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Connectivity
| Project leader |
banozic adriana |
| Project co-leader: |
Prof.Dr. Johan Vlaeyen |
| Administering organization: |
University of Split, School of Medicine |
| Partner Institution/Company: |
Department of Clinical Psychological Sciences, Faculty of Neuroscience and Psychology, University of Maastricht |
| Grant type: |
2A |
| Project title: |
Facial expression as a pain indicator of socially excluded chronic pain patients |
| Project summary: |
A fundamental problem in diagnostics of pain is that it entirely relies on patient’s self-report. The subjectivity of the patients’ pain reports has led to a search for surrogate pain indicators. To date, no objective surrogate with acceptably high sensitivity and specificity has been found.
This project aims at introducing facial expression analysis (FA) as a new approach to tackle this issue. This system comprises recording of patient facial expressions and subsequent computer analysis. Besides clinical implications, this technique will be used in current research project in which we examine the association of social exclusion to pain perception in chronic pain (CP) patients. CP patients are vulnerable to social exclusion processes due to detrimental effects of their illness.
In that context, FA methodology might be particularly useful because it would aid in detecting aspects of social pain that would otherwise be missed. In conclusion, our goal is to adopt FA methodology and implement that technology in diagnostic procedures in local Pain Clinic and our research practice.
This methodology could also be used to enable new collaborations, improve our innovation capacities, attract international research funding and contribute to education of young scientists in our PhD programs.
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| Hrvatski sažetak: |
Jedan od najizraženijih izazova u dijagnostici boli je ovisnost o samoevaluacijama pacijenta. Subjektivnost procjena boli ukazuju na potrebu za nalaženjem novih indikatora boli, budući da još uvijek nema zadovoljavajuće pouzdanih i valjanih mjera.
Cilj ovog projekta je adaptirati metodologiju koja se odnosi na prepoznavanje pokreta mišića lica kako bismo dobili pouzdanije indikatore bolnog ponašanja. Ova metoda se sastoji od snimanja facijalnih ekspresija pacijenata i software analize snimljenih mišićnih pokreta lica. Osim kliničkih implikacija ova tehnika će se koristiti i u aktualnom projektu u kojem se istražuje povezanost socijalne ekskluzije s percepcijom boli kod kroničnih bolesnika. Kronični bolesnici su osobito izloženi ugrožavajućim socijalnim procesima. S obzirom na to ne-verbalni indikator boli (pokreti facijalnih mišića) može biti osobito korisna mjera u detektiranju nekih aspekata boli koji bi nam drukčije promakli. Zaključno naš cilj je adaptirati metodologiju analize pokreta facijalnih mišića i koristiti tu metodologiju u dijagnostici u Klinici za bol te našoj istraživačkoj praksi. Učenje i korištenje ove tehnike će također facilitirati suradnju s inozemnim istraživačkim grupama, privući inozemno financiranje te doprinijeti edukaciji mladih znanstvenika u našim doktorskim programima. |
| Amount requested from UKF: |
26.906,80 HRK |
| Amount of matching funding: |
5.381,00 HRK |
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