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

File: <base>/training/georgia/g1/E00572.hea (735 bytes) 
E00572 12 500 5000
E00572.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22390 0 I
E00572.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21118 0 II
E00572.mat 16x1+24 1000.0(0)/mV 16 0 0 1243 0 III
E00572.mat 16x1+24 1000.0(0)/mV 16 0 9 21311 0 aVR
E00572.mat 16x1+24 1000.0(0)/mV 16 0 -4 -11645 0 aVL
E00572.mat 16x1+24 1000.0(0)/mV 16 0 -4 -10187 0 aVF
E00572.mat 16x1+24 1000.0(0)/mV 16 0 -146 -1039 0 V1
E00572.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10544 0 V2
E00572.mat 16x1+24 1000.0(0)/mV 16 0 -68 7472 0 V3
E00572.mat 16x1+24 1000.0(0)/mV 16 0 -39 20975 0 V4
E00572.mat 16x1+24 1000.0(0)/mV 16 0 0 -24951 0 V5
E00572.mat 16x1+24 1000.0(0)/mV 16 0 9 19910 0 V6
# Age: 80
# Sex: Male
# Dx: 426177001,425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown