Using Sensor Technology to Monitor Disruptive Behavior of Persons With Dementia.
Maria Yefimova, Diana Lynn Woods · National Conference on Artificial Intelligence · 2012
An anticipated increase in the number of people with dementia will lead to an escalation in health and social care spending unless it is altered by a major breakthrough in treatment or prevention. Behavioral symptoms associated with dementia (BSD) are some of the most difficult problems faced by caregivers. Several measurement issues have hampered the progress of timely intervention for BSD. Sensor technology may offer a solution to the early detection of BSD that will guide the development of tailored interventions. Similarly, a clinical conceptualization of BSD and its measurement issues can facilitate the engineering of sensor networks and algorithms for activity recognition. Multidisciplinary collaboration and the consideration of ethical issues will improve the adoption of these technologies in healthcare research.