The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Wearable Sensors and Systems
Open accessAbstract
It is now more than 50 years since the time when clinical monitoring of individuals in the home and community settings was first envisioned. Until recently, technologies to enable such vision were lacking. However, wearable sensors and systems developed over the past decade have provided the tools to finally implement and deploy technology with the capabilities required by researchers in the field of patients' home monitoring. As discussed, potential applications of these technologies include the early diagnosis of diseases such as congestive heart failure, the prevention of chronic conditions such as diabetes, improved clinical management of neurodegenerative conditions such as Parkinson's disease, and the ability to promptly respond to emergency situations such as seizures in patients with epilepsy and cardiac arrest in subjects undergoing cardiovascular monitoring. Current research efforts are now focused on the development of more complex systems for home monitoring of individuals with a variety of preclinical and clinical conditions. Recent research on the clinical assessment of wearable technology promises to deliver methodologies that are expected to lead to clinical adoption within the next five to ten years. In particular, combining home robots and wearable technology is likely to be a key step toward achieving the goal of effectively monitoring patients in the home. These efforts to merge home robots and wearable technology are expected to enable a new generation of complex systems with the ability to monitor subjects' status, facilitate the administration of interventions, and provide an invaluable tool to respond to emergency situations.
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“Their current capabilities include physiological and biochemical sensing, as well as motion sensing [6,7].”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [7]
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Cites
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- baechlin, 0, Assistive cueing, context awareness, freezing of gait, Parkinson's disease, personal health assistant, IEEE Trans Inf Technol Biomed
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A review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-21 · Cited by 2,396
Self-citationWearable Sensors for Human Activity Monitoring: A Review
Mukhopadhyay, S. C. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2370945 · Cited by 1,401
Piezotronics and piezo-phototronics for adaptive electronics and optoelectronics
Wu, W., & Wang, Z. L. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.31 · Cited by 658
Technology in Parkinson’s disease: challenges and opportunities
Espay, A. J., Bonato, P., Nahab, F. B., Maetzler, W., Dean, J. M., Klucken, J., Eskofier, B. M., Merola, A., Horak, F., Lang, A. E., et al. (2016) · Movement Disorders · doi:10.1002/mds.26642 · Cited by 654
Self-citationA Survey on Ambient Intelligence in Healthcare
Acampora, G., Cook, D. J., Rashidi, P., & Vasilakos, A. V. (2013) · Proceedings of the IEEE · doi:10.1109/jproc.2013.2262913 · Cited by 682
Metadata
- Authors
- Bonato, P.
- Affiliations
- Harvard University (US)
- Corresponding author
- Bonato, Paolo
- ORCID
- Bonato, Paolo
- Venue
- IEEE Engineering in Medicine and Biology Magazine
- Published
- 2010-05
- Volume
- 29
- Issue
- 3
- Pages
- 25-36
- ISSN
- 0739-5175 (ISSN-L)
- OpenAlex
- W2032802664
- Cited by
- 423
- References
- 66
- Citations by year
- 2026: 22 · 2025: 30 · 2024: 26 · 2023: 15 · 2022: 29 · 2021: 25 · 2020: 29 · 2019: 13 · 2018: 31 · 2017: 29 · 2016: 40 · 2015: 36 · 2014: 38 · 2013: 22 · 2012: 23
- FWCI
- 11.35
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- IEEE Engineering in Medicine and Biology Magazine (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- wearable sensors, home monitoring, remote patient monitoring, home robots, congestive heart failure, diabetes prevention, Parkinson's disease, epilepsy, cardiac arrest, cardiovascular monitoring, emergency response
- MeSH terms
- Clothing, Diagnosis, Computer-Assisted, Equipment Design, Signal Processing, Computer-Assisted, Telemedicine, Monitoring, Ambulatory
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