Mielke Corinna, Antons Rasmus, Haux Reinhold
Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, GERMANY.
Stud Health Technol Inform. 2020 Jun 16;270:746-750. doi: 10.3233/SHTI200260.
Agitation is a symptom of many mental illnesses such as dementia. The aim of this work is to detect psychomotor agitation pattern in the living environment of a patient with dementia. To reach this goal, we built a smart home environment to collect the motion data of our patient. These data can be used to show the single movements of a person between different rooms in this apartment. The interpretation of these movements allows us to conclude if movements are normal or look like psychomotor agitation, in particular wandering around. This information might be useful for further analysis and interpretation. Additionally, it might be possible that the movement can give an indication of possible mood and behavioural changes in the patient. So it should be possible to create a long-term living environment that enables residents to live a long and independent life in their own home.
躁动是许多精神疾病（如痴呆症）的一种症状。这项工作的目的是在痴呆症患者的生活环境中检测精神运动性躁动模式。为了实现这一目标，我们构建了一个智能家居环境来收集患者的运动数据。这些数据可用于展示此人在这套公寓不同房间之间的单个动作。对这些动作的解读使我们能够判断动作是否正常，或者是否看起来像精神运动性躁动，尤其是四处徘徊。这些信息可能有助于进一步的分析和解读。此外，动作有可能显示出患者可能的情绪和行为变化。因此，应该有可能创造一个长期的生活环境，使居民能够在自己家中长久且独立地生活。
