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

File: <base>/training/georgia/g8/E07563.hea (712 bytes) 
E07563 12 500 5000
E07563.mat 16x1+24 1000.0(0)/mV 16 0 -68 -28217 0 I
E07563.mat 16x1+24 1000.0(0)/mV 16 0 -58 27323 0 II
E07563.mat 16x1+24 1000.0(0)/mV 16 0 9 -10286 0 III
E07563.mat 16x1+24 1000.0(0)/mV 16 0 63 -32307 0 aVR
E07563.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8791 0 aVL
E07563.mat 16x1+24 1000.0(0)/mV 16 0 -24 -24095 0 aVF
E07563.mat 16x1+24 1000.0(0)/mV 16 0 48 -31512 0 V1
E07563.mat 16x1+24 1000.0(0)/mV 16 0 39 -17977 0 V2
E07563.mat 16x1+24 1000.0(0)/mV 16 0 29 -2815 0 V3
E07563.mat 16x1+24 1000.0(0)/mV 16 0 29 -25258 0 V4
E07563.mat 16x1+24 1000.0(0)/mV 16 0 0 29768 0 V5
E07563.mat 16x1+24 1000.0(0)/mV 16 0 -19 15288 0 V6
# Age: 66
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown