Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response

Author:

Liu Yingcheng1ORCID,Zhang Guo1ORCID,Tarolli Christopher G.23,Hristov Rumen4,Jensen-Roberts Stella23ORCID,Waddell Emma M.23ORCID,Myers Taylor L.23,Pawlik Meghan E.23ORCID,Soto Julia M.23ORCID,Wilson Renee M.23ORCID,Yang Yuzhe1ORCID,Nordahl Timothy5ORCID,Lizarraga Karlo J.23ORCID,Adams Jamie L.23ORCID,Schneider Ruth B.23ORCID,Kieburtz Karl23,Ellis Terry5ORCID,Dorsey E. Ray23ORCID,Katabi Dina14

Affiliation:

1. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

2. Department of Neurology, University of Rochester Medical Center, Rochester, NY 14642, USA.

3. Center for Health + Technology, University of Rochester Medical Center, Rochester, NY 14642, USA.

4. Emerald Innovations Inc., Cambridge, MA 02142, USA.

5. Department of Physical Therapy & Athletic Training, Center for Neurorehabilitation, Boston University College of Health and Rehabilitation: Sargent College, Boston, MA 02215, USA.

Abstract

Parkinson’s disease (PD) is the fastest-growing neurological disease in the world. A key challenge in PD is tracking disease severity, progression, and medication response. Existing methods are semisubjective and require visiting the clinic. In this work, we demonstrate an effective approach for assessing PD severity, progression, and medication response at home, in an objective manner. We used a radio device located in the background of the home. The device detected and analyzed the radio waves that bounce off people’s bodies and inferred their movements and gait speed. We continuously monitored 50 participants, with and without PD, in their homes for up to 1 year. We collected over 200,000 gait speed measurements. Cross-sectional analysis of the data shows that at-home gait speed strongly correlates with gold-standard PD assessments, as evaluated by the Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) part III subscore and total score. At-home gait speed also provides a more sensitive marker for tracking disease progression over time than the widely used MDS-UPDRS. Further, the monitored gait speed was able to capture symptom fluctuations in response to medications and their impact on patients’ daily functioning. Our study shows the feasibility of continuous, objective, sensitive, and passive assessment of PD at home and hence has the potential of improving clinical care and drug clinical trials.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

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