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

File: <base>/training/georgia/g9/E08094.hea (743 bytes) 
E08094 12 500 5000
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -48 -8363 0 I
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -117 4686 0 II
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -68 13191 0 III
E08094.mat 16x1+24 1000.0(0)/mV 16 0 82 -31111 0 aVR
E08094.mat 16x1+24 1000.0(0)/mV 16 0 9 21792 0 aVL
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -92 8717 0 aVF
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -87 13569 0 V1
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -9 13119 0 V2
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -156 -24305 0 V3
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -78 -6994 0 V4
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -87 21254 0 V5
E08094.mat 16x1+24 1000.0(0)/mV 16 0 -156 27280 0 V6
# Age: 64
# Sex: Male
# Dx: 59118001,67741000119109,6374002,426177001
# Rx: Unknown
# Hx: Unknown