Publications

2010

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Title Painassement in severe demented elderly based on facial expression
Authors Leysens, G., Noben, A., De Maesschalck, L.
Type Article: Journal of Clinical Nursing, 19(1), 159.
Place -
Date 2010
Abstract -
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Title Pain observation by means of a digital scale.
Authors Lieven De Maesschalck, Greet Leysens, Bert Bonroy, Pieter Schiepers, Dragana Miljkovic, Maartje Wils, Bart Vanrumste, Vasileios Exadaktylos, Daniel Berckmans, Eric Triau
Type Abstract in: Special Issue: Fourth European Nursing Congress - Older Persons: the Future of Care
Place Rotterdam - The Netherlands
Date 4-7 October 2010
Abstract -
Download Wiley-Blackwell Ltd - abstract nr. L5-S22, pp. 152-161.

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Title On-site electronic observational assessment tool for discomfort and pain
Authors Pieter Schiepers; Bert Bonroy; Greet Leysens; Dragana Miljkovic; Bart Vanrumste; Lieven De Maesschalck; Stijn Quanten; Daniel Berckmans
Type Article: Computer Methods and Programs in Biomedicine
Place  
Date Accepted: 20 October 2009
Abstract

Over the recent years pen-paper observational assessment scales have proven to be useful to monitor behaviour and responses of humans and animals. Observational assessment tools are typically applied for subjects who are not able to communicate directly. For on-site observational assessment however it is hard to record and evaluate timing patterns of observed events using pen-paper scales. Although timing information is in many cases assumed highly valuable, only (videotaped) laboratory scales are able to benefit from this knowledge. In the work described in this paper we digitize pen-paper assessment scales resulting in new functionalities capable to improve assessment scores. A study of on-site pain and discomfort assessment of severely demented elderly is presented. The resulting system is a mobile electronic device with a graphical user interface (GUI) on a touch screen. Moreover digital information is stored in a database improving administration, providing immediate feedback and allowing applications like: visualisation, statistical analysis and scientific research like data mining. The device allows easily registering and automatically interpreting complex timing patterns of behaviours and responses, on- site. This feature could be employed in the development of new more accurate observational assessment instruments.

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Title Acquiring a Dataset of Labeled Video Images Showing Discomfort in Demented Elderly
Authors Bonroy B., Schiepers P., Leysens G., Miljkovic D., Wils M., De Maesschalck L., Quanten S., Triau E., Exadaktylos V., Berckmans D., Vanrumste B.
Type Article: TELEMEDICINE JOURNAL AND E-HEALTH
Place MARY ANN LIEBERT INC, 140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801 USA
Date MAY 2009
Abstract

One of the effects of late-stage dementia is the loss of the ability to communicate verbally. Patients become unable to call for help if they feel uncomfortable. The first objective of this article was to record facial expressions of bedridden demented elderly. For this purpose, we developed a video acquisition system (ViAS) that records synchronized video coming from two cameras. Each camera delivers uncompressed color images of 1,024 x 768 pixels, up to 30 frames per second. It is the first time that such a system has been placed in a patient's room. The second objective was to simultaneously label these video recordings with respect to discomfort expressions of the patients. Therefore, we developed a Digital Discomfort Labeling Tool (DDLT). This tool provides an easy-to-use software representation on a tablet PC of validated "paper" discomfort scales. With ViAS and DDLT, 80 different datasets were obtained of about 15 minutes of recordings. Approximately 80% of the recorded datasets delivered the labeled video recordings. The remainder were not usable due to under-or overexposed images and due to the patients being out of view as the system was not properly replaced after care. In one of 6 observed patients, nurses recognized a higher discomfort level that would not have been observed without the DDLT.

Dowload ISSN: 1530-5627

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Title Development of an electronic observational pain scale
Authors Leysens, G., De Maesschalck, L., Bonroy, B., Vanrumste, B., Triau, E., Wils, M., Schiepers, P., Miljkovic, D., Exadaktylos, V., Berckmans, D.
Type Conference abstract: 11th Congress of the European Association for Palliative Care
Place Vienna, Austria
Date May 7-10, 2009
Abstract

