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

File: <base>/training/georgia/g8/E07962.hea (710 bytes) 
E07962 12 500 5000
E07962.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15620 0 I
E07962.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10576 0 II
E07962.mat 16x1+24 1000.0(0)/mV 16 0 -19 5653 0 III
E07962.mat 16x1+24 1000.0(0)/mV 16 0 39 13094 0 aVR
E07962.mat 16x1+24 1000.0(0)/mV 16 0 -4 -10302 0 aVL
E07962.mat 16x1+24 1000.0(0)/mV 16 0 -34 -2327 0 aVF
E07962.mat 16x1+24 1000.0(0)/mV 16 0 68 -18922 0 V1
E07962.mat 16x1+24 1000.0(0)/mV 16 0 87 1235 0 V2
E07962.mat 16x1+24 1000.0(0)/mV 16 0 29 878 0 V3
E07962.mat 16x1+24 1000.0(0)/mV 16 0 -9 904 0 V4
E07962.mat 16x1+24 1000.0(0)/mV 16 0 -204 -17651 0 V5
E07962.mat 16x1+24 1000.0(0)/mV 16 0 -195 -15937 0 V6
# Age: 81
# Sex: Female
# Dx: 251146004
# Rx: Unknown
# Hx: Unknown