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Wireless wearable self-calibrated sensor for perfusion assessment of myocutaneous tissue

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Title: Wireless wearable self-calibrated sensor for perfusion assessment of myocutaneous tissue
Authors: Berthelot, M
Chen, C-M
Yang, G-Z
Lo, B
Item Type: Conference Paper
Abstract: Abstract: Blood flow and perfusion monitoring are critical appraisal to ensure survival of tissue flap after reconstructive surgery. Many techniques have been developed over the years: from optical to chemical, invasive or not, they all have limitations in their price, risks and adaptiveness to the patient. A wireless wearable self-calibrated device, based on near infrared spectroscopy (NIRS) was developed for blood flow and perfusion monitoring contingent on tissue oxygen saturation (StO2). The use of such device is particularly relevant in the case of free flap myocutaneous reconstructive surgery; postoperative monitoring of the flap is crucial for a prompt intervention in case of thrombosis. Although failure rate is low, the rate of additional surgery following anastomosis problem is about 50%. NIRS has shown promising results for the monitoring of free flap, however lack of adaptation to its environment (ambient light) and users (body mass index (BMI), skin tone, alcohol and smoking habits or physical activity level) hinders the practical use of this technique. To overcome those limitations, a self-calibrated approach is introduced. Tested with is chaemia and cold water experiments on healthy subjects of different skin tones, its ability to personalize its calibration is demonstrated. Furthermore, using a vascular phantom, it is also able to detect pulses, differentiate venous and arterial coloured-like fluids with distinct clusters and detect significant changes in simulated partial venous occlusion. Placed in the trained classifier, partial occlusion data showed similar results between predicted and true classification. Further analysis from partial occlusion data showed that distinct clusters for 75% and 100% occlusion emerged.
Issue Date: 21-Jul-2016
Date of Acceptance: 14-Jun-2016
URI: http://hdl.handle.net/10044/1/48154
DOI: http://dx.doi.org/10.1109/BSN.2016.7516254
ISSN: 2376-8886
Publisher: IEEE
Start Page: 171
End Page: 176
Journal / Book Title: 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/H009744/1
RDB04 79560
RD207
EP/L014149/1
Conference Name: 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Keywords: Science & Technology
Technology
Physical Sciences
Engineering, Electrical & Electronic
Optics
Engineering
FLAP MODEL
Publication Status: Published
Start Date: 2016-06-14
Finish Date: 2016-06-17
Conference Place: San Francisco, CA
Appears in Collections:Department of Surgery and Cancer
Computing
Faculty of Engineering