Ornelas Kobayashi, Rafael Emmanuel (2018) Development of a new algorithm to extend the use of the Handscan for the early diagnosis of Raynaud’s phenomenon. Master's Internship Report, Biomedical Engineering.
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Abstract
Raynaud’s Phenomenon (RP) is characterized by episodes of vasospasm, deoxygenation and further reperfusion. Primary RP (PRP) is consider benign and involves only functional affections, whereas Secondary RP (SRP) involves structural changes in microcirculation and has been identified as an early sign of Systemic scleroris (SSc). Hence, its early diagnosis is relevant for the prevention, diagnosis and treatment of SSc. Currently, SRP is diagnosed trough the combination of Thermography and Capillaroscopy. We hypothesized that the Handscan, a device based on the transmission of light through blood-related structures, which has only been validated for the assessment of Rheumatoid Arthritis, can be modified to perform as an alternative to both techniques, resulting in a single device capable of diagnosing PRP and SRP with just a single measurement. For such objective, a new Matlab algorithm was developed to enable analysis of the amount of blood flowing through Distal phalanx (DIP), Proximal phalanx (PIP) and metacarpal phalanx (MCP) of each four fingers (excluding thumb) of the hands. To determine under which conditions the device showed higher sensitivity detecting differences among already diagnosed patients, 3 groups (n=3 per group) were assembled: Control group (CG), PRP group (PRG) and SRP group (SRG). Each group was measured twice (once with hands facing down, once facing up) under 3 proposed experimental setups: 1) normal conditions. 2) After a cold challenge of 15°C during 60s. 3) Using an external cuff to occlude arterial flow. Preliminary results presented here show that each group exhibits a characteristic behaviour under different setups, placing the first ground-stone for further research on RP diagnosis.
| Item Type: | Thesis (Master's Internship Report) |
|---|---|
| Supervisor name: | Verkerke, G.J. |
| Degree programme: | Biomedical Engineering |
| Thesis type: | Master's Internship Report |
| Language: | English |
| Date Deposited: | 01 Aug 2018 |
| Last Modified: | 01 Aug 2018 12:10 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/18185 |
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