Friday 1 June 2018
We are pleased to announce 3 novel HIGH TECH HUMAN TOUCH projects from the PERVASIVE SYSTEM GROUP (EWI) and PERSUASIVE HEALTH TECHNOLOGY LAB (BMS) that are ICONS of the University’s multidisciplinary approach in eHealth Technology.
Lisette van Gemert-Pijnen Paul Havinga
In these projects we bring together in expertise in sensing technology, persuasive coaching, data science, cost effectiveness of health technology and domain expertise in Dementia and Diabetes Care, to develop novel data-driven ecosystems for health and wellbeing.
- Unobtrusive Sensing technologies to monitor and coach elderly with dementia: Track, Trace and Trigger! (CREATE Health ZonMw; Annemarie Braakman, Lisette van Gemert-Pijnen, Paul Havinga, together with NEDAP Healthcare)
The project addresses how unobtrusive sensor technology and acoustic cues can be used to help people with dementia, while preventing potential obtrusion and privacy breaching. The ultimate goal is to optimize staying at home and to influence health and wellbeing in a positive way for people with mild dementia. The sensing is based upon analyzing in real-time the disturbance of radio waves from e.g. WiFi basestations, to identify the movements, gestures and physiological signs (heart rate and breathing).
We will explore how the monitoring data can be used for unobtrusive coaching while estimating the mood of the person. Therefore, the monitoring system will be connected with a ‘smart music box’ which prompts acoustic cues (music) to TRIGGER verbal and nonverbal communication and activity. - Power4FitFoot; Data Driven Personalized Self-Management of Patients with Heart Failure & Diabetic Foot: An integrative approach to predict and manage high risk factors (NWO Data2Person , Commit2Data; Paul Havinga, Lisette van Gemert-Pijnen, Bernard Veldkamp, Rik Crutzen en partners ZGT, Thales, Reggeborgh)
Power4FitFoot aims to support cardiovascular patients with diabetic foot. Power4FitFoot follows a multidisciplinary development approach: researchers (medicine, computer and behavioral sciences) work together with patients, caregivers and industrial companies to develop personalized self-management products and services to prevent Diabetic Foot Ulcers (DFU) or amputations. Real-time sensor data analytics and big data are the key ingredients in our approach. The result will be an early warning system (EWS) on risk detection of deterioration, with feedback and coaching.
The project will start with the identification of the major risk factors using existing retrospective data sets. A smart monitoring system based on a smart sensor sock and shoe will enable personalized feedback via sensor data analytics. This will be enriched with external data sets from various sources (medical, lifestyle, geo-spatial) to further develop the prognostic models. This will then enable real-time coaching for the patients. Prognostic models will facilitate a dynamic and context aware heuristics for a self-management support system. - Socio-economic impact of motivational interviewing on adherence to orthopedic shoes (ZonMw; lisette van Gemert-Pijnen, Erik Koffijberg (HTSR), Christina Bode, Peter ten Klooster, Jaap van Netten (ZGT), Stein Exterkate (voetencentrum))
This project is aligned with the Power4FitFoot project, supporting a multidisciplinary based approach of diabetic foot equipment and care: a novel fitting procedure for orthopaedic shoes, focussing on the health and economic effects of the equipment for diabetic foot care and behavioural aspects to personalize and tailor the orthopaedic equipment to patients. To examine the added value of the novel full care process we apply health economic methods to assess the effects on quality of life (risk complications, patient satisfaction) and economic outcomes (costs of equipment, costs of care process) and the effects on adherence to the equipment, using sensor technology built in shoes and a sensor bracelet to monitor adherence. The findings of the study will be implemented in the 200 locations for diabetic foot healthcare.
