Evidence map›Paper›PMID 34880687›Full record

ArticleMedical devices (Auckland, N.Z.)2021

A New Prototype of Smart Wearable Monitoring System Solution for Alzheimer's Patients.

Bassam Al-Naami, Hamza Abu Owida, Mohammed Abu Mallouh, Feras Al-Naimat, Moh'd Agha, Abdel-Razzak Al-Hinnawi

Open access · goldAbstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2021. 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
1.1field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Bassam Al-NaamiDepartment of Biomedical Engineering, The Hashemite University, Zarqa, Jordan.ORCID 0000-0002-1249-009X
Hamza Abu OwidaDepartment of Medical Engineering, Al-Ahliyya Amman University, Amman, Jordan.
Mohammed Abu MallouhDepartment of Mechatronics Engineering, The Hashemite University, Zarqa, Jordan.
Feras Al-NaimatDepartment of Medical Engineering, Al-Ahliyya Amman University, Amman, Jordan.
Moh'd AghaDepartment of Medical Engineering, Al-Ahliyya Amman University, Amman, Jordan.
Abdel-Razzak Al-HinnawiFaculty of Sciences, Al-Isra University, Amman, Jordan.ORCID 0000-0002-4368-345X
Al-Ahliyya Amman University · JOHashemite University · JOIsra University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe daily life management of patients with Alzheimer's disease (AD) constitutes a significant and rapidly expanding health-care responsibility. In this study, an innovative prototype of a wireless-sensing smart wearable medical device (SWMD) is proposed as a multi-functions solution for Alzheimer patients. The SWMD is aimed to assemble three main biomedical engineering advances: 1) use of a Wi-Fi microcontroller, 2) simultaneous monitoring of a set of vital biomarkers, and 3) cautions of fall down conditions, in addition to GPS location indicator.

methodsThe SWMD employs a Wi-Fi controller that is incorporated with electronic circuits to monitor three vital signals (temperature, heart rate, and oxygen saturation), fall down conditions in three directions (X, Y, and Z axis), and GPS location. The SWMD was connected to the Firebase Service (database hosted on the Internet Cloud). The proposed device was tested on 13 normal volunteers. The left side, right side, forward, and backward fall down conditions were assessed. The prototype's functions during daily activity such as rising hand, sitting down or standing up, and walking conditions were also assessed.

resultsThe three assembled functions were all successfully incorporated to build the SWDM device as a suggested solution offering real-time alerts during daily activity to AD patients. The Bland-Altman statistical test showed no significant difference (p-value >0.05) between the SWMD biomarkers' acquisition and the reference methods. The gyro/accelerator sensor yielded 93% sensitivity in fall down detection and 95% specificity during daily activities. The GPS yielded correct positioning of the SWDM holder, while the internet cloud allowed saving and managing all vital biomarkers daily.

conclusionThe SWMD is a possible solution for daily life support for AD patients. It incorporates three functions in one single device, GPS location indicator, monitoring set of biomarkers, and fall down alert, which are all controlled via a Wi-Fi micro controller on-line connected to Internet Cloud. It successfully would allow the management of the daily records as well as the real-time alerts to remote persons.

Indexed as

Alzheimer’s diseasefall down alerthealth care aidsInternet Cloud accesssmart wearable medical deviceWi-Fi micro controller

Identifiers

PMID34880687
PMCPMC8648277
OpenAlexW3214829640

What OpenQuestion holds

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LicenceCC BY-NC
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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.