Evidence map›Paper›PMID 35079705›Full record

ArticleSN computer science2022

IoT-Based Smart Health Monitoring System for COVID-19.

Vaneeta Bhardwaj, Rajat Joshi, Anshu Mli Gaur

Open access · bronzeAbstract read
In one paragraph

Article in SN computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
22.6field-weighted citation impact, top 1% of its field
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

16 citing papers in PubMed, 165 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Vaneeta BhardwajDepartment of Electronics and Communication Engineering, ADESH Institute of Technology, Mohali, Punjab India.
Rajat JoshiDepartment of Electronics and Communication Engineering, ADESH Institute of Technology, Mohali, Punjab India.
Anshu Mli GaurElectrical and Instrumentation Engineering Department (EIED), Thapar Institute of Engineering and Technology, Patiala, India.
Indian Institute of Science Education and Research Mohali · INThapar Institute of Engineering & Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the commencement of the COVID-19 pandemic, social distancing and quarantine are becoming essential practices in the world. IoT health monitoring systems prevent frequent visits to doctors and meetings between patients and medical professionals. However, many individuals require regular health monitoring and observation through medical staff. In this proposed work, we have taken advantage of the technology to make patients life easier for earlier diagnosis and treatment. A smart health monitoring system is being developed using Internet of Things (IoT) technology which is capable of monitoring blood pressure, heart rate, oxygen level, and temperature of a person. This system is helpful for rural areas or villages where nearby clinics can be in touch with city hospitals about their patient health conditions. However, if any changes occur in a patient's health based on standard values, then the IoT system will alert the physician or doctor accordingly. The maximum relative error (%

Indexed as

Cloud platformHealth monitoringIoTRaspberry PiSensor interfacing

Identifiers

PMID35079705
PMCPMC8772261
OpenAlexW4205171076

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.