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

File: <base>/training/georgia/g10/E09019.hea (721 bytes) 
E09019 12 500 5000
E09019.mat 16x1+24 1000.0(0)/mV 16 0 -9 3329 0 I
E09019.mat 16x1+24 1000.0(0)/mV 16 0 -78 2171 0 II
E09019.mat 16x1+24 1000.0(0)/mV 16 0 -68 -964 0 III
E09019.mat 16x1+24 1000.0(0)/mV 16 0 43 29927 0 aVR
E09019.mat 16x1+24 1000.0(0)/mV 16 0 29 2114 0 aVL
E09019.mat 16x1+24 1000.0(0)/mV 16 0 -73 -32084 0 aVF
E09019.mat 16x1+24 1000.0(0)/mV 16 0 -165 4397 0 V1
E09019.mat 16x1+24 1000.0(0)/mV 16 0 9 1682 0 V2
E09019.mat 16x1+24 1000.0(0)/mV 16 0 -43 -29940 0 V3
E09019.mat 16x1+24 1000.0(0)/mV 16 0 -58 -12391 0 V4
E09019.mat 16x1+24 1000.0(0)/mV 16 0 -107 5948 0 V5
E09019.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29956 0 V6
# Age: 55
# Sex: Male
# Dx: 67741000119109,164934002
# Rx: Unknown
# Hx: Unknown