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

File: <base>/training/georgia/g10/E09690.hea (725 bytes) 
E09690 12 500 5000
E09690.mat 16x1+24 1000.0(0)/mV 16 0 9 -3687 0 I
E09690.mat 16x1+24 1000.0(0)/mV 16 0 87 -22824 0 II
E09690.mat 16x1+24 1000.0(0)/mV 16 0 78 -18631 0 III
E09690.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19252 0 aVR
E09690.mat 16x1+24 1000.0(0)/mV 16 0 -34 7811 0 aVL
E09690.mat 16x1+24 1000.0(0)/mV 16 0 82 11914 0 aVF
E09690.mat 16x1+24 1000.0(0)/mV 16 0 58 32610 0 V1
E09690.mat 16x1+24 1000.0(0)/mV 16 0 29 -19781 0 V2
E09690.mat 16x1+24 1000.0(0)/mV 16 0 126 -18456 0 V3
E09690.mat 16x1+24 1000.0(0)/mV 16 0 19 27992 0 V4
E09690.mat 16x1+24 1000.0(0)/mV 16 0 0 -29517 0 V5
E09690.mat 16x1+24 1000.0(0)/mV 16 0 58 -1300 0 V6
# Age: 66
# Sex: Male
# Dx: 39732003,425623009,164934002
# Rx: Unknown
# Hx: Unknown