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

File: <base>/training/georgia/g10/E09855.hea (707 bytes) 
E09855 12 500 5000
E09855.mat 16x1+24 1000.0(0)/mV 16 0 78 74 0 I
E09855.mat 16x1+24 1000.0(0)/mV 16 0 87 -30984 0 II
E09855.mat 16x1+24 1000.0(0)/mV 16 0 9 -30847 0 III
E09855.mat 16x1+24 1000.0(0)/mV 16 0 -82 -17381 0 aVR
E09855.mat 16x1+24 1000.0(0)/mV 16 0 34 15781 0 aVL
E09855.mat 16x1+24 1000.0(0)/mV 16 0 48 1914 0 aVF
E09855.mat 16x1+24 1000.0(0)/mV 16 0 -146 12054 0 V1
E09855.mat 16x1+24 1000.0(0)/mV 16 0 78 18024 0 V2
E09855.mat 16x1+24 1000.0(0)/mV 16 0 165 31475 0 V3
E09855.mat 16x1+24 1000.0(0)/mV 16 0 107 -13900 0 V4
E09855.mat 16x1+24 1000.0(0)/mV 16 0 146 -9859 0 V5
E09855.mat 16x1+24 1000.0(0)/mV 16 0 87 -17291 0 V6
# Age: 82
# Sex: Female
# Dx: 47665007
# Rx: Unknown
# Hx: Unknown