Digital health technology for Parkinson's disease with comprehensive monitoring and artificial intelligence-enabled haptic biofeedback for bulbar dysfunction.

Shuai Xu^1,2,3, Cagla Kantarcigil⁴, Rabab Rangwala⁵, Abigail Nellis⁵, Keum San Chun¹, Dylan Richards¹, Ignacio Albert-Smet¹, Matthew Keller¹, Hope Chen⁶, Joy Huang⁶, Shiv Patel¹, Albert Yang¹, Aejin Shon¹, Jacqueline Topping¹, Jessica Walter⁷, Sarah Coughlin¹, Hyoyoung Jeong⁸, Jong Yoon Lee¹, Bonnie Martin-Harris^5,9

¹Sibel Health, Chicago, IL, USA.

²Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

³Querrey Simpson Institute for Bioelectronics, McCormick School of Engineering and Applied Sciences, Northwestern University, Evanston, IL, USA.

⁴Department of Speech and Hearing Science, The Ohio State University, Columbus, OH, USA.

⁵Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, School of Communication, Northwestern University, Evanston, IL, USA.

⁶Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

⁷Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

⁸Department of Electrical Engineering, University of California Davis, Sacramento, CA, USA.

⁹Otolaryngology - Head & Neck Surgery, Radiation Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

PubMed PMC DOI PDF

Abstract

BackgroundParkinson's disease (PD) is the second most prevalent neurodegenerative disorder with broad manifestations of motor and non-motor symptoms. While significant progress has been made in assessing motor dysfunction through wearable sensors, less attention has been directed towards bulbar issues like swallowing difficulties.ObjectiveWe introduce a digital health solution leveraging advanced…

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