Search for dissertations about: "thesis for computer monitoring system"

Showing result 1 - 5 of 190 swedish dissertations containing the words thesis for computer monitoring system.

2. 1. Mobile systems for monitoring Parkinson's disease

   Author : Mevludin Memedi; Mark Dougherty; Silvia Coradeschi; Peter Funk; Jerker Westin; Martin Gellerstedt; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automatic assessments; data visualization; data-driven modelling; home assessments; information technology; mobile computing; objective measures; Parkinson’s disease; quantitative assessments; remote monitoring; spirography; symptom severity; tapping tests; telemedicine; telemetry; time series analysis; web technology; Information technology; Informationsteknologi; Datavetenskap; Computer Science; PAULINA - Uppföljning av Parkinsonsymptom från hemmet;

   Abstract : 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. READ MORE

4. 2. Artificial Intelligence for Non-Contact-Based Driver Health Monitoring

   Author : Hamidur Rahman; Mobyen Uddin Ahmed; Shahina Begum; Peter Funk; Hasan Fleyeh; Mälardalens högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Driver Monitoring; Artificial Intelligence; Machine Learning; Deep Learning; Computer Science; datavetenskap;

   Abstract : In clinical situations, a patient’s physical state is often monitored by sensors attached to the patient, and medical staff are alerted if the patient’s status changes in an undesirable or life-threatening direction. However, in unsupervised situations, such as when driving a vehicle, connecting sensors to the driver is often troublesome and wired sensors may not produce sufficient quality due to factors such as movement and electrical disturbance. READ MORE

5. 3. Intelligent Driver Mental State Monitoring System Using Physiological Sensor Signals

   Author : Shaibal Barua; Peter Funk; Shahina Begum; Mobyen Uddin Ahmed; Christer Ahlström; Jose Peña; Mälardalens högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Artificial Intelligent; Intelligent systems; Physiological signal; Driver monitoring; Computer Science; datavetenskap;

   Abstract : Driving a vehicle involves a series of events, which are related to and evolve with the mental state (such as sleepiness, mental load, and stress) of the driv- er. These states are also identified as causal factors of critical situations that can lead to road accidents and vehicle crashes. READ MORE

6. 4. Monitoring for Securing Clock Synchronization

   Author : Elena Lisova; Mats Björkman; Panos Papadimitratos; Mälardalens högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computer Science; datavetenskap;

   Abstract : In today's society, more and more embedded computer systems are connecting. There are many different types of embedded systems including industrial networks, Internet of Things (IoT), distributed control systems, connected vehicles, etc. READ MORE

7. 5. Visual analytics for maritime anomaly detection

   Author : Maria Riveiro; Göran Falkman; Tom Ziemke; Dag Stranneby; Mikael Jern; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visual analytics; anomaly detection; maritime traffic monitoring; analytical reasoning; information fusion; TECHNOLOGY; TEKNIKVETENSKAP; Information technology; Informationsteknik; Computer science; Datavetenskap; Datalogi; Computer and Systems Science; Technology;

   Abstract : The surveillance of large sea areas typically involves  the analysis of huge quantities of heterogeneous data.  In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. READ MORE