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

File: <base>/training/georgia/g6/E05382.hea (728 bytes) 
E05382 12 500 5000
E05382.mat 16x1+24 1000.0(0)/mV 16 0 48 -9455 0 I
E05382.mat 16x1+24 1000.0(0)/mV 16 0 39 -3113 0 II
E05382.mat 16x1+24 1000.0(0)/mV 16 0 -9 6322 0 III
E05382.mat 16x1+24 1000.0(0)/mV 16 0 -43 6183 0 aVR
E05382.mat 16x1+24 1000.0(0)/mV 16 0 29 -7577 0 aVL
E05382.mat 16x1+24 1000.0(0)/mV 16 0 14 1895 0 aVF
E05382.mat 16x1+24 1000.0(0)/mV 16 0 -97 -17629 0 V1
E05382.mat 16x1+24 1000.0(0)/mV 16 0 -9 27430 0 V2
E05382.mat 16x1+24 1000.0(0)/mV 16 0 126 -19322 0 V3
E05382.mat 16x1+24 1000.0(0)/mV 16 0 -19 32604 0 V4
E05382.mat 16x1+24 1000.0(0)/mV 16 0 39 -25217 0 V5
E05382.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24317 0 V6
# Age: 85
# Sex: Female
# Dx: 164889003,164934002,164917005
# Rx: Unknown
# Hx: Unknown