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

File: <base>/training/georgia/g7/E06905.hea (734 bytes) 
E06905 12 500 5000
E06905.mat 16x1+24 1000.0(0)/mV 16 0 -43 -15323 0 I
E06905.mat 16x1+24 1000.0(0)/mV 16 0 -19 -5652 0 II
E06905.mat 16x1+24 1000.0(0)/mV 16 0 24 9058 0 III
E06905.mat 16x1+24 1000.0(0)/mV 16 0 31 9948 0 aVR
E06905.mat 16x1+24 1000.0(0)/mV 16 0 -34 -11851 0 aVL
E06905.mat 16x1+24 1000.0(0)/mV 16 0 2 2069 0 aVF
E06905.mat 16x1+24 1000.0(0)/mV 16 0 0 -20116 0 V1
E06905.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9068 0 V2
E06905.mat 16x1+24 1000.0(0)/mV 16 0 0 -9367 0 V3
E06905.mat 16x1+24 1000.0(0)/mV 16 0 -14 11444 0 V4
E06905.mat 16x1+24 1000.0(0)/mV 16 0 -14 -1900 0 V5
E06905.mat 16x1+24 1000.0(0)/mV 16 0 -19 -2310 0 V6
# Age: 81
# Sex: Male
# Dx: 428750005,426177001,284470004,284470004
# Rx: Unknown
# Hx: Unknown