Lying-people pressure-map datasets : a systematic review

Bibliographic Details
Main Author: Fonseca, Luís Filipe Rodrigues
Publication Date: 2023
Other Authors: Ribeiro, Fernando Reinaldo, Metrôlho, J.C.M.M.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.11/8274
Summary: Bedded or lying-people pressure-map datasets can be used to identify patients’ in-bed postures and can be very useful in numerous healthcare applications. However, the construction of these datasets is not always easy, and many researchers often resort to existing datasets to carry out their experiments and validate their solutions. This systematic review aimed to identify and characterise pressure-map datasets on lying-people- or bedded-people positions. We used a systematic approach to select nine studies that were thoroughly reviewed and summarised them considering methods of data collection, fields considered in the datasets, and results or their uses after collection. As a result of the review, six research questions were answered that allowed a characterisation of existing datasets regarding of the types of data included, number and types of poses considered, participant characteristics and size of the dataset, and information on how the datasets were built. This study might represent an important basis for academics and researchers to understand the information collected in each pressure-map dataset, the possible uses of such datasets, or methods to build new datasets.
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spelling Lying-people pressure-map datasets : a systematic reviewIn-bed posturePressure-dataset characterizationPressure-map datasetSystematic reviewBedded or lying-people pressure-map datasets can be used to identify patients’ in-bed postures and can be very useful in numerous healthcare applications. However, the construction of these datasets is not always easy, and many researchers often resort to existing datasets to carry out their experiments and validate their solutions. This systematic review aimed to identify and characterise pressure-map datasets on lying-people- or bedded-people positions. We used a systematic approach to select nine studies that were thoroughly reviewed and summarised them considering methods of data collection, fields considered in the datasets, and results or their uses after collection. As a result of the review, six research questions were answered that allowed a characterisation of existing datasets regarding of the types of data included, number and types of poses considered, participant characteristics and size of the dataset, and information on how the datasets were built. This study might represent an important basis for academics and researchers to understand the information collected in each pressure-map dataset, the possible uses of such datasets, or methods to build new datasets.Repositório Científico do Instituto Politécnico de Castelo BrancoFonseca, Luís Filipe RodriguesRibeiro, Fernando ReinaldoMetrôlho, J.C.M.M.2023-01-05T09:10:46Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/8274enghttps://doi.org/10.3390/data8010012info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T14:27:58Zoai:repositorio.ipcb.pt:10400.11/8274Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:41:39.155123Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Lying-people pressure-map datasets : a systematic review
title Lying-people pressure-map datasets : a systematic review
spellingShingle Lying-people pressure-map datasets : a systematic review
Fonseca, Luís Filipe Rodrigues
In-bed posture
Pressure-dataset characterization
Pressure-map dataset
Systematic review
title_short Lying-people pressure-map datasets : a systematic review
title_full Lying-people pressure-map datasets : a systematic review
title_fullStr Lying-people pressure-map datasets : a systematic review
title_full_unstemmed Lying-people pressure-map datasets : a systematic review
title_sort Lying-people pressure-map datasets : a systematic review
author Fonseca, Luís Filipe Rodrigues
author_facet Fonseca, Luís Filipe Rodrigues
Ribeiro, Fernando Reinaldo
Metrôlho, J.C.M.M.
author_role author
author2 Ribeiro, Fernando Reinaldo
Metrôlho, J.C.M.M.
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico de Castelo Branco
dc.contributor.author.fl_str_mv Fonseca, Luís Filipe Rodrigues
Ribeiro, Fernando Reinaldo
Metrôlho, J.C.M.M.
dc.subject.por.fl_str_mv In-bed posture
Pressure-dataset characterization
Pressure-map dataset
Systematic review
topic In-bed posture
Pressure-dataset characterization
Pressure-map dataset
Systematic review
description Bedded or lying-people pressure-map datasets can be used to identify patients’ in-bed postures and can be very useful in numerous healthcare applications. However, the construction of these datasets is not always easy, and many researchers often resort to existing datasets to carry out their experiments and validate their solutions. This systematic review aimed to identify and characterise pressure-map datasets on lying-people- or bedded-people positions. We used a systematic approach to select nine studies that were thoroughly reviewed and summarised them considering methods of data collection, fields considered in the datasets, and results or their uses after collection. As a result of the review, six research questions were answered that allowed a characterisation of existing datasets regarding of the types of data included, number and types of poses considered, participant characteristics and size of the dataset, and information on how the datasets were built. This study might represent an important basis for academics and researchers to understand the information collected in each pressure-map dataset, the possible uses of such datasets, or methods to build new datasets.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-05T09:10:46Z
2023
2023-01-01T00:00:00Z
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dc.relation.none.fl_str_mv https://doi.org/10.3390/data8010012
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