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

File: <base>/training/georgia/g7/E06946.hea (713 bytes) 
E06946 12 500 5000
E06946.mat 16x1+24 1000.0(0)/mV 16 0 97 13379 0 I
E06946.mat 16x1+24 1000.0(0)/mV 16 0 107 18058 0 II
E06946.mat 16x1+24 1000.0(0)/mV 16 0 9 4918 0 III
E06946.mat 16x1+24 1000.0(0)/mV 16 0 -102 -15734 0 aVR
E06946.mat 16x1+24 1000.0(0)/mV 16 0 43 3889 0 aVL
E06946.mat 16x1+24 1000.0(0)/mV 16 0 58 11487 0 aVF
E06946.mat 16x1+24 1000.0(0)/mV 16 0 136 -13779 0 V1
E06946.mat 16x1+24 1000.0(0)/mV 16 0 87 -12978 0 V2
E06946.mat 16x1+24 1000.0(0)/mV 16 0 78 3322 0 V3
E06946.mat 16x1+24 1000.0(0)/mV 16 0 58 30657 0 V4
E06946.mat 16x1+24 1000.0(0)/mV 16 0 48 437 0 V5
E06946.mat 16x1+24 1000.0(0)/mV 16 0 19 -5250 0 V6
# Age: 80
# Sex: Female
# Dx: 428750005,164890007
# Rx: Unknown
# Hx: Unknown