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

File: <base>/training/georgia/g9/E08798.hea (719 bytes) 
E08798 12 500 5000
E08798.mat 16x1+24 1000.0(0)/mV 16 0 0 -12039 0 I
E08798.mat 16x1+24 1000.0(0)/mV 16 0 -53 9063 0 II
E08798.mat 16x1+24 1000.0(0)/mV 16 0 -53 21374 0 III
E08798.mat 16x1+24 1000.0(0)/mV 16 0 26 1279 0 aVR
E08798.mat 16x1+24 1000.0(0)/mV 16 0 26 -16914 0 aVL
E08798.mat 16x1+24 1000.0(0)/mV 16 0 -53 15211 0 aVF
E08798.mat 16x1+24 1000.0(0)/mV 16 0 -14 -32165 0 V1
E08798.mat 16x1+24 1000.0(0)/mV 16 0 -34 -25558 0 V2
E08798.mat 16x1+24 1000.0(0)/mV 16 0 -63 -17602 0 V3
E08798.mat 16x1+24 1000.0(0)/mV 16 0 -53 -24273 0 V4
E08798.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11288 0 V5
E08798.mat 16x1+24 1000.0(0)/mV 16 0 -34 -10899 0 V6
# Age: 54
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown