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

File: <base>/training/georgia/g10/E09621.hea (708 bytes) 
E09621 12 500 5000
E09621.mat 16x1+24 1000.0(0)/mV 16 0 -53 -15163 0 I
E09621.mat 16x1+24 1000.0(0)/mV 16 0 -102 -9937 0 II
E09621.mat 16x1+24 1000.0(0)/mV 16 0 -48 5230 0 III
E09621.mat 16x1+24 1000.0(0)/mV 16 0 78 -20277 0 aVR
E09621.mat 16x1+24 1000.0(0)/mV 16 0 -2 22874 0 aVL
E09621.mat 16x1+24 1000.0(0)/mV 16 0 -75 -2192 0 aVF
E09621.mat 16x1+24 1000.0(0)/mV 16 0 43 1940 0 V1
E09621.mat 16x1+24 1000.0(0)/mV 16 0 34 -3714 0 V2
E09621.mat 16x1+24 1000.0(0)/mV 16 0 -4 -14369 0 V3
E09621.mat 16x1+24 1000.0(0)/mV 16 0 -24 -31685 0 V4
E09621.mat 16x1+24 1000.0(0)/mV 16 0 0 -21199 0 V5
E09621.mat 16x1+24 1000.0(0)/mV 16 0 -53 -6885 0 V6
# Age: 67
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown