Comparison of expert and algorithm agreement in measurement of nerve conduction study parameters

In this study, the nerve conduction study (NCS) waveform assignment performance of algorithms used in a commercial electrodiagnostic instrument was compared against three neurophysiology experts for motor, F-wave, and sensory parameters. Assignments were made on a common set of waveforms, thereby eliminating a source of variability present in earlier studies that relied on re-testing patients. The performance of the algorithms was comparable to the experts as quantified by the inter-class correlation coefficient and Bland–Altman analyses. The observed algorithm-expert agreement was higher than previously reported estimates, suggesting that the approach of scoring a common set of waveforms may provide a more accurate measure of algorithm performance.