Sofi Hearing Diagnostics
Project Overview
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About
Sofi revolutionises hearing diagnostics by using advanced Brain-Computer Interface (BCI) and AI technology to deliver fast, accurate, and patient-friendly assessments. Unlike traditional methods that rely on patient responses, this system monitors brain activity with an EEG headband while the patient listens to sounds. This approach provides objective results, making it especially useful for young children, the elderly, and individuals with disabilities, and is 20 times faster and more accurate than conventional tests, simplifying early diagnosis and treatment for the 1.6 billion people worldwide affected by hearing loss
Team
Stergiani Lentzou
Radboud University
Stella Lentzou is a Research and Development Engineer at mindaffect, a startup company based in the Netherlands spun out of Radboud University. She holds a Research MSc. degree in Cognitive Neuroscience from the Donders Institute and Radboud University, the Netherlands, a BA in Neuroscience from Middlebury College, USA, and she has previously worked as a researcher at NYU Abu Dhabi, UAE. Utilizing her expertise in electrophysiology, neuroscience and machine learning, at mindaffect she helps develop Sofi, an objective hearing diagnostics system that reliably detects hearing thresholds based on brain activity, without the need for feedback from the patient.
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