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Evaluation of a modular scalable system for silver-ager located in assisted living homes in Austria--study protocol of the ModuLAAr ambient assisted living project.

ABSTRACT: To cope with the upcoming demographic change, economic efforts in the European Union are undertaken to promote activities in research and development of Ambient Assisted Living (AAL) solutions. As a result, a large variety of AAL products will be available in the next years. Only very few of these products are comprehensively evaluated regarding different aspects of quality of life in the target population. The aim of this study is to examine the effects of AAL on quality of life, health and technology acceptance of people at advanced age living in assisted living homes providing them the ModuLAAr Ambient Assisted Living system.A treatment group of adults aged 60 years and older will be recruited within the participating assisted living homes. At baseline, the participating volunteers will report on quality of life, subjective health and sociodemographic conditions. After system installation, prospective follow-up (1, 4, 12 and 18 months) with additional reporting on technology acceptance and usability of the system will be conducted. Mixed methods data collection, linking quantitative data to interview-gathered qualitative data will be applied. Primary outcome measure will be the change in quality of life and subjective health across study duration.As there is currently very little evidence that AAL solutions can contribute to improved health and the particular dimensions of quality of life in elderly persons, there is a need to assess these technologies and services more carefully. This field trial seeks to investigate the most relevant aspects connected to advanced information and communication technologies and their impact on daily life of residents in assisted living conditions.ClinicalTrials.gov: NCT02130102.

SUBMITTER: Siegel C

PROVIDER: S-EPMC4223693 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

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Project description:IntroductionFor the first time in human history, the number of older people will be higher than the number of children. The prevalence of chronic diseases, such as hypertension, cardiovascular disease, diabetes and mental disorders in older adults is high. Given that, it is essential to make usage of related technology to provide improved health conditions and reduce the costs for promoting ageing in place, and that is precisely the aim of Ambient Assisted Living technology. Considering that these systems provide significant benefit to a vast number of stakeholders, can be applied to the functional diversity of application domains and have high economic and social impacts, it is essential to create reusable and interoperable platforms and standards that are able to deal with the heterogeneity of applications and domains. In this sense, reference architectures have been proposed and evaluated. A comprehensive scoping review concerning the reference architectures must clarify specific aspects, such as what the main domains are and how the solutions effectively deal with them.MethodsThis scoping review will follow the methodology framework defined in 'Scoping studies: advancing the methodology'. In this methodological framework, six stages are proposed for scoping review studies: identifying the research question; identifying relevant studies; study selection; charting the data; collating, summarising and reporting the results; and consultation. The research questions aim to investigate what are the motivations, stakeholders, benefits, domains, approaches, architectural components and governance aspects of the proposed reference architectures and models. The team will focus on the Scopus Document Search, PubMed (MEDLINE), IEEE Xplore Digital Library, ACM Digital Library and Science Direct electronic research databases. The search query is a combination of terms related to Ambient Assisted Living AND Reference Architecture.Ethics and disseminationThis is a scoping review study and there is no requirement for ethical approval, as primary data will not be collected. The results from this scoping review will be published in a peer-reviewed journal and reported at scientific meetings. We intend to share the results with the International Standards and Conformity Assessment - SyC AAL from Canada to use the review as a basis for establishing an assessment model of reference architectures.

Project description:BackgroundUsing Ambient Assisted Living sensors to detect acute stress could help people mitigate the harmful effects of everyday stressful situations. This would help both the healthy and those affected more by sudden stressors, e.g., people with diabetes or heart conditions. The study aimed to develop a method for providing reliable stress detection based on heart rate variability features extracted from portable devices.MethodsFeatures extracted from portable electrocardiogram sensor recordings were used for training various classification algorithms for stress detection purposes. Data were recorded in a clinical trial with 7 participants and two stressors, the Trier Social Stress Test and the Stroop colour word test, both validated by standardised questionnaires. Different heart rate variability feature sets (all, time-domain and non-linear only, frequency-domain only) were tested to investigate how classification performance is affected, in addition to various time window length setups and participant-wise training sessions. The accuracy and F1 score of the trained models were compared and analysed.ResultsThe best results were achieved with models using time-domain and non-linear heart rate variability features with 5-min-long overlapping time windows, yielding 96.31% accuracy and 96.26% F1 score. Shorter overlapping windows had slightly lower performance, with 91.62-94.55% accuracy and 91.77-94.55% F1 score ranges. Non-overlapping window configurations were less effective, with both accuracy and F1 score below 88%. For participant-wise learning, average F1 scores of 99.47%, 98.93% and 96.1% were achieved for feature sets using all, time-domain and non-linear, and frequency-domain features, respectively.ConclusionThe tested stress detector models based on heart rate variability data recorded by a single electrocardiogram sensor performed just as well as those published in the literature working with multiple sensors, or even better. This suggests that once portable devices such as smartwatches provide reliable hear rate variability recordings, efficient stress detection can be achieved without the need for additional physiological measurements.

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Evaluation of a modular scalable system for silver-ager located in assisted living homes in Austria--study protocol of the ModuLAAr ambient assisted living project.

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