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

File: <base>/training/georgia/g10/E09062.hea (744 bytes) 
E09062 12 500 5000
E09062.mat 16x1+24 1000.0(0)/mV 16 0 -87 9092 0 I
E09062.mat 16x1+24 1000.0(0)/mV 16 0 63 21366 0 II
E09062.mat 16x1+24 1000.0(0)/mV 16 0 151 12962 0 III
E09062.mat 16x1+24 1000.0(0)/mV 16 0 12 -15739 0 aVR
E09062.mat 16x1+24 1000.0(0)/mV 16 0 -119 -1778 0 aVL
E09062.mat 16x1+24 1000.0(0)/mV 16 0 107 16959 0 aVF
E09062.mat 16x1+24 1000.0(0)/mV 16 0 -34 -7616 0 V1
E09062.mat 16x1+24 1000.0(0)/mV 16 0 -97 -5261 0 V2
E09062.mat 16x1+24 1000.0(0)/mV 16 0 -29 3427 0 V3
E09062.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22657 0 V4
E09062.mat 16x1+24 1000.0(0)/mV 16 0 -24 -24358 0 V5
E09062.mat 16x1+24 1000.0(0)/mV 16 0 -9 21240 0 V6
# Age: 52
# Sex: Male
# Dx: 428750005,67741000119109,164934002,59931005
# Rx: Unknown
# Hx: Unknown