ArticleSensors (Basel, Switzerland)2018
Wearable Sensors Integrated with Internet of Things for Advancing eHealth Care.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Health-Related Indicators Measured Using Earable Devices: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- From Sensor-Empowered Ubiquitous Computing to Embodied Intelligence: Architectures, Paradigm Evolution, and Emerging Challenges.Sensors (Basel, Switzerland) · 2026Review
- Recent Advances in Wearable Biosensors for Human Health Monitoring.Biosensors · 2026Article
- A Systematic Review on the Advanced Techniques of Wearable Point-of-Care Devices and Their Futuristic Applications.Diagnostics (Basel, Switzerland) · 2023Review
- A Survey of Authentication in Internet of Things-Enabled Healthcare Systems.Sensors (Basel, Switzerland) · 2022Review
- IoT-Based Humanoid Software for Identification and Diagnosis of Covid-19 Suspects.IEEE sensors journal · 2022Article
- A Proof-of-Concept IoT System for Remote Healthcare Based on Interoperability Standards.Sensors (Basel, Switzerland) · 2022Article
- A Technology-Based Pregnancy Health and Wellness Intervention (Two Happy Hearts): Case Study.JMIR formative research · 2021Article
- LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices.Sensors (Basel, Switzerland) · 2021Review
- Clinical evaluation of stretchable and wearable inkjet-printed strain gauge sensor for respiratory rate monitoring at different measurements locations.Journal of clinical monitoring and computing · 2021Article
- Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation.Sensors (Basel, Switzerland) · 2021Article
- A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems.Sensors (Basel, Switzerland) · 2021Article
- Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements.Sensors (Basel, Switzerland) · 2020Article
- "Nomen Omen": Exploring Connected Healthcare through the Perspective of Name Omen.Healthcare (Basel, Switzerland) · 2020Review
- Data Analytics and Applications of the Wearable Sensors in Healthcare: An Overview.Sensors (Basel, Switzerland) · 2020Article
- Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020Review
- Low Detection Limit and High Sensitivity Wind Speed Sensor Based on Triboelectrification-Induced Electroluminescence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- Article
- Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks.Sensors (Basel, Switzerland) · 2019Article
- The Potential of Self-Management mHealth for Pediatric Cystic Fibrosis: Mixed-Methods Study for Health Care and App Assessment.JMIR mHealth and uHealth · 2019Review
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
Health and sociological indicators alert that life expectancy is increasing, hence so are the years that patients have to live with chronic diseases and co-morbidities. With the advancement in ICT, new tools and paradigms are been explored to provide effective and efficient health care. Telemedicine and health sensors stand as indispensable tools for promoting patient engagement, self-management of diseases and assist doctors to remotely follow up patients. In this paper, we evaluate a rapid prototyping solution for information merging based on five health sensors and two low-cost ubiquitous computing components: Arduino and Raspberry Pi. Our study, which is entirely described with the purpose of reproducibility, aimed to evaluate the extent to which portable technologies are capable of integrating wearable sensors by comparing two deployment scenarios: Raspberry Pi 3 and Personal Computer. The integration is implemented using a choreography engine to transmit data from sensors to a display unit using web services and a simple communication protocol with two modes of data retrieval. Performance of the two set-ups is compared by means of the latency in the wearable data transmission and data loss. PC has a delay of 0.051 ± 0.0035 s (max = 0.2504 s), whereas the Raspberry Pi yields a delay of 0.0175 ± 0.149 s (max = 0.294 s) for N = 300. Our analysis confirms that portable devices ( p < < 0 . 01 ) are suitable to support the transmission and analysis of biometric signals into scalable telemedicine systems.
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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.