Kapil Gangwar is a Ph.D. student working under Professor Edwin C. Kan, whose current research interests include biomedical sensors and instrumentation, microwave antennas, biomedical imaging and related techniques.
The 2024 IEEE Instrumentation and Measurement Graduate Fellowship Award will support Gangwar’s work on “Continuous Dyspnea and Sleep Apnea Monitoring in Alzheimer’s Patients Using Near-Field RF Sensors Enhanced by Machine Learning.” This research involves the non-invasive detection of physiological signals enhanced by machine learning.
“We assess the severity of symptoms in Alzheimer’s patients using the clinical Respiratory Distress Observation Scale, which includes multiple weighted factors, including heart rate, breathing rate, restlessness, paradoxical breathing, clavicle motion, guttural sounds, and involuntary movement of nares,” said Gangwar.
This study aims to enable patients with Alzheimer’s disease to receive timely and accurate diagnoses of dyspnea and sleep apnea, enhancing the standard of care they receive, whether at home or in a hospital setting. While there is currently no cure for Alzheimer's disease, the implementation of continuous, non-invasive monitoring promises to significantly improve the quality of life for these patients.
“Receiving this prestigious recognition marks a significant milestone in my academic journey and provides substantial encouragement to further my research in biomedical sensors and systems,” Gangwar said. “I am confident that my work will make a meaningful impact on advancing research in the field of non-invasive RF biosensors and instruments used to study living bodies. I am deeply grateful for the continuous support and guidance of my advisor, Professor Edwin C. Kan, and it is an honor to be selected as one of four award recipients worldwide. "
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