Biomedical Engineering Solutions to Assess & Treat Depression

From Wearables to Wellness

Our biomedical engineering research develops cutting-edge technological solutions for both measuring and treating depression. This includes creating wearable sensors and smartphone-based tools that continuously monitor mood, activity patterns, sleep, and physiological markers in real-world settings, providing objective data beyond traditional self-reports. We also explore innovative treatment modalities such as advanced brain stimulation techniques (transcranial magnetic stimulation, transcranial direct current stimulation, focused ultrasound), closed-loop neurofeedback systems, virtual reality interventions, and digital therapeutics. Additionally, this area encompasses the development of implantable devices, neuroimaging technologies, and artificial intelligence-powered assessment tools. By combining engineering principles with clinical insights, we aim to create more precise, accessible, and effective methods for detecting, monitoring, and treating depression.

Institute Members Working in this Area

Rahim Esfandyar-Pour

Rahim Esfandyar-Pour

Assistant Professor, Electrical Engineering & Computer Science,
Materials & Manufacturing Technology and Mechanical & Aerospace Engineering
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Jennifer Gelinas

Jennifer Gelinas

Associate Professor, Pediatrics and Anatomy & Neurobiology
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Zoran Nenadic

Zoran Nenadic

Professor, Biomedical Engineering, Electrical Engineering & Computer Science
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Uma Rao

Uma Rao

Professor, Psychiatry & Human Behavior, Pediatrics, and Psychology
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Julian F. Thayer

Julian F. Thayer

Distinguished Professor, Psychology
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