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

File: <base>/training/georgia/g1/E00902.hea (732 bytes) 
E00902 12 500 5000
E00902.mat 16x1+24 1000.0(0)/mV 16 0 -19 16189 0 I
E00902.mat 16x1+24 1000.0(0)/mV 16 0 -58 -21410 0 II
E00902.mat 16x1+24 1000.0(0)/mV 16 0 -39 27934 0 III
E00902.mat 16x1+24 1000.0(0)/mV 16 0 39 2697 0 aVR
E00902.mat 16x1+24 1000.0(0)/mV 16 0 9 27383 0 aVL
E00902.mat 16x1+24 1000.0(0)/mV 16 0 -48 -28938 0 aVF
E00902.mat 16x1+24 1000.0(0)/mV 16 0 97 17987 0 V1
E00902.mat 16x1+24 1000.0(0)/mV 16 0 58 19982 0 V2
E00902.mat 16x1+24 1000.0(0)/mV 16 0 -58 18713 0 V3
E00902.mat 16x1+24 1000.0(0)/mV 16 0 -9 9483 0 V4
E00902.mat 16x1+24 1000.0(0)/mV 16 0 -9 11836 0 V5
E00902.mat 16x1+24 1000.0(0)/mV 16 0 -29 -3389 0 V6
# Age: 72
# Sex: Female
# Dx: 67741000119109,270492004,426177001
# Rx: Unknown
# Hx: Unknown