Open Access. Powered by Scholars. Published by Universities.®
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons™
Open Access. Powered by Scholars. Published by Universities.®
University of Nebraska - Lincoln
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
- Discipline
-
- Biomedical (2)
- Computer Engineering (2)
- Biomedical Devices and Instrumentation (1)
- Biomedical Engineering and Bioengineering (1)
- Broadcast and Video Studies (1)
-
- Cardiovascular Diseases (1)
- Communication (1)
- Computational Engineering (1)
- Controls and Control Theory (1)
- Diagnosis (1)
- Diseases (1)
- Equipment and Supplies (1)
- Industrial Engineering (1)
- Medical Specialties (1)
- Operations Research, Systems Engineering and Industrial Engineering (1)
- Other Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)
- Other Computer Engineering (1)
- Other Electrical and Computer Engineering (1)
- Risk Analysis (1)
- Social and Behavioral Sciences (1)
- Surgery (1)
- Surgical Procedures, Operative (1)
- Keyword
Articles 1 - 3 of 3
Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment
An Investigation Of Match For Lossless Video Compression, Brittany Sullivan-Reicks
An Investigation Of Match For Lossless Video Compression, Brittany Sullivan-Reicks
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
A new lossless video compression technique, Match, is investigated. Match uses the similarity between the frames of a video or the slices of medical images to find a prediction for the current pixel. A portion of the previous frame is searched to find a matching context, which is the pixels surrounding the current pixel, within some distance centered on the current location. The best distance to use for each dataset is found experimentally. The matching context refers to the neighborhood of w, nw, n, and ne, where the pixel in the previous frame with the closest matching context becomes the …
Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, Yanlin Zhou
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
In this thesis, we develop a framework for E-health Cyber Ecosystems, and look into different involved actors. The three interested parties in the ecosystem including patients, doctors, and healthcare providers are discussed in 3 different phases. In Phase 1, machine-learning based modeling and simulation analysis is performed to remotely predict a patient's risk level of having heart diseases in real time. In Phase 2, an online dynamic queueing model is devised to pair doctors with patients having high risk levels (diagnosed in Phase 1) to confirm the risk, and provide help. In Phase 3, a decision making paradigm is proposed …
Towards Highly-Integrated Stereovideoscopy For In Vivo Surgical Robots, Jay Carlson
Towards Highly-Integrated Stereovideoscopy For In Vivo Surgical Robots, Jay Carlson
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
When compared to traditional surgery, laparoscopic procedures result in better patient outcomes: shorter recovery, reduced post-operative pain, and less trauma to incisioned tissue. Unfortunately, laparoscopic procedures require specialized training for surgeons, as these minimally-invasive procedures provide an operating environment that has limited dexterity and limited vision. Advanced surgical robotics platforms can make minimally-invasive techniques safer and easier for the surgeon to complete successfully. The most common type of surgical robotics platforms -- the laparoscopic robots -- accomplish this with multi-degree-of-freedom manipulators that are capable of a diversified set of movements when compared to traditional laparoscopic instruments. Also, these laparoscopic robots …