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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zaman, T. Kyriacou, P.A. Pal, S.K. |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Engineering and Mathematical Sciences, City University, London, UK (Zaman, T.; Kyriacou, P.A.) || St Andrews Plastic and Burns Unit, Broomfield Hospital, UK (Pal, S.K.) |
| Abstract | Monitoring of free flap perfusion and early identification of flap failure is an indispensable prerequisite for flap salvage. Although many methods of free flap monitoring are available, there is still no single reliable continuous non-invasive perfusion monitoring technique which will also assist in the early recognition of flap failure. In order to overcome the current technological limitations, we have developed a multi-wavelength photoplethysmographic (PPG) sensor and processing system to systematically investigate the perfusion mechanism in flaps used in reconstructive plastic microsurgery. The new prototype reflectance photoplethysmographic sensor was evaluated on three anaesthetized patients undergoing elective breast reconstructive (Deep Inferior Epigastric Perforator Flap) surgery. PPG signals were successfully obtained pre-operatively, intra-operatively and post-operatively. These preliminary results suggest that a PPG sensor may be a suitable method for evaluating the perfusion of free flap. |
| Starting Page | 4006 |
| Ending Page | 4009 |
| File Size | 733076 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6090995 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Monitoring Surgery Light emitting diodes Clamps Reflectivity Plastics Breast |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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