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

File: <base>/training/georgia/g10/E09791.hea (751 bytes) 
E09791 12 500 5000
E09791.mat 16x1+24 1000.0(0)/mV 16 0 -136 26016 0 I
E09791.mat 16x1+24 1000.0(0)/mV 16 0 29 -22951 0 II
E09791.mat 16x1+24 1000.0(0)/mV 16 0 165 16915 0 III
E09791.mat 16x1+24 1000.0(0)/mV 16 0 53 30612 0 aVR
E09791.mat 16x1+24 1000.0(0)/mV 16 0 -151 4409 0 aVL
E09791.mat 16x1+24 1000.0(0)/mV 16 0 97 29566 0 aVF
E09791.mat 16x1+24 1000.0(0)/mV 16 0 322 -6810 0 V1
E09791.mat 16x1+24 1000.0(0)/mV 16 0 566 -10390 0 V2
E09791.mat 16x1+24 1000.0(0)/mV 16 0 653 2842 0 V3
E09791.mat 16x1+24 1000.0(0)/mV 16 0 253 9089 0 V4
E09791.mat 16x1+24 1000.0(0)/mV 16 0 -146 -353 0 V5
E09791.mat 16x1+24 1000.0(0)/mV 16 0 -312 -5605 0 V6
# Age: 59
# Sex: Male
# Dx: 164873001,270492004,426177001,164917005,284470004
# Rx: Unknown
# Hx: Unknown