Evidence map›Paper›PMID 40822247›Full record

ArticleHealthcare technology letters

IoT-MT: Connected Care System For Elderly Anxiety Management Via Music Therapy.

Shama Siddiqui, Anwar Ahmed Khan, Muhammad Shoaib Siddiqui, Indrakshi Dey

Abstract read
In one paragraph

Article in Healthcare technology letters. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Shama SiddiquiDepartment of Computer Science DHA Suffa University Karachi Pakistan.
Anwar Ahmed KhanDepartment of Computer Science Millennium Institute of Technology and Entrepreneurship Karachi Pakistan.ORCID https://orcid.org/0000-0002-2237-5124
Muhammad Shoaib SiddiquiFaculty of Computer and Information Systems Islamic University of Madinah Madinah Kingdom of Saudi Arabia.ORCID https://orcid.org/0000-0002-5656-0416
Indrakshi DeyWalton Institute for Information and Communication Systems Science Waterford Ireland.ORCID https://orcid.org/0000-0001-9669-6417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elderly are at a higher risk of developing depression, anxiety, and other mental illnesses due to their age, chronic diseases, financial dependencies and other factors. Access to mental health services is often limited due to high cost, a low number of psychologists/therapists, and social taboos. In this paper, we propose automating the emerging technique of 'music therapy' (MT) using the internet of things (IoT) to develop a novel solution 'IoT-MT'. IoT-MT has the potential to deal with psychological disorders in a convenient, quick, and cost-effective manner. The system is based on collecting body parameters (pulse rate, SPO

Indexed as

anxietyelderlyMTpulse oximeter

Identifiers

PMID40822247
PMCPMC12357266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.