Title: Image Acquisition System to Monitor Discomfort in Demented Elderly Patients
Authors: Bonroy, Bert
Leysens, Greet
Miljkovic, Dragana
Schiepers, Pieter
Triau, Eric
Wils, Maartje
Berckmans, Daniel
Colleman, Patrick
De Maesschalck, Lieven
Quanten, Stijn
Vanrumste, Bart
Issue Date: 29-Nov-2007
Host Document: Conference Proceedings of the 18th ProRISC Annual Workshop on Circuits, Systems and Signal Processing
Conference: the 18th ProRISC Annual Workshop on Circuits, Systems and Signal Processing edition:18 location:Veldhoven, The Netherlands date:29-30 November 2007
Abstract: Epidemiological research shows that 5% up to 10% of the population older than 65 years is suffering from dementia. With the increased live-expectation, the chance of obtaining dementia, is increasing too. One important and underestimated aspect is discomfort (pain) in our target group. Recognition of pain is therefore an important issue for the caregivers. The purpose of our project is to present a way of monitoring the nonverbal expressions of patients with severe dementia by means of a vision system and to identify discomfort in real-time by means of pattern recognition techniques. This system can constantly monitor the patient and alarm a caregiver when the patient reaches a certain critical level of pain. This paper describes the setup of the acquisition system to obtain high quality stereo images of the patient’s face together with pain indicator information provided by a pain expert. This acquisition system must meet the requirements enforced from technical point of view (frame rate, resolution, etc.) as well as from medical point of view (simple to use, do not disturb the natural look of a patient room, etc).
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Division M3-BIORES: Measure, Model & Manage Bioresponses (-)
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Health Care Department - Lier Campus - TM K
Academic Centre for Nursing and Midwifery
Technologiecluster ESAT Elektrotechnische Engineering
Electrical Engineering (ESAT) TC, Technology Campus Geel
Electrical Engineering (ESAT) TC, Technology Campus Diepenbeek

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