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

File: <base>/training/georgia/g6/E05937.hea (741 bytes) 
E05937 12 500 5000
E05937.mat 16x1+24 1000.0(0)/mV 16 0 -185 -27516 0 I
E05937.mat 16x1+24 1000.0(0)/mV 16 0 9 -27212 0 II
E05937.mat 16x1+24 1000.0(0)/mV 16 0 195 634 0 III
E05937.mat 16x1+24 1000.0(0)/mV 16 0 87 27137 0 aVR
E05937.mat 16x1+24 1000.0(0)/mV 16 0 -190 -14019 0 aVL
E05937.mat 16x1+24 1000.0(0)/mV 16 0 102 -13341 0 aVF
E05937.mat 16x1+24 1000.0(0)/mV 16 0 78 -13826 0 V1
E05937.mat 16x1+24 1000.0(0)/mV 16 0 39 -11183 0 V2
E05937.mat 16x1+24 1000.0(0)/mV 16 0 107 3670 0 V3
E05937.mat 16x1+24 1000.0(0)/mV 16 0 126 15258 0 V4
E05937.mat 16x1+24 1000.0(0)/mV 16 0 87 23242 0 V5
E05937.mat 16x1+24 1000.0(0)/mV 16 0 87 -7243 0 V6
# Age: 63
# Sex: Female
# Dx: 39732003,427084000,425623009,164934002
# Rx: Unknown
# Hx: Unknown