Bayen U.J.,Heinrich Heine University Dusseldorf |
Dogangun A.,Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme |
Grundgeiger T.,Heinrich Heine University Dusseldorf |
Haese A.,Heinrich Heine University Dusseldorf |
And 2 more authors.
Gerontology | Year: 2013
Background: The ability to remember future intentions is compromised in both healthy and cognitively impaired older adults. Assistive technology provides older adults with promising solutions to cope with this age-related problem. However, the effectiveness and efficiency of such systems as memory aids is seldom evaluated in controlled, randomized trials. Objectives: We evaluated the effectiveness of a memory aid system, the InBad (engl. InBath), for bathroom-related daily care. Conceptually, the InBad learns user behavior patterns and detects deviations from the learned pattern in order to notify the user of a forgotten task. Methods: We simulated a challenging morning routine consisting of 22 bathroom activities with a sample of 60 healthy older adults. Participants were randomly assigned to three groups: (1) 'no memory support', i.e. participants received no support at all, (2) 'list support', i.e. participants could retrieve a list of all activities, and (3) 'system support', i.e. participants received prompts for specific activities that had not yet been executed. Results: Both support groups executed significantly more activities compared to the 'no support' group. In addition, system support resulted in significantly better performance compared to list support with no significant differences between the two groups in overall task duration. Conclusion: The assistive support system was the most effective and efficient memory aid. The results suggest that assistive technology has the potential to enable older adults to remain safe and independent in their own home. Copyright © 2012 S. Karger AG, Basel.
Burmester K.,Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme |
Goehlich A.,Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme |
Celik Y.,Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme |
Manova R.K.,Wageningen University |
And 9 more authors.
Biomedical Engineering | Year: 2014
In this contribution we report on results of a micromechanical sensor intended for the detection of allergens and biomarkers, which has been developed within the framework of the Euregio funded project “UniHealth”. This project aims at the development of a cost effective label free biosensor system that is intended for point of care applications concerning the detection of large range of allergens e.g. the papain enzyme, gluten and peanuts and the detection of biomarkers e.g. cholera toxine B on GM1 saccharide. The typical mass of allergens and biomarkers is in the range of 20 kDa and 80 kDa. For the label free detection of allergens and biomarkers a mass sensor with micro and nanostructures is a promising detection principle. In this work we report on electrical measurements of membrane structures that have been realized with CMOS compatible pressure sensor technology. The adopted sensor principle relies on electrostatically driven resonating micromechanical membrane structures with a functionalized surface that allows the selective binding of allergens and biomarkers, as shown in Figure 1. The analyte binding causes an increase of the effective mass of the membrane and therefore induces a decrease of the mechanical resonance frequency. The performed measurements of the electrical spectra show nonlinear behaviour, which is explained by a nonlinear oscillator model. As shown in Figure 2, the calculation of the derivation of a sharp transition has the advantage of a sharp peak, i.e. high frequency resolution, where the position of the peak can be easily determined. The sensor element consists essentially of a free standing membrane, which is electrostatically actuated to an oscillation with a resonance frequency of about 4 MHz and a mass sensitivity in the picogram range. We report on experiments with streptavidin on biotin as it is shown in Figure 3, with cholera toxin subunit B biomarkers onto GM1 functionalized sensors with a diameter of 60 μm. © 2014 by Walter de Gruyter • Berlin • Boston.