ArticleSensors (Basel, Switzerland)2013
Mobile monitoring and reasoning methods to prevent cardiovascular diseases.
Article in Sensors (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Directing and Orienting ICT Healthcare Solutions to Address the Needs of the Aging Population.Healthcare (Basel, Switzerland) · 2021Review
- Article
- Evaluation of mHealth Applications Related to Cardiovascular Diseases: a Systematic Review.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2020Review
- Beacon-Related Parameters of Bluetooth Low Energy: Development of a Semi-Automatic System to Study Their Impact on Indoor Positioning Systems.Sensors (Basel, Switzerland) · 2019Article
- A Component-Based Approach for Securing Indoor Home Care Applications.Sensors (Basel, Switzerland) · 2017Article
- Patients' Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test.JMIR mHealth and uHealth · 2017Article
- Flexibility Support for Homecare Applications Based on Models and Multi-Agent Technology.Sensors (Basel, Switzerland) · 2015Article
- Towards Context-Aware and User-Centered Analysis in Assistive Environments: A Methodology and a Software Tool.Journal of medical systems · 2015Article
- Long term prognosis of acute coronary syndrome with chronic renal dysfunction treated in different therapy units at department of cardiology: a retrospective cohort study.International journal of clinical and experimental medicine · 2015Article
- Prognosis of patients with coronary artery disease treated in different therapy units at department of cardiology: a retrospective cohort study.International journal of clinical and experimental medicine · 2015Article
- Mobile clinical decision support systems and applications: a literature and commercial review.Journal of medical systems · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the recent technological advances, it is possible to monitor vital signs using Bluetooth-enabled biometric mobile devices such as smartphones, tablets or electric wristbands. In this manuscript, we present a system to estimate the risk of cardiovascular diseases in Ambient Assisted Living environments. Cardiovascular disease risk is obtained from the monitoring of the blood pressure by means of mobile devices in combination with other clinical factors, and applying reasoning techniques based on the Systematic Coronary Risk Evaluation Project charts. We have developed an end-to-end software application for patients and physicians and a rule-based reasoning engine. We have also proposed a conceptual module to integrate recommendations to patients in their daily activities based on information proactively inferred through reasoning techniques and context-awareness. To evaluate the platform, we carried out usability experiments and performance benchmarks.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.