@ARTICLE{1580827,
<br>
author={E. W. Abel and Hongying Meng and A. Forster and D. Holder},
<br>  journal={IEEE Transactions on Biomedical Engineering}, 
<br> title={Singularity characteristics of needle EMG IP signals}, 
<br>  year={2006},
<br>  volume={53},
<br>  number={2},
<br>  pages={219-225},
<br>  keywords={electromyography;interference (signal);medical signal processing;patient diagnosis;wavelet transforms;Lipschitz exponent;clinical electromyography interference pattern signals;interscale wavelet maximum;motor unit action potentials;myopathy;needle EMG IP signals;neuromuscular disorder diagnosis;neuropathy;signal singularity;wavelet transform;Biomedical engineering;Electromyography;Interference;Loudspeakers;Muscles;Needles;Neuromuscular;Neurons;Signal analysis;Wavelet analysis;Clinical EMG;diagnosis;singularity;wavelet analysis;Action Potentials;Diagnosis, Computer-Assisted;Electrodes, Implanted;Electromyography;Humans;Motor Neurons;Muscle, Skeletal;Needles;Neuromuscular Diseases;Neuromuscular Junction;Reproducibility of Results;Sensitivity and Specificity},
<br>  doi={10.1109/TBME.2005.862548},
<br>  ISSN={0018-9294},
<br>  month={Feb},}<br>