Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease

F. Elizabeth Godkin, Erin Turner, Youness Demnati, Adam Vert, Angela Roberts, Richard H. Swartz, Paula M. McLaughlin, Kyle S. Weber, Vanessa Thai, Kit B. Beyer, Benjamin Cornish, Agessandro Abrahao, Sandra E. Black, Mario Masellis, Lorne Zinman, Derek Beaton, Malcolm A. Binns, Vivian Chau, Donna Kwan, Andrew LimDouglas P. Munoz, Stephen C. Strother, Kelly M. Sunderland, Brian Tan, William E. McIlroy, Karen Van Ooteghem*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Background: Remote health monitoring with wearable sensor technology may positively impact patient self-management and clinical care. In individuals with complex health conditions, multi-sensor wear may yield meaningful information about health-related behaviors. Despite available technology, feasibility of device-wearing in daily life has received little attention in persons with physical or cognitive limitations. This mixed methods study assessed the feasibility of continuous, multi-sensor wear in persons with cerebrovascular (CVD) or neurodegenerative disease (NDD). Methods: Thirty-nine participants with CVD, Alzheimer’s disease/amnestic mild cognitive impairment, frontotemporal dementia, Parkinson’s disease, or amyotrophic lateral sclerosis (median age 68 (45–83) years, 36% female) wore five devices (bilateral ankles and wrists, chest) continuously for a 7-day period. Adherence to device wearing was quantified by examining volume and pattern of device removal (non-wear). A thematic analysis of semi-structured de-brief interviews with participants and study partners was used to examine user acceptance. Results: Adherence to multi-sensor wear, defined as a minimum of three devices worn concurrently, was high (median 98.2% of the study period). Non-wear rates were low across all sensor locations (median 17–22 min/day), with significant differences between some locations (p = 0.006). Multi-sensor non-wear was higher for daytime versus nighttime wear (p < 0.001) and there was a small but significant increase in non-wear over the collection period (p = 0.04). Feedback from de-brief interviews suggested that multi-sensor wear was generally well accepted by both participants and study partners. Conclusion: A continuous, multi-sensor remote health monitoring approach is feasible in a cohort of persons with CVD or NDD.

Original languageEnglish (US)
Pages (from-to)2673-2686
Number of pages14
JournalJournal of Neurology
Issue number5
StatePublished - May 2022


  • Adherence
  • Cerebrovascular disease
  • Neurodegenerative disease
  • Remote monitoring
  • User acceptance
  • Wearable sensors

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology


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