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

File: <base>/training/georgia/g6/E05482.hea (740 bytes) 
E05482 12 500 5000
E05482.mat 16x1+24 1000.0(0)/mV 16 0 -29 -23916 0 I
E05482.mat 16x1+24 1000.0(0)/mV 16 0 -29 24535 0 II
E05482.mat 16x1+24 1000.0(0)/mV 16 0 0 -16408 0 III
E05482.mat 16x1+24 1000.0(0)/mV 16 0 29 32253 0 aVR
E05482.mat 16x1+24 1000.0(0)/mV 16 0 -14 -3632 0 aVL
E05482.mat 16x1+24 1000.0(0)/mV 16 0 -14 -28604 0 aVF
E05482.mat 16x1+24 1000.0(0)/mV 16 0 -9 28694 0 V1
E05482.mat 16x1+24 1000.0(0)/mV 16 0 -29 -18985 0 V2
E05482.mat 16x1+24 1000.0(0)/mV 16 0 -39 -14204 0 V3
E05482.mat 16x1+24 1000.0(0)/mV 16 0 -19 -497 0 V4
E05482.mat 16x1+24 1000.0(0)/mV 16 0 0 -12405 0 V5
E05482.mat 16x1+24 1000.0(0)/mV 16 0 -9 -9319 0 V6
# Age: 65
# Sex: Male
# Dx: 426177001,425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown