24 1000.0(0)/mV 16 0 -53 3365 0 V6
# Age: 70
# Sex: Female
# Dx: 270492004,426177001,251146004,284470004,284470004
# Rx: Unknown
# Hx: Unknown