Autumn Naber
Papers
2
Total Citations
48
H-Index
2
About
Autumn Naber is a biomedical engineer whose research focuses on advancing human-machine interaction through bioelectric signal processing and low-cost hardware solutions. Her primary contributions lie in myoelectric pattern recognition (MPR) for prosthetic control, where she has developed methods to improve real-time inference of motor volition. Her most-cited work, "Improved Prosthetic Control Based on Myoelectric Pattern Recognition via Wavelet-Based De-Noising" (2017, 44 citations), tackles the critical challenge of noise and motion artifacts that have historically hindered MPR reliability in clinical prosthetics. By applying wavelet-based denoising, Naber enhanced signal clarity, bringing intuitive prosthetic control closer to practical reality. More recently, she has addressed a key barrier in biomedical research with her 2024 paper on a "Low-Cost, Wireless Bioelectric Signal Acquisition and Classification Platform" (4 citations), which democratizes access to real-time bioelectric data by providing an affordable alternative to expensive clinical hardware. This work is particularly significant for expanding research opportunities in resource-limited settings. Naber’s contributions bridge the gap between signal processing theory and accessible, real-world applications, making her a notable figure in the development of next-generation assistive technologies.
Research Focus
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Top Papers
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