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

File: <base>/training/georgia/g1/E00814.hea (725 bytes) 
E00814 12 500 5000
E00814.mat 16x1+24 1000.0(0)/mV 16 0 -87 -13952 0 I
E00814.mat 16x1+24 1000.0(0)/mV 16 0 -87 -19878 0 II
E00814.mat 16x1+24 1000.0(0)/mV 16 0 0 -6284 0 III
E00814.mat 16x1+24 1000.0(0)/mV 16 0 87 16868 0 aVR
E00814.mat 16x1+24 1000.0(0)/mV 16 0 -43 29354 0 aVL
E00814.mat 16x1+24 1000.0(0)/mV 16 0 -43 20287 0 aVF
E00814.mat 16x1+24 1000.0(0)/mV 16 0 29 -22707 0 V1
E00814.mat 16x1+24 1000.0(0)/mV 16 0 -185 22269 0 V2
E00814.mat 16x1+24 1000.0(0)/mV 16 0 -204 9241 0 V3
E00814.mat 16x1+24 1000.0(0)/mV 16 0 -214 -16351 0 V4
E00814.mat 16x1+24 1000.0(0)/mV 16 0 -165 12501 0 V5
E00814.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4735 0 V6
# Age: 71
# Sex: Male
# Dx: 111975006,164873001
# Rx: Unknown
# Hx: Unknown