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At least 1,621 records · Page 90Linked to original sources
PubMed1978

The price of life.

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Biomedical Technology↗
PubMed2004

The scanning laser ophthalmoscope--a review of its role in bioscience and medicine.

The scanning laser ophthalmoscope (SLO) offers the potential for retinal imaging that is complementary both to that of the fundus camera and also the newly developing technique of optical coherence tomography (OCT). It has the ability to produce rapid images at low light levels using light of specific wavelengths. This permits temporal studies of fluorescent-labelled cells which offer a unique insight into inflammatory processes in the eye. The facility to image with several different wavelengths simultaneously offers the potential for spectral imaging of retinal tissue with the aim of revealing those early changes in tissue perfusion that indicate the onset of retinal disease, so increasing the probability of successful therapy.

Animals↗
PubMed2004

A new biomedical sensor for measuring PCO2.

Measuring PCO2 (partial pressure of carbon dioxide) in an organ can enable early detection of ischemia. However, there are few clinical applicable solutions for measuring PCO2. Based upon the requirement for clinical applications, a conductivity based PCO2 sensor is proposed. A conductivity based PCO2 sensor measures conductance in an aqueous solution separated from the measured object by a gas-permeable membrane. A bridge design with two cavities is favored for such a sensor. A planar and a cylindrical macro prototype based upon the bridge design were studied. The design criteria were based on the contribution from the electrode polarization, stray capacitances, contact area with the sample and design ability to miniaturize the sensor. The cylindrical sensor is favored because of its large contact area and advantages for miniaturization. Further investigation has to be done to confirm the functionality of such a design in a miniaturized form and its clinical performance.

Biomedical Technology↗
PubMed2005

Independent component analysis for biomedical signals.

Independent component analysis (ICA) is increasing in popularity in the field of biomedical signal processing. It is generally used when it is required to separate measured multi-channel biomedical signals into their constituent underlying components. The use of ICA has been facilitated in part by the free availability of toolboxes that implement popular flavours of the techniques. Fundamentally ICA in biomedicine involves the extraction and separation of statistically independent sources underlying multiple measurements of biomedical signals. Technical advances in algorithmic developments implementing ICA are reviewed along with new directions in the field. These advances are specifically summarized with applications to biomedical signals in mind. The basic assumptions that are made when applying ICA are discussed, along with their implications when applied particularly to biomedical signals. ICA as a specific embodiment of blind source separation (BSS) is also discussed, and as a consequence the criterion used for establishing independence between sources is reviewed and this leads to the introduction of ICA/BSS techniques based on time, frequency and joint time-frequency decomposition of the data. Finally, advanced implementations of ICA are illustrated as applied to neurophysiologic signals in the form of electro-magnetic brain signals data.

Biomedical Technology↗