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

File: <base>/training/georgia/g6/E05931.hea (747 bytes) 
E05931 12 500 5000
E05931.mat 16x1+24 1000.0(0)/mV 16 0 185 428 0 I
E05931.mat 16x1+24 1000.0(0)/mV 16 0 -48 126 0 II
E05931.mat 16x1+24 1000.0(0)/mV 16 0 -234 -309 0 III
E05931.mat 16x1+24 1000.0(0)/mV 16 0 -68 31994 0 aVR
E05931.mat 16x1+24 1000.0(0)/mV 16 0 209 395 0 aVL
E05931.mat 16x1+24 1000.0(0)/mV 16 0 -141 32729 0 aVF
E05931.mat 16x1+24 1000.0(0)/mV 16 0 -19 9527 0 V1
E05931.mat 16x1+24 1000.0(0)/mV 16 0 -43 -5310 0 V2
E05931.mat 16x1+24 1000.0(0)/mV 16 0 -24 8181 0 V3
E05931.mat 16x1+24 1000.0(0)/mV 16 0 43 26938 0 V4
E05931.mat 16x1+24 1000.0(0)/mV 16 0 68 -19047 0 V5
E05931.mat 16x1+24 1000.0(0)/mV 16 0 -122 29024 0 V6
# Age: 79
# Sex: Female
# Dx: 164909002,270492004,425623009,427084000,251139008
# Rx: Unknown
# Hx: Unknown