Veebar Tech members participated in a research study that involved use of AI and advanced nerve signal recording techniques (called ENG) to analyze and predict how sensory nerves (afferent nerves) respond to stimulation. For the first time, this approach makes it possible to clearly identify nerve signals even in noisy environments and determine if a nerve is sensory (afferent) or motor (efferent). Integrating AI/Machine leaning with biomedical engineering studies such as this one could revolutionize medical research, diagnostics, and therapies related to the nervous system and neural prosthetics.
Decoding afferent nerve signals is highly complex due to noise, overlapping signals, and individual differences in nerve function. Veebar Tech overcame these challenges by combining advanced signal processing, AI-based modeling, and rigorous testing frameworks to create a reliable and interpretable solution.
Want to bring your biomedical or neuroscience project to a next level with AI integration? Contact Veebar Tech today for expert AI development and integration services. Let’s advance your research with innovative solutions!
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