Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme

Duisburg, Germany

Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme

Duisburg, Germany
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Muckensturm K.-M.,Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme | Weiler D.,Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme | Hochschulz F.,Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme | Busch C.,Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme | And 6 more authors.
Technisches Messen | Year: 2017

A novel structure for realization of thermal isolation and electrical contacting of microbolometers is described in this paper. This structure is formed by thin coated hollow tubes (termed as nanotubes in this work), which can be fabricated by processes of microsystems technology. Therefore, commonly used lateral legs asmain component of thermal isolation can be excluded in order that the effective absorption area is maximized. The resulting thermal conductance can be tuned independently from the pixel size by varying layer thicknesses, base radius and length of the structured nanotubes. The fabricated 12 mpixel size nanotube microbolometers are characterizedwith respect to electrical-optical andmechanical properties by means of test structures.

Bayen U.J.,Heinrich Heine University Düsseldorf | Dogangun A.,Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme | Grundgeiger T.,Heinrich Heine University Düsseldorf | Haese A.,Heinrich Heine University Düsseldorf | 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.

PubMed | Fraunhofer Institute For Mikroelektronische Schaltungen Und Systeme and RWTH Aachen
Type: Journal Article | Journal: Klinische Monatsblatter fur Augenheilkunde | Year: 2016

In blinded patients, visual prostheses can restore visual perception by appropriate electrical stimulation of retinal nerve cells. This article presents the basic technological principles of retinal prostheses, using an epiretinal implantable visual prosthesis as example. An implantable visual prosthesis typically consists of extraocular and intraocular sections. The extraocular section is responsible for detecting the image. The information is derived from this image that is needed for appropriate electrical stimulation of the retinal nerve cells. Together with the necessary energy, these data are transmitted through a magnetic connection to the intraocular section. To ensure reliable transmission, the data are encoded. After transmission, energy and data are separated in the intraocular section, and the data are decoded. In accordance with the transmitted information, biphasic pulses of defined intensity and duration are produced on the simulation electrodes. In this way, ganglia cells are electrically stimulated and react with action potentials, which are transmitted to the visual cortex, where they lead to visual perception.

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