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

File: <base>/training/georgia/g10/E09115.hea (717 bytes) 
E09115 12 500 5000
E09115.mat 16x1+24 1000.0(0)/mV 16 0 -53 4077 0 I
E09115.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22524 0 II
E09115.mat 16x1+24 1000.0(0)/mV 16 0 4 -25963 0 III
E09115.mat 16x1+24 1000.0(0)/mV 16 0 51 9299 0 aVR
E09115.mat 16x1+24 1000.0(0)/mV 16 0 -29 14876 0 aVL
E09115.mat 16x1+24 1000.0(0)/mV 16 0 -21 -24219 0 aVF
E09115.mat 16x1+24 1000.0(0)/mV 16 0 29 2874 0 V1
E09115.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13319 0 V2
E09115.mat 16x1+24 1000.0(0)/mV 16 0 -97 -3766 0 V3
E09115.mat 16x1+24 1000.0(0)/mV 16 0 -97 10359 0 V4
E09115.mat 16x1+24 1000.0(0)/mV 16 0 -78 7511 0 V5
E09115.mat 16x1+24 1000.0(0)/mV 16 0 -78 -490 0 V6
# Age: 79
# Sex: Male
# Dx: 164890007,233917008
# Rx: Unknown
# Hx: Unknown