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A Computer Vision-Based System to Help Health Professionals to Apply Tests for Fall Risk Assessment

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dc.contributor.author Blasco-García, Jesús-Damian
dc.contributor.author García-López, Gabriel
dc.contributor.author Jiménez-Muñoz, Marta
dc.contributor.author López-Riquelme, Juan-Antonio
dc.contributor.author Feliu-Batlle, Jorge-Juan
dc.contributor.author Pavon-Pulido, Nieves
dc.contributor.author Herrero, María-Trinidad
dc.date.accessioned 2025-10-20T14:40:19Z
dc.date.available 2025-10-20T14:40:19Z
dc.date.issued 2024-03
dc.identifier.citation Blasco-García JD, García-López G, Jiménez-Muñoz M, López-Riquelme JA, Feliu-Batlle JJ, Pavón-Pulido N, et al. A Computer Vision-Based System to Help Health Professionals to Apply Tests for Fall Risk Assessment. Sensors. 21 de marzo de 2024;24(6):2015.
dc.identifier.uri https://sms.carm.es/ricsmur/handle/123456789/20483
dc.description.abstract A study was designed in order to analyze the effects of fear appeals on psychophysiological, subjective and behavioral responses on the target audience. Three messages on breast cancer, promoting regular mammography screening, elaborated in a similar way to those used by health promotion programs, were presented to ninety-eight women aged 49-50. Messages were of equal length, format and structure but varied in specific clues which distinguished their character (Threat, Surprise, and Standard/control). Psychophysiological reactions (heart rate and frequency of non- specific skin conductance responses) were recorded continuously during message exposure. Self-report measures and personality traits (STAI and EPQ-A) were obtained after viewing the stimulus. There were significant responses to the messages for all psychophysiological measures. The pattern of psychophysiological response, independent of the eliciting message, was significantly related to cancer preventive/detection behavior.
dc.language.iso eng
dc.publisher MDPI
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/ *
dc.subject.mesh Humans
dc.subject.mesh Aged
dc.subject.mesh Artificial Intelligence
dc.subject.mesh Risk Assessment/methods
dc.subject.mesh Exercise Therapy
dc.subject.mesh Computers
dc.title A Computer Vision-Based System to Help Health Professionals to Apply Tests for Fall Risk Assessment
dc.type info:eu-repo/semantics/article
dc.identifier.pmid 38544276
dc.relation.publisherversion https://dx.doi.org/10.3390/s24062015
dc.type.version info:eu-repo/semantics/publishedVersion
dc.identifier.doi 10.3390/s24062015
dc.journal.title Sensors
dc.identifier.essn 1424-8220


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