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

File: <base>/training/georgia/g1/E00722.hea (724 bytes) 
E00722 12 500 5000
E00722.mat 16x1+24 1000.0(0)/mV 16 0 -136 22558 0 I
E00722.mat 16x1+24 1000.0(0)/mV 16 0 -68 30501 0 II
E00722.mat 16x1+24 1000.0(0)/mV 16 0 68 8535 0 III
E00722.mat 16x1+24 1000.0(0)/mV 16 0 102 -26647 0 aVR
E00722.mat 16x1+24 1000.0(0)/mV 16 0 -102 -25808 0 aVL
E00722.mat 16x1+24 1000.0(0)/mV 16 0 0 -13282 0 aVF
E00722.mat 16x1+24 1000.0(0)/mV 16 0 68 -13486 0 V1
E00722.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30373 0 V2
E00722.mat 16x1+24 1000.0(0)/mV 16 0 -146 21720 0 V3
E00722.mat 16x1+24 1000.0(0)/mV 16 0 -156 15085 0 V4
E00722.mat 16x1+24 1000.0(0)/mV 16 0 -117 4619 0 V5
E00722.mat 16x1+24 1000.0(0)/mV 16 0 9 14359 0 V6
# Age: 60
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown