Secure Linking of Patients and Tele-medical Sensors |
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| Abstract | The main task of this thesis is to identify if and how anomalies origin from a patient switch can be detected in medical data. By investigating various approaches and methods for pattern recognition a proof-of-concept model based on a heuristic approach is been analysed, designed and implemented. The hypothesis is that newly arrived data from a fitness watch with heart rate monitoring capabilities can be validated against an already trained pattern signature is tested.
A state-of-the-art survey in telemedicine is performed from a technical perspective, where a case study from Frederiksberg Hospital is included, to expose the challenges and advantages in telemedicine the health care system can benefi t from now and in the future. |
| Type | Master's thesis [Academic thesis] |
| Year | 2011 |
| Publisher | Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk |
| Address | Asmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark |
| Series | DTU Compute M.Sc.-2011 |
| Note | DTU supervisor: Christian D. Jensen, cdje@dtu.dk, DTU Compute |
| Electronic version(s) | [pdf] |
| Publication link | http://www.compute.dtu.dk/english |
| BibTeX data | [bibtex] |
| IMM Group(s) | Computer Science & Engineering |