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

File: <base>/training/georgia/g5/E04885.hea (712 bytes) 
E04885 12 500 5000
E04885.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15182 0 I
E04885.mat 16x1+24 1000.0(0)/mV 16 0 39 27131 0 II
E04885.mat 16x1+24 1000.0(0)/mV 16 0 87 -23313 0 III
E04885.mat 16x1+24 1000.0(0)/mV 16 0 4 26755 0 aVR
E04885.mat 16x1+24 1000.0(0)/mV 16 0 -68 4067 0 aVL
E04885.mat 16x1+24 1000.0(0)/mV 16 0 63 -30852 0 aVF
E04885.mat 16x1+24 1000.0(0)/mV 16 0 97 -6724 0 V1
E04885.mat 16x1+24 1000.0(0)/mV 16 0 9 9896 0 V2
E04885.mat 16x1+24 1000.0(0)/mV 16 0 58 -18549 0 V3
E04885.mat 16x1+24 1000.0(0)/mV 16 0 9 -3285 0 V4
E04885.mat 16x1+24 1000.0(0)/mV 16 0 -29 9191 0 V5
E04885.mat 16x1+24 1000.0(0)/mV 16 0 -165 16997 0 V6
# Age: 76
# Sex: Male
# Dx: 59118001,164889003
# Rx: Unknown
# Hx: Unknown