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

File: <base>/training/georgia/g9/E08922.hea (725 bytes) 
E08922 12 500 5000
E08922.mat 16x1+24 1000.0(0)/mV 16 0 -58 30749 0 I
E08922.mat 16x1+24 1000.0(0)/mV 16 0 48 -13163 0 II
E08922.mat 16x1+24 1000.0(0)/mV 16 0 107 22223 0 III
E08922.mat 16x1+24 1000.0(0)/mV 16 0 4 23976 0 aVR
E08922.mat 16x1+24 1000.0(0)/mV 16 0 -82 -29023 0 aVL
E08922.mat 16x1+24 1000.0(0)/mV 16 0 78 4541 0 aVF
E08922.mat 16x1+24 1000.0(0)/mV 16 0 -48 14930 0 V1
E08922.mat 16x1+24 1000.0(0)/mV 16 0 -136 12729 0 V2
E08922.mat 16x1+24 1000.0(0)/mV 16 0 -224 11486 0 V3
E08922.mat 16x1+24 1000.0(0)/mV 16 0 -224 12844 0 V4
E08922.mat 16x1+24 1000.0(0)/mV 16 0 -185 17032 0 V5
E08922.mat 16x1+24 1000.0(0)/mV 16 0 -136 -20927 0 V6
# Age: 54
# Sex: Male
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown