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

File: <base>/training/georgia/g10/E09004.hea (722 bytes) 
E09004 12 500 5000
E09004.mat 16x1+24 1000.0(0)/mV 16 0 253 -23765 0 I
E09004.mat 16x1+24 1000.0(0)/mV 16 0 9 30089 0 II
E09004.mat 16x1+24 1000.0(0)/mV 16 0 -244 -11522 0 III
E09004.mat 16x1+24 1000.0(0)/mV 16 0 -131 29273 0 aVR
E09004.mat 16x1+24 1000.0(0)/mV 16 0 248 -6098 0 aVL
E09004.mat 16x1+24 1000.0(0)/mV 16 0 -117 -23432 0 aVF
E09004.mat 16x1+24 1000.0(0)/mV 16 0 -48 -11968 0 V1
E09004.mat 16x1+24 1000.0(0)/mV 16 0 -117 -20980 0 V2
E09004.mat 16x1+24 1000.0(0)/mV 16 0 -136 -6025 0 V3
E09004.mat 16x1+24 1000.0(0)/mV 16 0 -78 -32093 0 V4
E09004.mat 16x1+24 1000.0(0)/mV 16 0 -165 836 0 V5
E09004.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8534 0 V6
# Age: 50
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown