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

File: <base>/training/georgia/g10/E09073.hea (712 bytes) 
E09073 12 500 5000
E09073.mat 16x1+24 1000.0(0)/mV 16 0 -29 5686 0 I
E09073.mat 16x1+24 1000.0(0)/mV 16 0 -458 -22729 0 II
E09073.mat 16x1+24 1000.0(0)/mV 16 0 -429 -28204 0 III
E09073.mat 16x1+24 1000.0(0)/mV 16 0 244 8289 0 aVR
E09073.mat 16x1+24 1000.0(0)/mV 16 0 200 17035 0 aVL
E09073.mat 16x1+24 1000.0(0)/mV 16 0 -444 -25554 0 aVF
E09073.mat 16x1+24 1000.0(0)/mV 16 0 126 -19258 0 V1
E09073.mat 16x1+24 1000.0(0)/mV 16 0 68 -27442 0 V2
E09073.mat 16x1+24 1000.0(0)/mV 16 0 78 1202 0 V3
E09073.mat 16x1+24 1000.0(0)/mV 16 0 48 14531 0 V4
E09073.mat 16x1+24 1000.0(0)/mV 16 0 78 -6973 0 V5
E09073.mat 16x1+24 1000.0(0)/mV 16 0 39 29220 0 V6
# Age: 65
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown