Publication:
Pain assessment and determination methods with wearable sensors: a scoping review

dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.departmentSchool of Nursing
dc.contributor.kuauthorGürsoy, Beren Semiz
dc.contributor.kuauthorKartın Hancıoğlu, Özge
dc.contributor.kuauthorSemerci, Remziye
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.contributor.schoolcollegeinstituteSCHOOL OF NURSING
dc.date.accessioned2025-12-31T08:23:10Z
dc.date.available2025-12-31
dc.date.issued2025
dc.description.abstractThere is no gold standard for objectively measuring pain; wearable devices cannot claim to measure pain itself, but may offer correlational insights through physiological signals. This scoping review synthesizes current evidence on pain-related assessment methods using wearable sensors across pediatric and adult populations. This review followed the PRISMA-ScR guidelines. A systematic literature search was conducted across PubMed, Cochrane Library, Scopus, Web of Science, CINAHL, and Ovid MEDLINE for studies published up to December 2024. A total of 24 studies met the inclusion criteria. The most used wearable devices included commercially available smartwatches, wristbands, and multisensor platforms. Physiological indicators associated with pain responses included heart rate, heart rate variability, electrocardiography, electrodermal activity, electromyography, surface electromyography, photoplethysmography, skin temperature, and electroencephalography, reflecting autonomic, muscular, and neural system activity. Wearable sensors represent a promising, non-invasive tool for capturing physiological pain-related responses, particularly in contexts where verbal self-report is not feasible. While these devices may support more responsive and continuous pain monitoring, they cannot replace self-report measures and should not be interpreted as providing objective pain measurements.
dc.description.fulltextYes
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1007/s11517-025-03448-1
dc.identifier.eissn1741-0444
dc.identifier.embargoNo
dc.identifier.issn0140-0118
dc.identifier.pubmed40987964
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-105017046388
dc.identifier.urihttps://doi.org/10.1007/s11517-025-03448-1
dc.identifier.urihttps://hdl.handle.net/20.500.14288/31704
dc.identifier.wos001576771200001
dc.keywordsPain
dc.keywordsWearable sensors
dc.keywordsPhysiological markers
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofMedical and Biological Engineering and Computing
dc.relation.openaccessYes
dc.rightsCC BY-NC-ND (Attribution-NonCommercial-NoDerivs)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectMathematical & Computational Biology
dc.subjectMedical Informatics
dc.titlePain assessment and determination methods with wearable sensors: a scoping review
dc.typeReview
dspace.entity.typePublication
person.familyNameGürsoy
person.familyNameKartın Hancıoğlu
person.familyNameSemerci
person.givenNameBeren Semiz
person.givenNameÖzge
person.givenNameRemziye
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relation.isParentOrgUnitOfPublication9781feb6-cb81-4c13-aeb3-97dae2048412
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