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

File: <base>/training/georgia/g2/E01889.hea (720 bytes)
E01889 12 500 5000
E01889.mat 16x1+24 1000.0(0)/mV 16 0 48 -12832 0 I
E01889.mat 16x1+24 1000.0(0)/mV 16 0 39 -4169 0 II
E01889.mat 16x1+24 1000.0(0)/mV 16 0 -9 8538 0 III
E01889.mat 16x1+24 1000.0(0)/mV 16 0 -43 8674 0 aVR
E01889.mat 16x1+24 1000.0(0)/mV 16 0 29 -10499 0 aVL
E01889.mat 16x1+24 1000.0(0)/mV 16 0 14 2359 0 aVF
E01889.mat 16x1+24 1000.0(0)/mV 16 0 19 -30591 0 V1
E01889.mat 16x1+24 1000.0(0)/mV 16 0 263 10091 0 V2
E01889.mat 16x1+24 1000.0(0)/mV 16 0 68 -10763 0 V3
E01889.mat 16x1+24 1000.0(0)/mV 16 0 185 25336 0 V4
E01889.mat 16x1+24 1000.0(0)/mV 16 0 58 -5614 0 V5
E01889.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9751 0 V6
# Age: 59
# Sex: Male
# Dx: 428750005,67741000119109
# Rx: Unknown
# Hx: Unknown