Refine
Year of publication
- 2018 (64) (remove)
Document Type
- Conference Proceeding (64) (remove)
Language
- English (64) (remove)
Keywords
- Agenda 2030 (1)
- Anisotropic hyperelasticity (1)
- Automotive Industry (1)
- Bernstein polynomial (2)
- Bio-vital data (1)
- Cauchon algorithm (2)
- Checkerboard ordering (1)
- Checkerboard partial ordering (1)
- Cloud (1)
- Collaboration (1)
Institute
- Fakultät Bauingenieurwesen (1)
- Fakultät Informatik (12)
- Fakultät Maschinenbau (2)
- Fakultät Wirtschafts-, Kultur- und Rechtswissenschaften (2)
- Institut für Angewandte Forschung - IAF (3)
- Institut für Optische Systeme - IOS (9)
- Institut für Strategische Innovation und Technologiemanagement - IST (3)
- Institut für Systemdynamik - ISD (5)
- Konstanz Institut für Corporate Governance - KICG (1)
- Konstanzer Institut für Prozesssteuerung - KIPS (2)
We consider the problem of increasing the informative value of electrocardiographic (ECG) surveys using data from multichannel electrocardiographic leads, that include both recorded electrocardiosignals and the coordinates of the electrodes placed on the surface of the human torso. In this area, we were interested in reconstruction of the surface distribution of the equivalent sources during the cardiac cycle at relatively low hardware cost. In our work, we propose to reconstruct the equivalent electrical sources by numerical methods, based on integral connection between the density of electrical sources and potential in a conductive medium. We consider maps of distributions of equivalent electric sources on the heart surface (HSSM), presenting source distributions in the form of a simple or double electrical layer. We indicate the dynamics of the heart electrical activity by the space-time mapping of equivalent electrical sources in HSSM.
Sleep study can be used for detection of sleep quality and in general bed behaviors. These results can helpful for regulating sleep and recognizing different sleeping disorders of human. In comparison to the leading standard measuring system, which is Polysomnography (PSG), the system proposed in this work is a non-invasive sleep monitoring device. For continuous analysis or home use, the PSG or wearable Actigraphy devices tends to be uncomfortable. Besides, these methods not only decrease practicality due to the process of having to put them on, but they are also very expensive. The system proposed in this paper classifies respiration and body movement with only one type of sensor and also in a noninvasive way. The sensor used is a pressure sensor. This sensor is low cost and can be used for commercial proposes. The system was tested by carrying out an experiment that recorded the sleep process of a subject. These recordings showed excellent results in the classification of breathing rate and body movements.
Investigation of magnetic effects on austenitic stainless steels after low temperature carburization
(2018)
Long-term sleep monitoring can be done primarily in the home environment. Good patient acceptance requires low user and installation barriers. The selection of parameters in this approach is significantly limited compared to a PSG session. The aim is a qualified selection of parameters, which on the one hand allow a sufficiently good classification of sleep phases and on the other hand can be detected by non-invasive methods.