91·çÃùÄñ³ª

Engineering faculty developing wearable tech that could treat depression

Electrical & Biomedical Engineering Assistant Professor Jihwan Yoon’s device would deliver radiofrequency pulses to brain regions involved in mood regulation and cognitive function

A man in a blue shirt stands in an anechoic chamber with blue, foam-covered wedge panels designed to absorb sound or electromagnetic waves.

Assistant Professor Jihwan Yoon, seen here in Engineering's acoustics lab, is inspired by his colleageus at the 91·çÃùÄñ³ª School of Medicine.

Engineering faculty developing wearable tech that could treat depression

Electrical & Biomedical Engineering Assistant Professor Jihwan Yoon’s device would deliver radiofrequency pulses to brain regions involved in mood regulation and cognitive function

Assistant Professor Jihwan Yoon, seen here in Engineering's acoustics lab, is inspired by his colleageus at the 91·çÃùÄñ³ª School of Medicine.

A man in a blue shirt stands in an anechoic chamber with blue, foam-covered wedge panels designed to absorb sound or electromagnetic waves.

Assistant Professor Jihwan Yoon, seen here in Engineering's acoustics lab, is inspired by his colleageus at the 91·çÃùÄñ³ª School of Medicine.

Jihwan Yoon is an assistant professor specializing in radiofrequency-based nanosecond electric pulses (RF-NEPs) for noninvasive neuromodulation, influencing brain and nervous system function. His research focuses on developing innovative wearable therapeutic devices that can stimulate neural cells and tissues with high precision. His work has direct applications in stimulating neuronal organs, such as cells, nerves and brain tissues to treat neurological disorders, particularly depression, offering safer and more accessible alternatives to traditional methods.

Q: What are you currently working on?

A: I am currently developing a wearable neurostimulation system that uses radiofrequency-modulated nanosecond electric pulses to target neural tissues noninvasively.

Unlike conventional neuromodulation techniques that require surgical implants or high-powered systems, this technology is designed to be portable, noninvasive and personalized. By combining electrical engineering, neuroscience and deep learning, I am working to create a device that adapts to individual anatomical differences using radar techniques and delivers a personalized radiofrequency (RF) pulse to specific brain regions involved in mood regulation and cognitive function.

Q: What inspired you to pursue this line of research?

A: I am a dedicated RF engineer with a deep fascination for bio-electromagnetics and a commitment to advancing wireless engineering in medicine. My inspiration came from exceptional mentors and collaboration with an interdisciplinary group at UNR Med over the past decade. During this time, I recognized that while electrical signals can modulate the human body, the therapeutic application of RF engineering in medical treatments remains limited. This insight motivated me to refine conventional electrical stimulation techniques.

Leveraging my expertise in digital systems, I set out to integrate cutting-edge device development with RF engineering to translate these laboratory breakthroughs into a clinically viable, wearable neurostimulation system. Others began to recognize the promise of these innovative approaches. I received an National Science Foundation CAREER Award to support my in-depth investigation and the development of this transformative technology — pushing it from the lab into real-world applications for improved public health outcomes.

Q: What potential impact can this work have on society?

A: This research has the potential to advance neurostimulation therapy by providing a noninvasive, personalized treatment option for patients with neurological disorders. If successful, it could help individuals suffering from depression and other conditions manage their symptoms without relying on drugs or invasive surgery. Furthermore, I collaborate with a local neurologist who is exploring innovative approaches to treat tumors and other neurological conditions using a similar technique.

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