Abstract
During surgery associated with rapid blood loss, rapid fluid administration and transfusion of packed red blood cells, measurement of total hemoglobin concentration provides necessary information to direct decisions regarding transfusion. However, measurement of total hemoglobin concentration currently requires collection of a blood sample and either transport to a laboratory or centrifugation at the bedside. Recently we proposed to use optoacoustic technique for noninvasive and continuous monitoring of total hemoglobin concentration. High resolution of the optoacoustic technique may provide accurate measurement of total hemoglobin concentration by detecting and analyzing optoacoustic signals induced by short optical pulses in blood circulating in arteries or veins. We designed, built, and tested in vitro and in preliminary in vivo experiments a portable optoacoustic system for monitoring of total hemoglobin concentration in the radial artery. The system includes a nanosecond laser operating in the near-IR spectral range and a sensitive optoacoustic probe designed for irradiating the radial artery through the skin and detecting optoacoustic signals induced in blood. Results of our studies indicate that parameters of optoacoustic waves induced in blood are dependent on total hemoglobin concentration. The data suggest that the optoacoustic system may be used for accurate, noninvasive, and continuous monitoring of total hemoglobin concentration.
Original language | English (US) |
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Pages (from-to) | 2289-2290 |
Number of pages | 2 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 3 |
State | Published - 2002 |
Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: Oct 23 2002 → Oct 26 2002 |
Keywords
- Hemoglobin
- Noninvasive monitoring
- Optics
- Tissue
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics