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

File: <base>/training/georgia/g5/E04582.hea (727 bytes) 
E04582 12 500 5000
E04582.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12200 0 I
E04582.mat 16x1+24 1000.0(0)/mV 16 0 107 -18983 0 II
E04582.mat 16x1+24 1000.0(0)/mV 16 0 126 -7427 0 III
E04582.mat 16x1+24 1000.0(0)/mV 16 0 -43 15358 0 aVR
E04582.mat 16x1+24 1000.0(0)/mV 16 0 -73 -2375 0 aVL
E04582.mat 16x1+24 1000.0(0)/mV 16 0 117 -13808 0 aVF
E04582.mat 16x1+24 1000.0(0)/mV 16 0 -87 31878 0 V1
E04582.mat 16x1+24 1000.0(0)/mV 16 0 -214 -27234 0 V2
E04582.mat 16x1+24 1000.0(0)/mV 16 0 244 23853 0 V3
E04582.mat 16x1+24 1000.0(0)/mV 16 0 244 -16074 0 V4
E04582.mat 16x1+24 1000.0(0)/mV 16 0 146 -19770 0 V5
E04582.mat 16x1+24 1000.0(0)/mV 16 0 107 961 0 V6
# Age: 71
# Sex: Male
# Dx: 251146004,164934002
# Rx: Unknown
# Hx: Unknown