Please use this identifier to cite or link to this item:
https://accedacris.ulpgc.es/handle/10553/139736
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kulbacki, Marek | en_US |
dc.contributor.author | Segen, Jakub | en_US |
dc.contributor.author | Kulbacki, Michał | en_US |
dc.contributor.author | Chaczko, Zenon | en_US |
dc.contributor.author | Bożejko, Wojciech | en_US |
dc.contributor.author | Suárez Araujo, Carmen Paz | en_US |
dc.contributor.author | Klempous, Ryszard | en_US |
dc.contributor.author | Bonikowski, Marcin | en_US |
dc.date.accessioned | 2025-06-09T11:10:25Z | - |
dc.date.available | 2025-06-09T11:10:25Z | - |
dc.date.issued | 2025 | en_US |
dc.identifier.isbn | 9783031829598 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | https://accedacris.ulpgc.es/handle/10553/139736 | - |
dc.description.abstract | Cerebral Palsy (CP) requires individualized interventions due to its complex nature affecting movement and coordination. Medical Human Digital Twin (MHDT) technology offers significant advancements in CP management by creating virtual representations of patients’ physical and neurological states. This paper reviews MHDT applications in CP diagnosis, therapy, and rehabilitation. Advanced imaging techniques and sensor integration enhance early and accurate diagnosis through detailed patient modeling. Therapeutic applications focus on personalized treatment plans using AI-driven models, VR/AR, and robotic-assisted devices, ensuring continuous optimization through real-time monitoring. Rehabilitation strategies benefit from immersive technologies and adaptive feedback, improving patient engagement and outcomes. The integration of human empathy with data-driven insights enables more precise and effective care. Ethical considerations, data management challenges, and future research directions, including interdisciplinary collaboration, are discussed. MHDTs present a transformative approach to CP care, promising improved patient outcomes and personalized healthcare solutions. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.source | Lecture Notes in Computer Science[ISSN 0302-9743],v. 15173 LNCS, p. 125-139, (Enero 2025) | en_US |
dc.subject | 33 Ciencias tecnológicas | en_US |
dc.subject.other | Advanced Imaging | en_US |
dc.subject.other | Ai | en_US |
dc.subject.other | Cerebral Palsy | en_US |
dc.subject.other | Data Integration | en_US |
dc.subject.other | Diagnosis | en_US |
dc.subject.other | Machine Learning | en_US |
dc.subject.other | Medical Human Digital Twin | en_US |
dc.subject.other | Personalized Medicine | en_US |
dc.subject.other | Rehabilitation | en_US |
dc.subject.other | Therapy | en_US |
dc.title | Advancements and Applications of Medical Human Digital Twin Technology in Cerebral Palsy Diagnosis, Therapy, and Rehabilitation | en_US |
dc.type | info:eu-repo/semantics/conferenceObject | en_US |
dc.type | ConferenceObject | en_US |
dc.relation.conference | 19th International Conference on Computer Aided Systems Theory, EUROCAST 2024 | en_US |
dc.identifier.doi | 10.1007/978-3-031-82957-4_12 | en_US |
dc.identifier.scopus | 105004255171 | - |
dc.contributor.orcid | 0000-0003-4609-106X | - |
dc.contributor.orcid | 0000-0002-8697-6025 | - |
dc.contributor.orcid | 0000-0001-9113-962X | - |
dc.contributor.orcid | 0000-0002-2816-7510 | - |
dc.contributor.orcid | 0000-0002-1868-8603 | - |
dc.contributor.orcid | 0000-0002-8826-0899 | - |
dc.contributor.orcid | 0000-0003-4889-0930 | - |
dc.contributor.orcid | 0000-0002-2028-7024 | - |
dc.contributor.authorscopusid | 12042305500 | - |
dc.contributor.authorscopusid | 6701816978 | - |
dc.contributor.authorscopusid | 58248778400 | - |
dc.contributor.authorscopusid | 15126428400 | - |
dc.contributor.authorscopusid | 6506558284 | - |
dc.contributor.authorscopusid | 59772838500 | - |
dc.contributor.authorscopusid | 6603654422 | - |
dc.contributor.authorscopusid | 18933890800 | - |
dc.identifier.eissn | 1611-3349 | - |
dc.description.lastpage | 139 | en_US |
dc.description.firstpage | 125 | en_US |
dc.relation.volume | 15173 LNCS | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Actas de congresos | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Enero 2025 | en_US |
dc.identifier.conferenceid | events155914 | - |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-INF | en_US |
dc.description.sjr | 0,606 | |
dc.description.sjrq | Q2 | |
dc.description.miaricds | 10,0 | |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.orcid | 0000-0002-8826-0899 | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.fullName | Suárez Araujo, Carmen Paz | - |
crisitem.event.eventsstartdate | 25-02-2024 | - |
crisitem.event.eventsenddate | 01-03-2024 | - |
Appears in Collections: | Actas de congresos |
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