about
Decision support for teletraining of COPD patientsA methodological framework for the analysis of highly intensive, multimodal and heterogeneous data in the context of health-enabling technologies and ambient-assisted living.Assessing elderly persons' fall risk using spectral analysis on accelerometric data--a clinical evaluation study.Predicting in-patient falls in a geriatric clinic: a clinical study combining assessment data and simple sensory gait measurements.Home care decision support using an Arden engine--merging smart home and vital signs data.Supporting rehabilitation training of COPD patients through multivariate sensor-based monitoring and autonomous control using a Bayesian network: prototype and results of a feasibility study.Sensors vs. experts - a performance comparison of sensor-based fall risk assessment vs. conventional assessment in a sample of geriatric patients.A nomenclature for the analysis of continuous sensor and other data in the context of health-enabling technologies.ARDEN2BYTECODE: a one-pass Arden Syntax compiler for service-oriented decision support systems based on the OSGi platform.Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups.A collaboration tool based on SNOCAP-HET.Information and communication technologies for promoting and sustaining quality of life, health and self-sufficiency in ageing societies--outcomes of the Lower Saxony Research Network Design of Environments for Ageing (GAL).Wearable sensors in healthcare and sensor-enhanced health information systems: all our tomorrows?Health-enabling technologies for pervasive health care: a pivotal field for future medical informatics research education?Sensor-based fall risk assessment - dagger of the mind?Design and implementation of the standards-based personal intelligent self-management system (PICS).Multimodal sensor-based fall detection within the domestic environment of elderly people.A prospective field study for sensor-based identification of fall risk in older people with dementia.Daily activities and fall risk--a follow-up study to identify relevant activities for sensor-based fall risk assessment.A clinical study to assess fall risk using a single waist accelerometer.Sensor-based fall risk assessment--an expert 'to go'.Measurement of accelerometry-based gait parameters in people with and without dementia in the field: a technical feasibility study.A performance comparison of accelerometry-based step detection algorithms on a large, non-laboratory sample of healthy and mobility-impaired persons.Feasibility study of a sensor-based autonomous load control exercise training system for COPD patients.Home-centered health-enabling technologies and regional health information systems. An integration approach based on international standards.Performance comparison of accelerometer calibration algorithms based on 3D-ellipsoid fitting methods.GAL@Home: a feasibility study of sensor-based in-home fall detection.Comparison and validation of capacitive accelerometers for health care applications.A method to align the coordinate system of accelerometers to the axes of a human body: The depitch algorithm.Defining the user requirements for wearable and optical fall prediction and fall detection devices for home use.The Lower Saxony research network design of environments for ageing: towards interdisciplinary research on information and communication technologies in ageing societiesMonitoring systems for the support of home careA home-centered ICT architecture for health-enabling technologiesDevelopment and clinical validation of an unobtrusive ambulatory knee function monitoring system with inertial 9DoF sensors
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P50
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hulumtues
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Matthias Gietzelt
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Matthias Gietzelt
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Matthias Gietzelt
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Matthias Gietzelt
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Matthias Gietzelt
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Matthias Gietzelt
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Matthias Gietzelt
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P106
P21
P214
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P2456
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P735
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