Results 241 to 250 of about 504,300 (287)
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Parallel processing for biomedical signal processing
Computer, 1991The authors describe how systematic mapping methodologies can be used to derive special-purpose processor arrays for the estimation of the bispectrum via the third-order moments. A novel design that is optimal in terms of total execution time for multiple pipelined data blocks is proposed, and it is shown how formal verification of the design can be ...
Elias S. Manolakos +2 more
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Recollections on the processing of biomedical signals
Proceedings of ACM conference on History of medical informatics -, 1987The processing of biomedical signals took many steps forward in the two decades that followed the introduction of digital computers to the field in the late 50s. Along with my colleagues at the Central Institute for the Deaf and at the Biomedical Computer Laboratory, I was privileged to participate in this exciting early period of biomedical computing.
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Wavelets for biomedical signal processing
Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136), 2002In this paper, we will discuss the general idea of the wavelet representation, in its continuous and discrete versions, as well as in terms of a multiresolution approximation. In addition, the general expression for the affine class, and the relationship between the affine and Cohen's classes are presented.
M. Akay, C. Mello
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Greedy KPCA in Biomedical Signal Processing
2007Biomedical signals are generally contaminated with artifacts and noise. In case artifacts dominate, the useful signal can easily be extracted with projective subspace techniques. Then, biomedical signals which often represent one dimensional time series, need to be transformed to multi-dimensional signal vectors for the latter techniques to be ...
Ana R. Teixeira +2 more
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Biomedical signal processing: present and future
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359), 2003Summary form only given, as follows. Biomedical signal processing is a rapidly expanding field with a wide range of applications. These range from the construction of artificial limbs and aids for the disabled to the development of sophisticated medical imaging systems that can operate in a non-invasive manner to give real time views of the workings of
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Watermarking in Biomedical Signal Processing
2016Recently, by means of technological innovation in communication networks and information, it has assisted healthcare experts across the world to seek high-quality diagnosis as well as to communicate each other as second opinions via enabling extensive and faster access to the patients’ electronic medical records, such as medical images.
Nilanjan Dey +6 more
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A Comparison of ICA Algorithms in Biomedical Signal Processing
2005In the last years Independent Component Analysis (ICA) has been applied with success in signal processing and many algorithms have been developed in order to perform ICA. In this paper we review some algorithms, like INFOMAX (Bell and Sejnowski 1995), extended-INFOMAX (Lee, Girolami and Sejniowski 1997), FastICA (OjA, and Hyvarinen 1999), that solve ...
AZZERBONI, Bruno +4 more
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An analogue approach for the processing of biomedical signals. [PDF]
, 2012 Constant device scaling has signifcantly boosted electronic systems design in the digital domain enabling incorporation of more functionality within small silicon area and at the same time allows high-speed computation. This trend has been exploited for developing high-performance miniaturised systems in a number of application areas like communication,
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Mathematics in Biomedical Signal Processing
2002Abstract Biomedical data are typically affected by large measurement errors, largely due to the non invasive nature of the measurement process or the severe constraints to keep the input signal as low as possible for safety and bio-ethical reasons.
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