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

File: <base>/training/georgia/g1/E00272.hea (730 bytes) 
E00272 12 500 5000
E00272.mat 16x1+24 1000.0(0)/mV 16 0 -14 23851 0 I
E00272.mat 16x1+24 1000.0(0)/mV 16 0 -146 -32696 0 II
E00272.mat 16x1+24 1000.0(0)/mV 16 0 -131 8634 0 III
E00272.mat 16x1+24 1000.0(0)/mV 16 0 80 -28547 0 aVR
E00272.mat 16x1+24 1000.0(0)/mV 16 0 58 7582 0 aVL
E00272.mat 16x1+24 1000.0(0)/mV 16 0 -139 20726 0 aVF
E00272.mat 16x1+24 1000.0(0)/mV 16 0 58 4316 0 V1
E00272.mat 16x1+24 1000.0(0)/mV 16 0 -14 -14638 0 V2
E00272.mat 16x1+24 1000.0(0)/mV 16 0 -24 -16329 0 V3
E00272.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15398 0 V4
E00272.mat 16x1+24 1000.0(0)/mV 16 0 -34 18480 0 V5
E00272.mat 16x1+24 1000.0(0)/mV 16 0 -14 32205 0 V6
# Age: 62
# Sex: Male
# Dx: 17338001,17338001,47665007
# Rx: Unknown
# Hx: Unknown