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

File: <base>/training/georgia/g6/E05835.hea (717 bytes) 
E05835 12 500 5000
E05835.mat 16x1+24 1000.0(0)/mV 16 0 9 10481 0 I
E05835.mat 16x1+24 1000.0(0)/mV 16 0 0 -1525 0 II
E05835.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12025 0 III
E05835.mat 16x1+24 1000.0(0)/mV 16 0 -4 -4646 0 aVR
E05835.mat 16x1+24 1000.0(0)/mV 16 0 9 11154 0 aVL
E05835.mat 16x1+24 1000.0(0)/mV 16 0 -4 -6723 0 aVF
E05835.mat 16x1+24 1000.0(0)/mV 16 0 -409 2181 0 V1
E05835.mat 16x1+24 1000.0(0)/mV 16 0 -58 -18483 0 V2
E05835.mat 16x1+24 1000.0(0)/mV 16 0 -68 14545 0 V3
E05835.mat 16x1+24 1000.0(0)/mV 16 0 -224 -23312 0 V4
E05835.mat 16x1+24 1000.0(0)/mV 16 0 -39 5459 0 V5
E05835.mat 16x1+24 1000.0(0)/mV 16 0 19 -2387 0 V6
# Age: 64
# Sex: Female
# Dx: 164889003,251146004
# Rx: Unknown
# Hx: Unknown