Effects of the attachment method of the stimulating electrodes Nihon-Kohden NM-345Y[TM] and changes in forearm position on stimulus current values during calibration in electromyography-based neuromuscular monitoring: a single-center experimental study

Purpose The traditionally recommended method for attaching electromyography (EMG) electrodes (NM-345Y[TM]) during EMG-based neuromuscular monitoring developed by Nihon-Kohden may decrease the monitoring accuracy when forearm limb position changes. This study investigated methods for attaching stimulating electrodes that maintained stable EMG-based neuromuscular monitoring accuracy, regardless of forearm limb position changes. Methods This single-center experimental study recruited 28 healthy adults from October 2022 to December 2022. The NM-345Y[TM] was attached to the forearm using three patterns: Pattern N, electrodes attached according to the attachment pattern recommended by Nihon-Kohden; Pattern U, electrodes attached along the ulnar nerve identified using an ultrasound device; Pattern C, electrodes attached where the ulnar nerve crosses the line connecting the centers of the anode and cathode of the stimulating electrodes. The stimulus current values during calibration were measured at three forearm positions for each attachment pattern: supination 90 degrees; pronation 0 degrees; pronation 90 degrees. The differences in stimulus current values caused by forearm position changes were calculated as the difference between values at supination 90 degrees and pronation 0 degrees and between values at supination 90 degrees and pronation 90 degrees. Results Pattern C showed significantly smaller differences than Pattern N between the stimulus current values at supination 90 degrees and pronation 0 degrees (p = 0.018) and between the stimulus current values at supination 90 degrees and pronation 90 degrees (p = 0.008). Conclusion Crossing the ulnar nerve with the line connecting the anode and cathode of the stimulating electrodes may stabilize EMG-based neuromuscular monitoring accuracy.
Author(s): Madoka Makino [sup.1], Shohei Kaneko [sup.1], Shuntaro Sato [sup.2], Yurika Kawazoe [sup.2], Taiga Ichinomiya [sup.1], Hiroaki Murata [sup.1], Osamu Yoshitomi [sup.1], Tetsuya Hara [sup.1] Author Affiliations: (1) grid.174567.6, 0000 [...]