Evidence map›Paper›PMID 31695910›Full record

ArticleHealth information science and systems2019

An E-health system for monitoring elderly health based on Internet of Things and Fog computing.

Hafedh Ben Hassen, Wael Dghais, Belgacem Hamdi

Abstract read
In one paragraph

Article in Health information science and systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Using IoT Assistive Technologies for Older People Non-Invasive Monitoring and Living Support in Their Homes.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Novel DLSNNC and SBS based framework for improving QoS in healthcare-IoT applications.International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management · 2022
    Article
  9. Article
  10. SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT.An international journal on information fusion · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hafedh Ben Hassen1Electronic & Microelectronics' LAB, Faculty of Sciences of Monastir, University of Monastir, 5000 Monastir, Tunisia.ORCID 0000-0002-2244-9904
Wael Dghais1Electronic & Microelectronics' LAB, Faculty of Sciences of Monastir, University of Monastir, 5000 Monastir, Tunisia.
Belgacem Hamdi1Electronic & Microelectronics' LAB, Faculty of Sciences of Monastir, University of Monastir, 5000 Monastir, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the significant increase in the number of elderly in the world and the resulting health problems of these increasing, finding technical solutions to address this problem has become a pressing necessity, particularly in the field of health care. This paper proposes an e-health system for monitoring elderly health based on the Internet of Things (IoT) and Fog computing. The system was developed using Mysignals HW V2 platform and an Android app that plays the role of Fog server, which enables the collection of physiological parameters and general health parameters from elderly periodically. This Android app enables also the elderly and their families to follow their health, and they can also communicate with health care providers (administrators and doctors) and receive recommendations, notifications and alerts. By evaluating this system, we find the most users they consider useful, easy to use and learn, suggesting that our proposal can improve the quality of health care for elderly.

Indexed as

Biomedical sensorsE-healthElderly health monitoringFog computingInternet of Things (IoT)

Identifiers

PMID31695910
PMCPMC6811806

What OpenQuestion holds

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Registered trials

None linked

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.