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

File: <base>/training/georgia/g10/E09849.hea (733 bytes)
E09849 12 500 5000
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -29 -23683 0 I
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -102 16688 0 II
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -73 -24804 0 III
E09849.mat 16x1+24 1000.0(0)/mV 16 0 65 -29314 0 aVR
E09849.mat 16x1+24 1000.0(0)/mV 16 0 21 750 0 aVL
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -87 28778 0 aVF
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -102 -18781 0 V1
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -180 16458 0 V2
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -136 -27607 0 V3
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -175 -22807 0 V4
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -131 -30505 0 V5
E09849.mat 16x1+24 1000.0(0)/mV 16 0 -107 -29849 0 V6
# Age: 24
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown