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

File: <base>/training/georgia/g9/E08842.hea (723 bytes) 
E08842 12 500 5000
E08842.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30235 0 I
E08842.mat 16x1+24 1000.0(0)/mV 16 0 -9 23579 0 II
E08842.mat 16x1+24 1000.0(0)/mV 16 0 19 -12542 0 III
E08842.mat 16x1+24 1000.0(0)/mV 16 0 19 -29548 0 aVR
E08842.mat 16x1+24 1000.0(0)/mV 16 0 -24 -8733 0 aVL
E08842.mat 16x1+24 1000.0(0)/mV 16 0 4 -27418 0 aVF
E08842.mat 16x1+24 1000.0(0)/mV 16 0 -29 32699 0 V1
E08842.mat 16x1+24 1000.0(0)/mV 16 0 58 -16754 0 V2
E08842.mat 16x1+24 1000.0(0)/mV 16 0 -48 -31004 0 V3
E08842.mat 16x1+24 1000.0(0)/mV 16 0 -58 20693 0 V4
E08842.mat 16x1+24 1000.0(0)/mV 16 0 -39 25536 0 V5
E08842.mat 16x1+24 1000.0(0)/mV 16 0 -48 -28504 0 V6
# Age: 55
# Sex: Male
# Dx: 445118002,426177001
# Rx: Unknown
# Hx: Unknown