Evidence map›Paper›PMID 37299881›Full record

ArticleSensors (Basel, Switzerland)2023

Challenges and Limitation Analysis of an IoT-Dependent System for Deployment in Smart Healthcare Using Communication Standards Features.

Shrikant Upadhyay, Mohit Kumar, Aditi Upadhyay, Sahil Verma, Kavita, Maninder Kaur, Ruba Abu Khurma, Pedro A Castillo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Review
  3. Article
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.

Shrikant UpadhyayDepartment of Electronics & Communication Engineering, Cambridge Institute of Technology (CIT), Tatisilwai 835103, India.ORCID 0000-0002-2991-1866
Mohit KumarDepartment of IT, MIT Art, Design and Technology University, Pune 412201, India.
Aditi UpadhyayDepartment of Electronics and Communication Engineering, School of Engineering, Jaipur National University, Jaipur 302017, India.
Sahil VermaDepartment of Computer Science & Engineering, Uttranchal University, Dehradun 248007, India.ORCID 0000-0003-3136-4029
KavitaDepartment of Computer Science & Engineering, Uttranchal University, Dehradun 248007, India.ORCID 0000-0001-5422-1659
Maninder KaurDepartment of Computer Science and Applications, Guru Gobind Singh College for Women, Chandigarh 160019, India.
Ruba Abu KhurmaComputer Science Department, Faculty of Information Technology, Al-Ahliyya Amman University, Amman 19328, Jordan.
Pedro A CastilloDepartment of Computer Engineering, Automation and Robotics, ETSIIT, University of Granada, 18012 Granada, Spain.ORCID 0000-0002-5258-0620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of IoT technology is rapidly increasing in healthcare development and smart healthcare system for fitness programs, monitoring, data analysis, etc. To improve the efficiency of monitoring, various studies have been conducted in this field to achieve improved precision. The architecture proposed herein is based on IoT integrated with a cloud system in which power absorption and accuracy are major concerns. We discuss and analyze development in this domain to improve the performance of IoT systems related to health care. Standards of communication for IoT data transmission and reception can help to understand the exact power absorption in different devices to achieve improved performance for healthcare development. We also systematically analyze the use of IoT in healthcare systems using cloud features, as well as the performance and limitations of IoT in this field. Furthermore, we discuss the design of an IoT system for efficient monitoring of various healthcare issues in elderly people and limitations of an existing system in terms of resources, power absorption and security when implemented in different devices as per requirements. Blood pressure and heartbeat monitoring in pregnant women are examples of high-intensity applications of NB-IoT (narrowband IoT), technology that supports widespread communication with a very low data cost and minimum processing complexity and battery lifespan. This article also focuses on analysis of the performance of narrowband IoT in terms of delay and throughput using single- and multinode approaches. We performed analysis using the message queuing telemetry transport protocol (MQTTP), which was found to be efficient compared to the limited application protocol (LAP) in sending information from sensors.

Indexed as

CommunicationData AnalysisAgedBlood PressureCloud ComputingElectric Power SuppliesExerciseFemaleHumansInternet of ThingsPregnancycloudcommunication standardhealthcareIoTsecuritywearable sensors

Identifiers

PMID37299881
PMCPMC10255234

What OpenQuestion holds

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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.