首页|University of Ghent Reports Findings in Machine Learning (Machine learning based analysis and detection of trend outliers for electromyographic neuromuscular mo nitoring)

University of Ghent Reports Findings in Machine Learning (Machine learning based analysis and detection of trend outliers for electromyographic neuromuscular mo nitoring)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Ghent, Belgium, by New sRx editors, research stated, “Neuromuscular monitoring isfrequently plagued by artefacts, which along with the frequent unawareness of the principles of this subtypeof monitoring by many clinicians, tends to lead to a cynical attitute by clinicians towards these monitors.As such, the present study aims to derive a feature set and evaluate its discriminative performance for the purpose of Train -of-Four Ratio (TOF-R) outlier analysis during continuous intraoperative EMG-bas edneuromuscular monitoring.”

GhentBelgiumEuropeCyborgsEmergin g TechnologiesEngineeringMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.16)