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

File: <base>/training/georgia/g10/E09600.hea (722 bytes) 
E09600 12 500 5000
E09600.mat 16x1+24 1000.0(0)/mV 16 0 -53 -26672 0 I
E09600.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13293 0 II
E09600.mat 16x1+24 1000.0(0)/mV 16 0 -14 13193 0 III
E09600.mat 16x1+24 1000.0(0)/mV 16 0 61 19535 0 aVR
E09600.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19887 0 aVL
E09600.mat 16x1+24 1000.0(0)/mV 16 0 -41 53 0 aVF
E09600.mat 16x1+24 1000.0(0)/mV 16 0 29 -30671 0 V1
E09600.mat 16x1+24 1000.0(0)/mV 16 0 58 -17420 0 V2
E09600.mat 16x1+24 1000.0(0)/mV 16 0 39 -30409 0 V3
E09600.mat 16x1+24 1000.0(0)/mV 16 0 48 -13568 0 V4
E09600.mat 16x1+24 1000.0(0)/mV 16 0 34 31263 0 V5
E09600.mat 16x1+24 1000.0(0)/mV 16 0 19 -24722 0 V6
# Age: 78
# Sex: Female
# Dx: 426177001,164934002
# Rx: Unknown
# Hx: Unknown