Sökning: "visual data analysis"
Visar resultat 11 - 15 av 293 avhandlingar innehållade orden visual data analysis.
11. Mobile systems for monitoring Parkinson's disease
Sammanfattning : A challenge for the clinical management of Parkinson's disease (PD) is the large within- and between-patient variability in symptom profiles as well as the emergence of motor complications which represent a significant source of disability in patients. This thesis deals with the development and evaluation of methods and systems for supporting the management of PD by using repeated measures, consisting of subjective assessments of symptoms and objective assessments of motor function through fine motor tests (spirography and tapping), collected by means of a telemetry touch screen device. LÄS MER
12. Computer methods for voice analysis
Sammanfattning : This thesis consists of five articles and a summary. Thethesis deals with methods for measuring properties of thevoice. The methods are all computer-based, but utilisedifferent approaches for measuring different aspects of thevoice. Paper I introduces the Visual Sort and Rate (VSR) method forperceptual rating of voice quality. LÄS MER
13. Digital Image Analysis of Cells : Applications in 2D, 3D and Time
Sammanfattning : Light microscopes are essential research tools in biology and medicine. Cell and tissue staining methods have improved immensely over the years and microscopes are now equipped with digital image acquisition capabilities. The image data produced require development of specialized analysis methods. LÄS MER
14. Image analysis and interactive visualization techniques for electron microscopy tomograms
Sammanfattning : Images are an important data source in modern science and engineering. A continued challenge is to perform measurements on and extract useful information from the image data, i.e., to perform image analysis. LÄS MER
15. Visual Analysis of Multidimensional Data for Biomechanics and HCI
Sammanfattning : Multidimensional analysis is performed in many scientific fields.Its main tasks involve the identification of correlations between data dimensions,the investigation of data clusters, and the identification of outliers. Visualization techniques often help in getting a better understanding. LÄS MER