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

File: <base>/training/georgia/g6/E05262.hea (719 bytes) 
E05262 12 500 5000
E05262.mat 16x1+24 1000.0(0)/mV 16 0 126 -25428 0 I
E05262.mat 16x1+24 1000.0(0)/mV 16 0 156 17501 0 II
E05262.mat 16x1+24 1000.0(0)/mV 16 0 29 -23818 0 III
E05262.mat 16x1+24 1000.0(0)/mV 16 0 -141 -28708 0 aVR
E05262.mat 16x1+24 1000.0(0)/mV 16 0 48 -495 0 aVL
E05262.mat 16x1+24 1000.0(0)/mV 16 0 92 29626 0 aVF
E05262.mat 16x1+24 1000.0(0)/mV 16 0 97 19100 0 V1
E05262.mat 16x1+24 1000.0(0)/mV 16 0 263 11567 0 V2
E05262.mat 16x1+24 1000.0(0)/mV 16 0 234 15896 0 V3
E05262.mat 16x1+24 1000.0(0)/mV 16 0 29 32551 0 V4
E05262.mat 16x1+24 1000.0(0)/mV 16 0 -39 9439 0 V5
E05262.mat 16x1+24 1000.0(0)/mV 16 0 -107 6078 0 V6
# Age: 50
# Sex: Male
# Dx: 428750005,164873001
# Rx: Unknown
# Hx: Unknown