Papers
2
Total Citations
173
H-Index
2
About
Marianne Boyer’s research centers on biomedical signal processing, with a particular focus on electromyography (EMG) and the challenges of extracting clean, reliable data from noisy physiological recordings. Her major contribution is a comprehensive review that systematically catalogs and evaluates methods for reducing noise, artifacts, and interference in single-channel EMG signals—a critical issue for applications ranging from muscle fatigue detection and prosthetic control to the clinical diagnosis of neuromuscular diseases. This work, published in 2023, has already garnered over 170 combined citations, underscoring its immediate impact and utility for both researchers and clinicians. By synthesizing decades of disparate techniques into a single, accessible resource, Boyer has provided a foundational reference that accelerates progress in human-machine interfaces and rehabilitation engineering. Her ability to distill complex technical challenges into practical guidance marks her as a rising authority in the field. For students and researchers entering biomedical signal analysis, Boyer’s review is an indispensable starting point, and her ongoing work promises to further refine the tools that make EMG-based technologies more robust and clinically viable.
Research Focus
Key Achievements
Top Papers
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