Evidence map›Paper›PMID 34938329›Full record

ArticleComputational intelligence and neuroscience2021

Secure Health Monitoring Communication Systems Based on IoT and Cloud Computing for Medical Emergency Applications.

Ali I Siam, Mohammed Amin Almaiah, Ali Al-Zahrani, Atef Abou Elazm, Ghada M El Banby, Walid El-Shafai, Fathi E Abd El-Samie, Nirmeen A El-Bahnasawy

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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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

8 authors.

Ali I SiamDepartment of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt.ORCID https://orcid.org/0000-0002-7242-5281
Mohammed Amin AlmaiahCollege of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa, Saudi Arabia.ORCID https://orcid.org/0000-0003-0773-1597
Ali Al-ZahraniCollege of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa, Saudi Arabia.
Atef Abou ElazmDepartment of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
Ghada M El BanbyDepartment of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
Walid El-ShafaiDepartment of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
Fathi E Abd El-SamieDepartment of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.
Nirmeen A El-BahnasawyDepartment of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart health surveillance technology has attracted wide attention between patients and professionals or specialists to provide early detection of critical abnormal situations without the need to be in direct contact with the patient. This paper presents a secure smart monitoring portable multivital signal system based on Internet-of-Things (IoT) technology. The implemented system is designed to measure the key health parameters: heart rate (HR), blood oxygen saturation (SpO

Indexed as

Cloud ComputingInternet of ThingsCommunicationHumansOxygen SaturationReproducibility of Results

Identifiers

PMID34938329
PMCPMC8687823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.