A new method for measurement of motor unit action potential duration based on correlation, a pilot study

• Published in: Medical & biological engineering & computing 2020-03, Vol.58 (3), p.589-599
• Main Authors: Rodríguez Carreño, Ignacio, Malanda, Armando, Gila Useros, Luis, Gurtubay, Iñaki G., Navallas, Javier, Rodríguez-Falces, Javier
• Format: Article
• Language: English
• Subjects: Action potential; Action Potentials - physiology; Adult; Algorithms; Bias; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Chi-square test; Computer Applications; Contraction; Correlation analysis; Electromyography; Female; Human Physiology; Humans; Imaging; Male; Markers; Middle Aged; Motor Neurons - physiology; Muscle contraction; Muscles; Original Article; Parameter sensitivity; Pilot Projects; Radiology; Statistical analysis; Statistical tests; Variance analysis; Waveforms; Wavelet transforms
• ISSN: 0140-0118; 1741-0444
• DOI: 10.1007/s11517-019-02115-6

We present a new, automatic, correlation-based method for measuring the duration of motor unit action potentials (MUAPs). The method seeks to replicate the way an expert elctromyographer uses his or her eyes, calculating the start and end of the MUAP waveform on the basis of the degree of similarity of non-excluded discharges. We analysed 68 potentials from normal deltoid muscles during slight contraction. For each MUAP, two experienced electromyographers manually determined start and end marker positions, which were used as gold standard duration positions (GSP) in our subsequent tests. The novel method was compared with Nandedkar’s method and a wavelet transform-based method. To compare the three methods, the differences between the automatic marker positions and GSPs were statistically evaluated using one-factor ANOVA, the estimated mean square error, and a Chi-square test on the numbers of automatic marker placements with gross errors. All these parameters showed smaller values for the novel method and in most of the cases were statistically significant. In addition, the parameters of the new method were subjected to a sensitivity study, showing its good performance within a range of clinically useful parameter values. The new automatic method determined start and end markers in a more accurate and reliable manner than both of the acknowledged state-of-the art methods used in our comparison study. Graphical abstract The description of a new automatic duration measurement algorithm based on the similarity among discharges of the same MUAP. This method gave better results than the Nandedkar method and a highly regarded wavelet-based method. The new correlation-based method also had the lowest rate of gross aberrant errors in automatic placements