The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The untapped potential of smartphone sensors for stroke rehabilitation and after-care
Abstract
With the increasing incidences of cerebrovascular disease, as well as the morbidity and mortality associated with it, it is of no surprise that there have been much global governmental interest in the primary prevention of this disorder; or at least in the secondary and tertiary prevention and rehabilitation of individuals who have suffered disabilities arising from a recent cerebrovascular attack. Developers and clinicians have not considered one of the key areas in Stroke prevention and management, which is that of secondary prevention, and in particular that of tapping onto smartphone technologies for stroke rehabilitation. There has been much interest in the development of devices for rehabilitation of stroke patients instead. One of the concerns with regards to conventional bio and mechanical sensors are the costs involved in development, as well as the costs involved when stroke survivors and their caregivers are required to purchase the devices for monitoring and rehabilitation. In view of the current limitations, the S3 Rehab application, which makes use of the smartphone build in sensors, has been conceptualized and has been developed for the two major platforms (Apple and Android platforms). The authors believe that by tapping onto these sensors and by programming a smartphone application that is specifically catered for rehabilitation, it would keep costs minimal for researchers, patients and caregivers. Whilst there is a growing interest in wearable devices and sensors, it is important for developers and researchers to be cognizant that certain interventions, such as rehabilitation could still be done through a smartphone device, instead of investing in new research and development. There are various untapped potential in the smartphone that researchers and developers need to be cognizant of.
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A deeper understanding of factors influencing physical activity sensor use is essential for effective design and implementation of physical activity sensor-based interventions for stroke prevention and rehabilitation.
“A deeper understanding of these factors is essential for the effective design and implementation of PA sensor-based interventions for stroke prevention and rehabilitation [9].”
Citations
Cites
Wearable shoe-based device for rehabilitation of stroke patients
Edgar, S., Swyka, T., Fulk, G. D., & Sazonov, E. E. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5627577 · Cited by 67
Isho, T., Tashiro, H., & Usuda, S. (2015) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2015.02.004 · Cited by 62
Kamalakannan, S., Murthy, G. V. S., Munuswamy, S., Goenka, S., & Kuper, H. (2015) · BMJ Innovations · doi:10.1136/bmjinnov-2015-000056 · Cited by 55
Smartphone apps in mental healthcare: the state of the art and potential developments
Zhang, M. W., Ho, C. S. H., Cheok, C. C. S., & Ho, R. (2015) · BJPsych Advances · doi:10.1192/apt.bp.114.013789 · Cited by 31
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Harris, P., & Maine, I. (2026) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/86915 · Cited by 1
“A deeper understanding of these factors is essential for the effective design and implementation of PA sensor-based interventions for stroke prevention and rehabilitation [9].”
Metadata
- Authors
- Zhang, M. W., Chew, P. Y., Yeo, L. L., & Ho, R. C.
- Affiliations
- Institute of Mental Health (SG)
- Stroke Support Station (S3), Singapore
- National University Health System (SG)
- National University of Singapore (SG)
- Corresponding author
- Zhang, Melvyn W.
- Venue
- Technology and Health Care
- Publisher
- SAGE Publications
- Published
- 2016-01-27
- Volume
- 24
- Issue
- 1
- Pages
- 139-143
- ISSN
- 0928-7329 (ISSN-L)
- 1878-7401
- OpenAlex
- W1879232169
- Cited by
- 24
- References
- 4
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 7 · 2016: 2
- FWCI
- 4.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Technology and Health Care (publishedVersion)
- PubMed (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- smartphone sensors, stroke rehabilitation, secondary stroke prevention, low-cost rehabilitation device, wearable sensors, mobile health apps, cerebrovascular disease, stroke survivors, caregiver monitoring
- MeSH terms
- Smartphone, Stroke Rehabilitation, Aftercare, Humans, Rehabilitation, Stroke, Mobile Applications
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