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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 ...
E.S. Manolakos +2 more
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The primary objective of this monograph is to provide a comprehensive exploration of biomedical signal processing, structured to introduce fundamental concepts, explore advanced techniques, and discuss clinical applications. It aims to equip readers with a solid understanding of core signal processing principles, offering practical methods for ...
Prasant P +3 more
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Prasant P +3 more
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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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Hands-on learning in biomedical signal processing
IEEE Engineering in Medicine and Biology Magazine, 2003For 20 years, the Harvard-MIT Division of Health Sciences and Technology (HST) has offered a graduate-level course on Biomedical Signal and Image Processing (HST582J). This course takes a practical, hands-on approach to learning about signal processing and physiological signals through the application of digital signal processing methods to biomedical ...
Julie E, Greenberg +2 more
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SoC-based architecture for biomedical signal processing
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015Over the last decades, many algorithms have been proposed for processing biomedical signals. Most of these algorithms have been focused on the elimination of noise and artifacts existing in these signals, so they can be used for automatic monitoring and/or diagnosis applications.
R, Gutiérrez-Rivas +3 more
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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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Photoplethysmography-Based Biomedical Signal Processing
2019In this dissertation, photoplethysmography-based biomedical signal processing methods are developed and analyzed. The developed methods solve problems concerning the estimation of the heart rate during physical activity and the monitoring of cardiovascular health. For the estimation of heart rate during physical activity, two methods are presented that
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