Pen-paper observational scales have proven to be useful to monitor pain, but have also a lot of disadvantages. The aim of this study is to present and examine the advantages of an electronic observational pain scale.
The pilot study (approved by a medical ethical committee) took place in a specific geriatric centre. Patients are included when they’re bedridden and have limited ability to communicate verbally. The caregiver has to objectify pain by means of a behavioural observation scale. Their usability is often limited, they are time-consuming because of their length, difficulties in calculating scores, and post processing required to evaluate the pain evolution. Also the exact timing of the indicators can’t be recorded in real-time, and thus complex timing patterns can’t be evaluated. Each patient was tracked for 6 random days, in which 6 assessment sessions were performed at clinically interesting moments, after an informed consent was signed by a relative. As input for the electronic scale, 3 valid and reliable scales are chosen: the Pain Assessment Checklist for Seniors with Limited Ability to Communicate, the Discomfort Scale - Dementia of Alzheimer Type, and the Faces Pain Scale Revised. The electronic device (a tablet PC with a touch screen) allows the caregiver to record indicator events, such as frequency and duration, as they occur in real time. The scores are calculated automatically. The digital information is stored in a database, improving administration and allowing database applications. With the advantages of the electronic device, nurses will be stimulated to perform more frequent pain measurements. A more adequate treatment can be provided with the knowledge of a more accurate pain level. Advantages of this electronic observational pain scale are an increased usability, less time-consuming and inclusion of complex timing patterns. This will lead to a more accurate measurement of pain, a more adequate treatment and thus improving quality of life.

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Title Monitoring Pain in Severe Dementia by Automatic Vision System
Authors Triau, E., Wils, M., Berckmans, D. Schiepers, P., Miljkovic, D., Exadaktylos, V., Vanrumste, B., Bonroy, B., Leysens, G., De Maesschalck, L.,
Type Conference of Alzheimer Disease International
Place Singapore
Date March 25-28, 2009
Abstract -
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Title A Video Acquisition System to Develop a Real-Time Discomfort Recognition Algorithm
Authors Bonroy, B., Leysens, G., Miljkovic, D., Schiepers, P., Triau, E.,Wils, M., Berckmans, D., Colleman, P., De Maesschalck, L., Quanten, S., Vanrumste, B.
Type Abstract in conference proceedings 7th International Conference and Workshop on Ambient Intelligence and Embedded Systems
Place Kiel, Germany
Date September 10-12, 2008
Abstract -
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Title Image Acquisition System to Monitor Discomfort in Demented Elderly Patients
Authors Bert Bonroy, Greet Leysens, Dragana Miljkovic, Pieter Schiepers, Eric Triau, Maartje
Wils, Daniel Berckmans, Patrick Colleman, Lieven De Maesschalck, Stijn Quanten, Bart Vanrumste
Type Proceedings of the Third European Conference on the Use of Modern Information and Communication Technologies
Place Ghent, Belgium
Date March 13-14, 2008
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 non-verbal 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).

Dowload Published by Nevelland v.z.w ISBN 9-78908082-553-6

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Title Video Acquisition System to Recognize Discomfort in Demented Elderly Patients Facial Expressions
Authors Bert Bonroy, Greet Leysens, Dragana Miljkovic, Pieter Schiepers, Eric Triau, Maartje
Wils, Daniel Berckmans, Patrick Colleman, Lieven De Maesschalck, Stijn Quanten, Bart Vanrumste
Type Conference Proceedings of the IEEE Benelux EMBS Symposium
Place Heeze, The Netherlands
Date December 6-7, 2007
Abstract

Epidemiological research shows that 5% up to 10% of the population older than 65 years is suffering from dementia. With the increased liveexpectation, 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 non-verbal 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).

Dowload [Poster]

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Title Image Acquisition System to Recognize Discomfort in Facial Expressions of Demented Elderly
Authors Bert Bonroy, Greet Leysens, Dragana Miljkovic, Pieter Schiepers, Eric Triau, Maartje
Wils, Daniel Berckmans, Patrick Colleman, Lieven De Maesschalck, Stijn Quanten, Bart Vanrumste
Type Conference Proceedings of the Belgian Day on Biomedical Engineering
Place Brussels, Belgium
Date November 30, 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 non-verbal expressions of patients with severe dementia by means of a vision system and to identify discomfort in real-time.

This abstract 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.

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Title Image Acquisition System to Monitor Discomfort in Demented Elderly Patients
Authors Bert Bonroy, Greet Leysens, Dragana Miljkovic, Pieter Schiepers, Eric Triau, Maartje
Wils, Daniel Berckmans, Patrick Colleman, Lieven De Maesschalck, Stijn Quanten, Bart Vanrumste
Type Conference Proceedings of the 18th ProRISC Annual Workshop on Circuits, Systems and Signal Processing
Place Veldhoven, The Netherlands
Date November 29-30, 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).

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contact us www.painvision.be newsletters home research publications staff infrastructure partners contact links www.painvision.be monitoring of discomfort in demented eldery patients based on automatic image recognation