Evidence map›Paper›PMID 38439888›Full record

ArticleHeliyon2024

A wearable telehealth system for the monitoring of parameters related to heart failure.

Sheikh Ma Iqbal, Mary Ann Leavitt, Guerline Pedilus, Imadeldin Mahgoub, Waseem Asghar

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

5 authors at 1 institution in 1 country.

Sheikh Ma IqbalDepartment of Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Mary Ann LeavittChristine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Guerline PedilusDepartment of Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Imadeldin MahgoubDepartment of Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Waseem AsgharDepartment of Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Florida Atlantic University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure is a cardiovascular disease in which heart fails to pump sufficient blood required by the body. Significant signs of worsening heart failure include decreased thoracic impedance, increased heart rate, irregular electrocardiogram (ECG), and lack of motion activity of the patient. Heart failure can be better managed if monitored continuously and in real-time. The existing solutions for continuous monitoring of these parameters are invasive and hence are not only expensive but can also cause serious health risks. This paper discusses the development of a telehealth system that consists of an Internet of Things including a wearable device connected to a cloud-based database and a mobile application using Wi-Fi. The wearable device is a noninvasive monitor that consists of different sensors embedded with a microcontroller and can be a potential solution for better management of heart failure. It continuously monitors the above-mentioned parameters and sends data to the mobile application using a cloud-based system. The mobile application has separate portals for patients and doctors where doctor can monitor a specific patient enrolled under his profile. The performance of the developed device is validated in 10 healthy individuals.

Identifiers

PMID38439888
PMCPMC10909713
OpenAlexW4392084476

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.