Preventing pressure ulcers by image based posture detection

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dc.contributor.authorSoleimani, Raminen
dc.contributor.authorPesch, Dirken
dc.date.accessioned2025-11-19T11:48:35Z
dc.date.available2025-11-19T11:48:35Z
dc.date.issued2023-07-17en
dc.description.abstractPressure ulcers, also known as pressure sores or bedsores, are a disease affecting the skin and underlying tissue that mostly occurs over bony parts of the body because of long-term exposure to pressure. Pressure ulcers most commonly develop in patients who are often bed-or chair-bound for long periods of time. When an ulcer occurs, its treatment is often complex and expensive. Relieving the pressure imposed on the patient skin is the most effective approach for preventing bedsores. Common practice in hospitals and nursing homes is to periodically repositioning the patient. Manually relieving patient skin pressure places a financial and physical burden on caregivers. In this paper, we are proposing a detection approach that optimally detects patient posture and spots at-risk locations on the body by using data from a pressure sensor array in a bed. Our novel ulcer detection solution is based on posture detection using an SVM-based classifier, whose performance was considerably boosted by the pre-processing pipeline we designed. The approach periodically generates outputs that can be used to trigger actuators in air-enabled mattresses to inflate and deflate the air in the target locations. This technique can also be used in robot-equipped beds to turn patients if needed to prevent bedsores. The generated outputs can also be used in reporting the patient's condition.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSoleimani, R. and Pesch, D. (2023) ‘Preventing pressure ulcers by image based posture detection’, 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L’Aquila, Italy, 22-24 June 2023, pp. 23–28. https://doi.org/10.1109/CBMS58004.2023.00186en
dc.identifier.doi10.1109/CBMS58004.2023.00186en
dc.identifier.eissn2372-9198en
dc.identifier.endpage28en
dc.identifier.isbn979-8-3503-1224-9en
dc.identifier.isbn979-8-3503-1225-6en
dc.identifier.issn2372-918Xen
dc.identifier.startpage23en
dc.identifier.urihttps://hdl.handle.net/10468/18217
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofhttps://ieeexplore.ieee.org/xpl/conhome/10178426/proceedingen
dc.rights© 2023, IEEE. For the purpose of Open Access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectImage processingen
dc.subjectBedsoreen
dc.subjectPressure ulcers preventionen
dc.subjectComputerized monitoringen
dc.subjectSupport Vector Machineen
dc.titlePreventing pressure ulcers by image based posture detectionen
dc.typeConference itemen
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