A5030870582- Context-Aware Activity Recognition Systems
- Balance, Gait, and Falls Prevention
- Healthcare Technology and Patient Monitoring
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Non-Invasive Vital Sign Monitoring
- Technology Use by Older Adults
- Biomedical Text Mining and Ontologies
- Electronic Health Records Systems
- Cerebral Palsy and Movement Disorders
- Health, Environment, Cognitive Aging
- Data Quality and Management
- Semantic Web and Ontologies
- Mobile Health and mHealth Applications
- Chronic Disease Management Strategies
- Gait Recognition and Analysis
- Clinical practice guidelines implementation
- Scientific Computing and Data Management
- Diabetic Foot Ulcer Assessment and Management
- Natural Language Processing Techniques
- Service-Oriented Architecture and Web Services
- Frailty in Older Adults
- Respiratory Support and Mechanisms
- Stroke Rehabilitation and Recovery
- Cardiomyopathy and Myosin Studies
- AI-based Problem Solving and Planning
Technische Universität Braunschweig
2009-2024
Medizinische Hochschule Hannover
2009-2024
Heidelberg University
2014-2020
University Hospital Heidelberg
2015-2019
Zimmer Biomet (Germany)
2016-2017
BQS Institut für Qualität und Patientensicherheit (Germany)
2015
Gesundheit Österreich
2015
Fraunhofer Project Centre Wolfsburg
2014
Charité - Universitätsmedizin Berlin
2013
Information Technology University
2008
Falls are a predominant problem in our aging society, often leading to severe somatic and psychological consequences, having an incidence of about 30% the group persons aged 65 years or above. In order identify at risk, many assessment tools tests have been developed, but most these be conducted supervised setting dependent on expert rater.The overall aim research work is develop objective unobtrusive method determine individual fall risk based use motion sensor data. The aims for this paper...
Fall events contribute significantly to mortality, morbidity and costs in our ageing population. In order identify persons at risk target preventive measures, many scores assessment tools have been developed. These often require expertise are costly implement. Recent research investigates the use of wearable inertial sensors provide objective data on motion features which can be used assess individual fall automatically. So far it is unknown how well this new method performs comparison with...
One of the major problems in development information and communication technologies for older adults is user acceptance. Here we describe results focus group discussions that were conducted with their relatives to guide assistive devices fall detection prevention. The aim was determine ergonomic functional requirements such include these a user-centered process. A semi-structured interview format based on an used conduct three 22 participants. average age 75 years first group, 68 second 50...
Accelerometers are frequently used for activity assessment and as reference devices counting steps. Their performance on healthy subjects' data is good, but there doubts to their applicability elderly mobility-impaired subjects. Furthermore, only few step detection algorithms have been published so far, has not evaluated a large, non-laboratory sample. The aim of this paper compare the four freely accessible accelerometry-based in setting. Two samples persons (n=140) mobility-impaired,...
Wearable sensor systems which allow for remote or self-monitoring of health-related parameters are regarded as one means to alleviate the consequences demographic change. This paper aims summarize current research in wearable sensors well sensor-enhanced health information systems. technologies already advanced terms their technical capabilities and frequently used cardio-vascular monitoring. Epidemiologic predictions suggest that neuropsychiatric diseases will have a growing impact on our...
Hospital in-patient falls constitute a prominent problem in terms of costs and consequences. Geriatric institutions are most often affected, common screening tools cannot predict consistently. Our objectives to derive comprehensible fall risk classification models from large data set geriatric in-patients' assessment evaluate their predictive performance (aim#1), identify high-risk subgroups the (aim#2).A n = 5,176 single episodes covering 1.5 years admissions hospital were extracted...
Falls are among the leading causes for morbidity, mortality and lasting functional disability in elderly population. Several studies have shown applicability of accelerometry to detect persons with a high fall risk. Most these been conducted under laboratory settings without clear definition 'fall risk' reference measures. The aim our work is provide simple unsupervised method assess risk as measured by clinical assessment scores. Our uses parameters computed spectral analysis on triaxial...
Falls have various causes and are often associated with mobility impairments. Preventive steps to avoid falls may be initiated, if an increasing fall risk could detected in time. The objective of this article is identify automated sensor-based method determine patients based on objectively measured gait parameters. One hundred fifty-one healthy subjects 90 at falling were during a Timed 'Up & Go' test single triaxial acceleration sensor worn waist belt. was assessed using the STRATIFY score....
Objective: Aim of this study was to make a fall prognosis in cohort older people with dementia short-term (2 month), mid-term (4 month) and long-term (8 intervals using accelerometry during the subjects' everyday life.Methods: The designed as longitudinal study. subjects were recruited from nursing home geriatric assessment tests conducted at baseline. Each subject underwent four visits measured each visit for one week. Gait episodes detected gait parameters extracted these episodes. These...
Gait analyses are an important tool to diagnose diseases or measure the rehabilitation process of patients. In this context, sensor-based systems, and especially accelerometers, gain in importance. They able improve objectiveness gait analyses. clinical settings, there is usually a supervisor who gives instructions patients, but can have influence on patients' gait. It expected that effect will be smaller field studies.Aim study was capture evaluate parameters measured by single...
Identification of the relevant factors for death can improve patient's individual risk assessment and decision making. A well-documented patient cohort (n = 892) in a renal transplant program with protocol biopsies was used to establish multivariable models at 3 12 months posttransplantation by random survival forest analysis.Patients transplanted between 2000 2007 were observed up 11 years. Loss follow-up negligible 15). total 2251 1214 cause performed. All rejections clinical borderline...
In this article, the design of a system for ambient, unobtrusive and automatic monitoring Activities Daily Living (ADL) is described. context growing imbalance between (potentially young) caregivers (most often older) people receiving care, technical systems may help to organise care more efficiently identify degrading abilities very early trigger preventive measures. To improve acceptance described in selection process sensors be integrated into flat or worn by older has been steered...
Many societies across the world are confronted with demographic changes, usually related to increased life expectancy and, often, relatively low birth rates. Information and communication technologies (ICT) may contribute adequately support senior citizens in aging respect quality of efficiency health care processes. For investigating for providing answers on whether new information can keeping, or even improving life, self-sufficiency ageing through ways living forms care, Lower Saxony...
Worldwide, ageing societies are bringing challenges for independent living and healthcare. Health-enabling technologies pervasive healthcare sensor-enhanced health information systems offer new opportunities care. In order to identify, implement assess such communication (ICT) the 'Lower Saxony Research Network Design of Environments Ageing' (GAL) has been launched in 2008 as interdisciplinary research project. this publication, we inform about goals structure GAL, including first outcomes,...
To assess the change in inpatient radiotherapy related to COVID-19 lockdown measures during first wave of pandemic 2020.
Supervised physical training has been shown to promote rehabilitation of patients affected by chronic obstructive pulmonary disease (COPD). Currently, due limited resources, not all COPD can be trained an expert supervisor.The objective our research is construct a decision support system (DSS) which observes and controls ergometer sessions patients.A systematic literature review interviews were carried out build up the knowledge base for DSS.Nine production rules established standardized...