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

File: <base>/training/georgia/g8/E07815.hea (714 bytes) 
E07815 12 500 5000
E07815.mat 16x1+24 1000.0(0)/mV 16 0 78 -8549 0 I
E07815.mat 16x1+24 1000.0(0)/mV 16 0 34 23324 0 II
E07815.mat 16x1+24 1000.0(0)/mV 16 0 -43 31734 0 III
E07815.mat 16x1+24 1000.0(0)/mV 16 0 -56 25452 0 aVR
E07815.mat 16x1+24 1000.0(0)/mV 16 0 61 -20090 0 aVL
E07815.mat 16x1+24 1000.0(0)/mV 16 0 -4 -5013 0 aVF
E07815.mat 16x1+24 1000.0(0)/mV 16 0 39 20070 0 V1
E07815.mat 16x1+24 1000.0(0)/mV 16 0 68 6727 0 V2
E07815.mat 16x1+24 1000.0(0)/mV 16 0 43 7392 0 V3
E07815.mat 16x1+24 1000.0(0)/mV 16 0 9 22792 0 V4
E07815.mat 16x1+24 1000.0(0)/mV 16 0 24 -28126 0 V5
E07815.mat 16x1+24 1000.0(0)/mV 16 0 43 -20628 0 V6
# Age: 50
# Sex: Female
# Dx: 270492004,426177001
# Rx: Unknown
# Hx: Unknown