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

File: <base>/training/georgia/g2/E01328.hea (719 bytes) 
E01328 12 500 5000
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -370 12005 0 I
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -331 -30572 0 II
E01328.mat 16x1+24 1000.0(0)/mV 16 0 39 22150 0 III
E01328.mat 16x1+24 1000.0(0)/mV 16 0 351 9253 0 aVR
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -204 -4812 0 aVL
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -146 -3407 0 aVF
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -107 12963 0 V1
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -126 9397 0 V2
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -107 -31697 0 V3
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -97 23558 0 V4
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -107 18895 0 V5
E01328.mat 16x1+24 1000.0(0)/mV 16 0 -107 4257 0 V6
# Age: 78
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown