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The main objective of the project is to develop a non-invasive system, based on digital 3D-accelerometers to detect changes in cardiac function, called ballistocardiography (BCG) or seismocardiography. To reach this main goal we determined three first challenges. The first one, identify suitable sensor hardware and HW-conditions plus needed specification for a fundamental use. With the second challenge,...
Patients suffering from end-stage knee osteoarthritis are often treated with total knee arthroplasty, improving their functional mobility. A number of patients, however, report continued difficulty with stair ascent and descent or sportive activity after surgery and are not completely satisfied with the outcome. State-of-the-art analyses to evaluate the outcome and mobility after knee replacement...
Supervised physical training has been shown to promote rehabilitation of patients affected by chronic obstructive pulmonary disease (COPD). Currently, due to limited resources, not all COPD patients can be trained by an expert supervisor. The objective of our research is to construct a clinical decision support system (DSS) which observes and controls physical ergometer training sessions of COPD patients...
In healthcare acceleration sensors have various applications in monitoring movements for prevention, diagnostics, therapy and rehabilitation. Unfortunately they react sensitive against changes of environmental conditions and therefore it is necessary to calibrate them from time to time. This paper introduces a technique for automatic self-calibration of body worn triaxial-accelerometers that do neither...
Monitoring elderly or disabled people in smart home environments is a major area of research because it allows for controlling chronic diseases and promises cost reduction. Context recognition and in particular activity recognition is of key importance as it facilitates the interpretation of data from medical monitoring devices. In our study with five elderly or disabled people we used data from multi-sensor...
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