Evidence map›Paper›PMID 34904073›Full record

ArticleJournal of biomedical physics & engineering2021

Multi-Sensory Balance Board for Children with SPD & ADHD Disorders.

Shila Amouei, Ali Selk Ghafari, Abolghasem Zabihollah, Shima Mohammadi Moghaddam, Zahra Mohammadi Laal Abadi

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical physics & engineering, 2021. 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
0.3field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Shila AmoueiMSc, Department of Mechanics & Mechatronics Engineering, Sharif University of Technology (Kish Campus), Kish, Iran.
Ali Selk GhafariPhD, Department of Mechanics & Mechatronics Engineering, Sharif University of Technology (Kish Campus), Kish, Iran.
Abolghasem ZabihollahPhD, Department of Mechanics & Mechatronics Engineering, Sharif University of Technology (Kish Campus), Kish, Iran.
Shima Mohammadi MoghaddamMSc. Department of Biomedical Engineering, Sharif University of Technology, Tehran, Iran.
Zahra Mohammadi Laal AbadiBSc, Department of Rehabilitation Science, Iran University of Medical Science, Tehran, Iran.
Sharif University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, as technology grows, human life formation changes every second. These changes sometimes create harmful habits and affect our lifestyle, which unfortunately bring various diseases and disorders. ADHD (Attention Deficit Hyperactivity Disorder) & SPD (Sensory Processing Disorder) are common disorders in children. By giving children the right treatment at the younger ages, we can help them overcome their disabilities and not face any symptoms in their adulthood. The multi-sensory balance board is designed and developed to help medics diagnose the disorders in patients at early stages and monitor the treatment progress. The balance board uses multiple sensors to detect common human senses, visual, auditory, balance, and tactile sensing. Due to the safety issues for children during the COVID-19 pandemic, the balance board has been clinically tested for adults with stroke disorder. The research has concluded that it provides a fast low-cost with reliable results to diagnose the disorders in patients.

Indexed as

ADHDBalance boardDisabled ChildrenRehabilitationStroke

Identifiers

PMID34904073
PMCPMC8649158
OpenAlexW3215060230

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.