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

File: <base>/training/georgia/g10/E09390.hea (719 bytes) 
E09390 12 500 5000
E09390.mat 16x1+24 1000.0(0)/mV 16 0 -165 16636 0 I
E09390.mat 16x1+24 1000.0(0)/mV 16 0 9 -29197 0 II
E09390.mat 16x1+24 1000.0(0)/mV 16 0 175 19384 0 III
E09390.mat 16x1+24 1000.0(0)/mV 16 0 78 -26385 0 aVR
E09390.mat 16x1+24 1000.0(0)/mV 16 0 -170 31374 0 aVL
E09390.mat 16x1+24 1000.0(0)/mV 16 0 92 -4963 0 aVF
E09390.mat 16x1+24 1000.0(0)/mV 16 0 126 31834 0 V1
E09390.mat 16x1+24 1000.0(0)/mV 16 0 0 -28218 0 V2
E09390.mat 16x1+24 1000.0(0)/mV 16 0 -9 -1852 0 V3
E09390.mat 16x1+24 1000.0(0)/mV 16 0 9 -16623 0 V4
E09390.mat 16x1+24 1000.0(0)/mV 16 0 -39 -2204 0 V5
E09390.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9722 0 V6
# Age: 61
# Sex: Male
# Dx: 445211001,428750005
# Rx: Unknown
# Hx: Unknown