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From Surveillance to Assistance: Optimizing Care of Dementia Patients by Intelligent Behavioural Analysis. Introduction into Opdemiva*as a Diagnosis-related Ambient Assisted Living (AALl) - System.

Published online by Cambridge University Press:  15 April 2020

B.S.A.J. Voigtlaender and Schneider
Affiliation:
Department of Psychiatry Behavioural Medicine and Psychosomatics, Klinikum Chemnitz, Chemnitz, Germany
M. Findeisen
Affiliation:
Department of Electrical Engineering and Information Technology Professorship of Digital and Circuit Design, TU Chemnitz, Chemnitz, Germany
L. Meinel
Affiliation:
Department of Electrical Engineering and Information Technology Professorship of Digital and Circuit Design, TU Chemnitz, Chemnitz, Germany
G. Hirtz
Affiliation:
Department of Electrical Engineering and Information Technology Professorship of Digital and Circuit Design, TU Chemnitz, Chemnitz, Germany
T. Barth
Affiliation:
Department of Psychiatry Behavioural Medicine and Psychosomatics, Klinikum Chemnitz gGmbH, Chemnitz, Germany

Abstract

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Introduction

In the course of demographic change an increasing number of dementia patients is predicted. More elderly desire to remain longer self-determined at their familiar domestic surroundings while declining disposability of nursing staff is prognosticated. Modern AAL-systems offer the opportunity to tackle this challenge.

Objectives

In order to meet the needs of dementia patients, a prospective AAL-system should discern people's activities of daily living (ADLs). Regarding to their complexity, in order to generate sophisticated assistance, the system needs to integrate harmonically into the domestic environment without any interference on ongoing activities of those concerned.

Aims

OPDEMIVA ascertains possibilities in real-time-recognizing of ADLs applying innovative contactless optical measurement sensors with focusing on the detection of high-risk behavioural patterns.

Methods

An interdisciplinary research team of technical and health-care experts was involved in the mutual project. Based on examination of the list of ADLs and preconceiving both aspects of medical importance and technical feasibility, a subset of relevant behavioural patterns was identified. An appropriate technical system based on optical smart sensor technology for ADLs detection was developed and preliminarily tested.

Results

In preliminary tests several fundamental ADLs, e.g. movement and recreation could be detected with high reliability while possible deficits like motionlessness over a defined period became derivable.

Conclusions

Smart sensor based detection of dementia-related high-risk behavioural patterns requires extensive detailed examination of capabilities and needs of persons concerned. Patient's privacy and ethic concerns are of high relevance. Results gained as yet imperatively demand further research.

Type
Article: 1452
Copyright
Copyright © European Psychiatric Association 2015

Footnotes

*

sponsored by funds of the European Regional Development Fund (ERDF) and the Free State of Saxony

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