Bert Bonroy

Bert Bonroy
Thomas More University of Applied Sciences · MOBILAB

PhD

About

35
Publications
3,701
Reads
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495
Citations
Introduction
Research leader at #Mobilab&Care @TMResearchBE and fascinated about how technology can support the care of today and tomorrow!

Publications

Publications (35)
Article
Full-text available
Accumulating evidence supports the use of virtual reality (VR) as an effective pain and anxiety management tool for pediatric patients during specific medical procedures in dedicated patient groups. However, VR is still not widely adopted in everyday clinical practice. Feasibility and acceptability measures of clinicians' experiences are often miss...
Article
Full-text available
Background: Living labs in the health and well-being domain have become increasingly common over the past decade but vary in available infrastructure, implemented study designs, and outcome measures. The Horizon 2020 Project Virtual Health and Wellbeing Living Lab Infrastructure aims to harmonize living lab procedures and open living lab infrastruc...
Preprint
BACKGROUND Living labs in the health and wellbeing domain have become increasingly common over the past decade but vary in available infrastructure, implemented study designs and outcome measures. Increased transnational collaboration and harmonization can further improve research quality. The Horizon 2020 Project ‘Virtual Health and Wellbeing Livi...
Article
Full-text available
E-mental health (eMH) encompasses the use of digital technologies to deliver, support, or enhance mental health services. Despite the growing evidence for the effectiveness of eMH interventions, the process of implementation of eMH solutions in healthcare remains slow throughout Europe. To address this issue, the e-Mental Health Innovation and Tran...
Article
Full-text available
Background Arousal may be important for learning to restructure ones’ negative cognitions, a core technique in depression treatment. In virtual reality (VR), situations may be experienced more vividly than, e.g., in an imaginative approach, potentially aiding the emotional activation of negative cognitions. However, it is unclear whether such activ...
Article
Full-text available
Over the past years, mobile health (mHealth) applications and specifically wearables have become able and available to collect data of increasing quality of relevance for mental health. Despite the large potential of wearable technology, mental healthcare professionals are currently lacking tools and knowledge to properly implement and make use of...
Chapter
Full-text available
Even though eMH solutions have an important potential to reduce waiting lists and costs for mental health care, Belgium only shows initial levels of awareness of eMH products and services in various stakeholder groups. eMH-related initiatives and projects are evolving with support from federal and regional government, and higher education is starti...
Article
Purpose Detection of, and alarming for epileptic seizures is increasingly demanded and researched. Our previous review article provided an overview of non-invasive, non-EEG (electro-encephalography) body signals that can be measured, along with corresponding methods, state of the art research, and commercially available systems. Three years later,...
Article
We investigate the application of feature selection methods and their influence on distinguishing nocturnal motor seizures in epileptic children from normal nocturnal movements using accelerometry signals. We studied two feature selection methods applied one after the other to reduce the complexity and computation costs of least-squares support vec...
Article
Full-text available
Purpose: The aim of our study was to test the efficacy of the VARIA system (video, accelerometry, and radar-induced activity recording) and validation of accelerometry-based detection algorithms for nocturnal tonic-clonic and clonic seizures developed by our team. Methods: We present the results of two patients with tonic-clonic and clonic seizu...
Article
Epileptic seizure detection is traditionally done using video/electroencephalography monitoring, which is not applicable for long-term home monitoring. In recent years, attempts have been made to detect the seizures using other modalities. In this study we investigated the application of four accelerometers (ACM) attached to the limbs and surface e...
Article
A seizure detection system in the non-clinical environment would enable long-term monitoring and give better insights into the number of seizures and their characteristics. Moreover, an alarm at seizure onset is important for alerting the parents or care-givers so they could comfort the child and optionally give the treatment. Therefore, we develop...
Article
Full-text available
Nocturnal home monitoring of epileptic children is often not feasible due to the cumbersome manner of seizure monitoring with the standard method of video/EEG-monitoring. We propose a method for hypermotor seizure detection based on accelerometers attached to the extremities. From the acceleration signals, multiple temporal, frequency and wavelet b...
Article
Purpose: There is a need for a seizure-detection system that can be used long-term and in home situations for early intervention and prevention of seizure related side effects including SUDEP (sudden unexpected death in epileptic patients). The gold standard for monitoring epileptic seizures involves video/EEG (electro-encephalography), which is u...
Conference Paper
Data of nocturnal movements in epileptic patients is marked by an imbalance due to the relative small number of seizures compared to normal nocturnal movements. This makes developing a robust classifier more difficult, especially with respect to reducing the number of false positives while keeping a high sensitivity. In this paper we evaluated diff...
Article
Full-text available
We developed a knee brace to measure the knee angle and implicitly the flexion/extension (f/e) of the knee joint during daily activities. The goal of this study is to classify and validate a limited set of physical activities on ten young healthy subjects based on knee f/e. Physical activities included in this study are walking, ascending and desce...
Article
Long-term home monitoring of epileptic seizures is not feasible with the gold standard of video/electro-encephalography (EEG) monitoring. The authors developed a system and algorithm for nocturnal hypermotor seizure detection in pediatric patients based on an accelerometer (ACM) attached to extremities. Seizure detection is done using normal moveme...
Conference Paper
Epileptic seizure detection in a home situation is often not feasible due to the complicated attachment of the EEG-electrodes on the scalp. We propose to detect nocturnal seizures with a motor component in patients by means of a single video camera. To this end we use a combination of optical flow and mean shift clustering to egister moving body pa...
Conference Paper
In this paper we investigate whether it is possible to detect movement out of video images recorded from sleeping patients with epilepsy. This information is used to detect possible epileptic seizures, normal movement, breathing and other kinds of movement. For this we use optical flow and clustering algorithms. As a result, different motion patter...
Article
Introduction: Pen-paper observational scales have proven to be useful to assess pain in severe demented elderly, but also have a lot of disadvantages. 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 timing and...
Article
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...
Conference Paper
Every year, thousands of elderly people are victim of a fall incident. Sometimes with severe consequences such as hip fractures or even death but, in many cases, the main problem is that an injured elderly may be laying on the ground for several hours or even days after a fall incident has occurred. This makes it important to have a fall detection...
Article
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 synchroniz...
Article
Full-text available
Every year, thousands of elderly people are victim of a fall incident. Sometimes with severe consequences such as hip fractures or even death but, in many cases, the main problem is that an injured elderly may be laying on the ground for several hours or even days after a fall incident has occurred. This makes it important to have a fall detection...
Article
Full-text available
Many older persons fall and are not able to get up again. The lack of timely aid can lead to severe complications. A camera based fall detection system can provide a solution. This paper gives the current status of our IWT-TETRA project FallCam. The goal of the project is to create a camera based fall detection system. Part of the project is creati...
Article
Algemeen handelt mijn eindwerk over het optimaliseren van het service proces. Concreet gezien bestaat dit uit twee verschillende opdrachten. Beide opdrachten vertrekken van een bestaande dynamische website, de Helpdesk, waar nieuwe functies aan toegevoegd worden. De Helpdesk is een belangrijk communicatiemiddel tussen Siemens en haar klanten binnen...

Network

Cited By

Projects

Projects (2)
Project
Modem is an expert network in innovative assistive technology that aims for maximum participation for everyone with a disability in Flanders. We bring together experts of a variety of organizations from the healthcare sector. We collect and distribute information and expertise about (communication)technology that supports people with disabilities. We do this through research, personal advice and training for professionals. Modem is an initiative of Thomas More University of Applied Sciences together with 14 partners (dec. 2019) from the healthcare sector.
Project
Wearable technology for mental health. More information: www.carewear.be