Difference between revisions of "Optical Fibre Sensing for Healthcare"
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| − | '''PhD Student: Nadia Afroze''' | + | ==='''PhD Student: Nadia Afroze'''=== |
'''PhD Supervisors:''' | '''PhD Supervisors:''' | ||
| − | '''Prof Stephen Morgan | + | '''Prof Stephen Morgan''' |
Professor of Biomedical Engineering, Faculty of Engineering | Professor of Biomedical Engineering, Faculty of Engineering | ||
| − | Prof Barrie Hayes-Gill | + | '''Prof Barrie Hayes-Gill''' |
Professor of Electronic Systems and Medical Devices, Faculty of Engineering | Professor of Electronic Systems and Medical Devices, Faculty of Engineering | ||
| − | Dr Sergiy Korposh | + | '''Dr Sergiy Korposh''' |
Associate Professor in Electronics, Nanoscale Bioelectronics and Biophotonics, Faculty of Engineering | Associate Professor in Electronics, Nanoscale Bioelectronics and Biophotonics, Faculty of Engineering | ||
| − | Dr Ricardo Goncalves Correia | + | '''Dr Ricardo Goncalves Correia''' |
| − | Assistant Professor in Optical and Bioelectric Engineering, Faculty of Engineering | + | Assistant Professor in Optical and Bioelectric Engineering, Faculty of Engineering |
| − | '''Internal Assessor: | + | '''Internal Assessor:''' |
| − | Dr Amanda Wright | + | '''Dr Amanda Wright''' |
| − | Associate Professor, Faculty of Engineering | + | Associate Professor, Faculty of Engineering |
| − | '''Collaborators: | + | '''Collaborators:''' |
| − | Dr Peter Worsley | + | '''Dr Peter Worsley''' |
| − | |||
| − | |||
| + | Lecturer in Health Sciences, University of Southampton | ||
==='''Aims of the project'''=== | ==='''Aims of the project'''=== | ||
Revision as of 10:19, 22 July 2019
Contents
PhD Student: Nadia Afroze
PhD Supervisors:
Prof Stephen Morgan
Professor of Biomedical Engineering, Faculty of Engineering
Prof Barrie Hayes-Gill
Professor of Electronic Systems and Medical Devices, Faculty of Engineering
Dr Sergiy Korposh
Associate Professor in Electronics, Nanoscale Bioelectronics and Biophotonics, Faculty of Engineering
Dr Ricardo Goncalves Correia
Assistant Professor in Optical and Bioelectric Engineering, Faculty of Engineering
Internal Assessor:
Dr Amanda Wright
Associate Professor, Faculty of Engineering
Collaborators:
Dr Peter Worsley
Lecturer in Health Sciences, University of Southampton
Aims of the project
• Develop and fabricate optical fibre sensors to predict pressure ulcers
• Investigate biomarkers of tissue breakdown
Objectives of the project
• Fabricate an optical fibre CO2 sensor on the tip of the optical fibre and coated with 4 layers of film comprised of organically modified silica (Ormosil) doped with thymol blue and tetramethylammonium hydroxide
• Monitor CO2 emitted from human skin during loading using an optical fibre sensor
Research Achievements
A reflection mode optical fibre CO2 sensor is developed using sol-gel coating process. A single film is made by coating organically modified silica (Ormosil) doped with thymol blue and tetramethylammonium hydroxide onto the fibre tip. Light from a laser diode illuminates the fibre tip and the reflected light (proportional to CO2) is detected. This CO2 sensor is used to predict the presence of pressure ulcers (PUs) by measuring transcutaneous CO2 (TcPCO2) from human skin during loading. The step response of the CO2 sensor to different concentrations of CO2 is achieved using wavelength 590.67nm to 609.71nm. The repeatability and reverse response of CO2 sensor is monitored for CO2 concentration from 0ppm to 50000ppm (5%). The response time of the sensor is 60 seconds and the recovery time is 413 seconds. Although these results show CO2 measurement, the response is also affected by relative humidity (RH). The changes in reflection intensity for wavelength 604.06nm and wavelength shift for valley from wavelengths 580.34nm to 611.22nm are noticed for varying RH levels (60% RH - 90% RH). The sensitivity of the CO2 to humidity was calculated to be 0.0095nm/1% RH for step up response and 0.2127nm/1% RH for the step down response. An experiment was carried out to measuring TcPCO2 from human skin during loading by using an optical fibre CO2 sensor. The response of CO2 sensor rises with the increasing value of loading provided by the loading machine when the sensor is placed on skin with gas collection chamber. An increased value of PCO2 in tissue above normal values (about 5-6%) designates anaerobic metabolism and TCPCO2 becomes useful in this way as markers of tissue viability or status as a direct outcome of tissue ischemia.
