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

File: <base>/training/georgia/g7/E06292.hea (711 bytes) 
E06292 12 500 5000
E06292.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10310 0 I
E06292.mat 16x1+24 1000.0(0)/mV 16 0 -68 -6694 0 II
E06292.mat 16x1+24 1000.0(0)/mV 16 0 -19 3585 0 III
E06292.mat 16x1+24 1000.0(0)/mV 16 0 58 8363 0 aVR
E06292.mat 16x1+24 1000.0(0)/mV 16 0 -14 26033 0 aVL
E06292.mat 16x1+24 1000.0(0)/mV 16 0 -43 31163 0 aVF
E06292.mat 16x1+24 1000.0(0)/mV 16 0 39 -32224 0 V1
E06292.mat 16x1+24 1000.0(0)/mV 16 0 -68 12149 0 V2
E06292.mat 16x1+24 1000.0(0)/mV 16 0 9 -13189 0 V3
E06292.mat 16x1+24 1000.0(0)/mV 16 0 -97 21046 0 V4
E06292.mat 16x1+24 1000.0(0)/mV 16 0 -214 -6314 0 V5
E06292.mat 16x1+24 1000.0(0)/mV 16 0 165 -23473 0 V6
# Age: 78
# Sex: Male
# Dx: 425623009
# Rx: Unknown
# Hx: Unknown