Multimodal assessment of pain in intensive care
The intensive care patients suffer frequently from pain. Due to the limited possibilities in the assessment of this experience, their pain medication is often suboptimal leading to inferior outcome and long-term problems. In this project, cutting-edge methods in physiological signal analysis and facial expression recognition will be applied to unique data recorded from patients treated in the intensive care unit (ICU). This approach will be used for the creation of a next-generation framework for multimodal assessment of pain. The goal is to create a technology that would objectively and reliably be capable of measuring pain experience of intensive care patient. This multidisciplinary project has potential for high impact not only in the scientific field, but also in improving the clinical patient care in the ICU. In addition, substantial commercial potential in terms of technology transfer for the use of industry is recognized.
Project Investigator: Adjunct Professor Jukka Kortelainen, Faculty of Information Technology and Electrical Engineering
Researcher, PhD student Nooshin Bahador, nooshin.bahador(at)oulu.fi