Research focus
About the research
Can wireless signals and AI produce noninvasive biomarkers for health, sleep, and neurological conditions?
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The Katabi Lab develops wireless sensors and machine-learning systems for contactless monitoring of vital signs, activity, sleep, and emotion recognition. Researchers build RF-based systems such as EQ-Radio to infer emotional state and analyze reflections of RF signals to extract physiological signals. The group advances ML for limited supervision and imbalanced biomedical data to enable robust in-home and clinical monitoring. Work emphasizes signal-processing, self-supervision, and clinical-scale validation for digital-health deployment.
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