{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:48:44Z","timestamp":1762508924273,"version":"build-2065373602"},"reference-count":25,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,12,30]],"date-time":"2022-12-30T00:00:00Z","timestamp":1672358400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Bedded or lying-people pressure-map datasets can be used to identify patients\u2019 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.<\/jats:p>","DOI":"10.3390\/data8010012","type":"journal-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T02:12:48Z","timestamp":1672625568000},"page":"12","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Lying-People Pressure-Map Datasets: A Systematic Review"],"prefix":"10.3390","volume":"8","author":[{"given":"Lu\u00eds","family":"Fonseca","sequence":"first","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1225-3844","authenticated-orcid":false,"given":"Fernando","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"},{"name":"DiSAC\u2014Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7327-2109","authenticated-orcid":false,"given":"Jos\u00e9","family":"Metr\u00f4lho","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Castelo Branco, 6000-081 Castelo Branco, Portugal"},{"name":"DiSAC\u2014Research Unit on Digital Services, Applications and Content, 6000-767 Castelo Branco, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Enayati, M., Skubic, M., Keller, J.M., Popescu, M., and Farahani, N.Z. 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Tissue Viability"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/1\/12\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:48:51Z","timestamp":1760147331000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/1\/12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,30]]},"references-count":25,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,1]]}},"alternative-id":["data8010012"],"URL":"https:\/\/doi.org\/10.3390\/data8010012","relation":{},"ISSN":["2306-5729"],"issn-type":[{"type":"electronic","value":"2306-5729"}],"subject":[],"published":{"date-parts":[[2022,12,30]]}}}