Evidence map›Paper›PMID 37347401›Full record

ReviewMedical & biological engineering & computing2023

Posture monitoring in healthcare: a systematic mapping study and taxonomy.

Bruno Dahmer Camboim, João Elison da Rosa Tavares, Mauricio Campelo Tavares, Jorge Luis Victória Barbosa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical & biological engineering & computing, 2023. 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
3.0field-weighted citation impact, top 9% 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, 9 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 1 institution in 1 country.

Bruno Dahmer CamboimUniversity of Vale Do Rio Dos Sinos (Unisinos), Av. Unisinos, 950, São Leopoldo, RS, Brazil. bcamboim@edu.unisinos.br.ORCID http://orcid.org/0000-0002-2654-9670
João Elison da Rosa TavaresUniversity of Vale Do Rio Dos Sinos (Unisinos), Av. Unisinos, 950, São Leopoldo, RS, Brazil.ORCID http://orcid.org/0000-0002-1288-0506
Mauricio Campelo TavaresContronic Sistemas Automáticos, S. Rudi Bonow, 275, Pelotas, RS, Brazil.ORCID http://orcid.org/0000-0001-6618-1949
Jorge Luis Victória BarbosaUniversity of Vale Do Rio Dos Sinos (Unisinos), Av. Unisinos, 950, São Leopoldo, RS, Brazil.ORCID http://orcid.org/0000-0002-0358-2056
Universidade do Vale do Rio dos Sinos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Palliative treatments for back pain usually include exercise, analgesics, physiotherapy, prostheses, and surgery in severe cases. Technologies for postural monitoring are growing, and they are important in preventing back pain and mitigating permanent damage. Remote work, especially after the COVID-19 pandemic, made people spend more time than usual in chairs and environments not certified by the health aspects of work. This research investigated through a Systematic Mapping Study (SMS) contributions in posture monitoring for healthcare in smart environments, including the different methods to obtain the posture, the limitations, and the target audience of the proposed models. The SMS was conducted in eight databases, including articles from January 2012 to March 2022. The initial search yielded 3161 articles, of which 34 were selected after applying the filtering criteria. Moreover, this study presents the challenges related to posture behavior monitoring, identifying studies and implementations that apply assistive technology for postural monitoring and improving the health and life of remote workers. In addition, three commercial postural devices are presented, and what challenges they currently face. Regarding healthcare, results showed a prevalence of using the Internet of Things (IoT) devices such as wireless sensor networks and inertial measurement unit (IMU) sensors. This article also proposes a taxonomy, showing the most used technologies and algorithms for improving posture, besides the posture-monitoring hierarchy classifying into three important branches: (a) Data Collect; (b) Data Transmission; and (c) Data Analysis.

Indexed as

COVID-19PandemicsDelivery of Health CareHumansMonitoring, PhysiologicPostureHealthcareInternet of thingsMachine learningPostureSmart environments

Identifiers

PMID37347401
OpenAlexW4381597650

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.