ArticleSensors (Basel, Switzerland)2017
An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis.Journal of medical systems · 2019Pooled it
- A Data Taxonomy for Adaptive Multifactor Authentication in the Internet of Health Care Things.Journal of medical Internet research · 2023Review
- Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments.Sensors (Basel, Switzerland) · 2023Article
- Trends in Smart Helmets With Multimodal Sensing for Health and Safety: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions.IEEE access : practical innovations, open solutions · 2022Article
- Mobile 5P-Medicine Approach for Cardiovascular Patients.Sensors (Basel, Switzerland) · 2021Article
- Review
- A scalable, secure, and interoperable platform for deep data-driven health management.Nature communications · 2021Article
- OFDMA Backoff Control Scheme for Improving Channel Efficiency in the Dynamic Network Environment of IEEE 802.11ax WLANs.Sensors (Basel, Switzerland) · 2021Article
- Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases.Biosensors & bioelectronics · 2021Review
- Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications.Journal of healthcare engineering · 2021Article
- IoT-Based Applications in Healthcare Devices.Journal of healthcare engineering · 2021Review
- NextGen Public Health Surveillance and the Internet of Things (IoT).Frontiers in public health · 2021Article
- A Wristwatch-Based Wireless Sensor Platform for IoT Health Monitoring Applications.Sensors (Basel, Switzerland) · 2020Article
- A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System.Sensors (Basel, Switzerland) · 2020Article
- Article
- Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives.Neurospine · 2019Article
- A Simple Secret Key Generation by Using a Combination of Pre-Processing Method with a Multilevel Quantization.Entropy (Basel, Switzerland) · 2019Article
- Secure Smart Cameras by Aggregate-Signcryption with Decryption Fairness for Multi-Receiver IoT Applications.Sensors (Basel, Switzerland) · 2019Article
- Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The new Internet of Things paradigm allows for small devices with sensing, processing and communication capabilities to be designed, which enable the development of sensors, embedded devices and other 'things' ready to understand the environment. In this paper, a distributed framework based on the internet of things paradigm is proposed for monitoring human biomedical signals in activities involving physical exertion. The main advantages and novelties of the proposed system is the flexibility in computing the health application by using resources from available devices inside the body area network of the user. This proposed framework can be applied to other mobile environments, especially those where intensive data acquisition and high processing needs take place. Finally, we present a case study in order to validate our proposal that consists in monitoring footballers' heart rates during a football match. The real-time data acquired by these devices presents a clear social objective of being able to predict not only situations of sudden death but also possible injuries.
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What OpenQuestion holds
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.