Body Area Networks for Ubiquitous Healthcare Applications: Opportunities and Challenges
Abstract
Body Area Networks integrated into mHealth systems are becoming a mature technology with unprecedented opportunities for personalized health monitoring and management. Potential applications include early detection of abnormal conditions, supervised rehabilitation, and wellness management. Such integrated mHealth systems can provide patients with increased confidence and a better quality of life, and promote healthy behavior and health awareness. Automatic integration of collected information and user's inputs into research databases can provide medical community with opportunity to search for personalized trends and group patterns, allowing insights into disease evolution, the rehabilitation process, and the effects of drug therapy. A new generation of personalized monitoring systems will allow users to customize their systems and user interfaces and to interact with their social networks. With emergence of first commercial body area network systems, a number of system design issues are still to be resolved, such as seamless integration of information and ad-hoc interaction with ambient sensors and other networks, to enable their wider acceptance. In this paper we present state of technology, discuss promising new trends, opportunities and challenges of body area networks for ubiquitous health monitoring applications.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Innovative solutions for recognizing emergencies in the home can be achieved through a combination of monitoring vital parameters of the person living at home as well as supervising the conditions of domestic appliances.
“Innovative solutions for recognizing emergencies in the home can be achieved through a combination of monitoring vital parameters of the person living at home as well as supervising the conditions of domestic appliances [40].”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [40]
The citation lists haven’t been fetched yet
References 45 · Cited by 183
- Authors
- Jovanov, E., & Milenkovic, A.
- Affiliations
- University of Alabama (US)
- Corresponding author
- Jovanov, Emil
- ORCID
- Jovanov, Emil
- Venue
- Journal of Medical Systems
- Published
- 2011-02-17
- Volume
- 35
- Issue
- 5
- Pages
- 1245-1254
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2158002774
- Cited by
- 183
- References
- 45
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 5 · 2023: 14 · 2022: 4 · 2021: 7 · 2020: 21 · 2019: 9 · 2018: 17 · 2017: 14 · 2016: 14 · 2015: 16 · 2014: 25 · 2013: 19 · 2012: 8
- FWCI
- 10.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Molecular Communication and Nanonetworks
- Keywords
- body area networks, ubiquitous healthcare, mobile health, personalized health monitoring, supervised rehabilitation, wellness management, health data integration, social networks, ambient sensors, system design challenges
- MeSH terms
- Delivery of Health Care, Humans, Telemetry, Telemedicine, Monitoring, Ambulatory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review