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Adaptive signal processing in medical ultrasound beamforming
IEEE Ultrasonics Symposium, 2005., 2006For over thirty years adaptive beamforming (AB) algorithms have been applied in RADAR and SONAR signal processing. Higher resolution and contrast is attainable using those algorithms at the price of an increased computational load. In this paper we consider four beamformers (BFs): Frost BF, Duvall BF, SSB, and SPOC.
F. Viola, W.F. Walker
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Medical signal processing in the ICU
2007 IEEE 33rd Annual Northeast Bioengineering Conference, 2007There are currently many false alarms in the ICU. A medical monitoring system which has the ability to take into account signal data from multiple monitoring devices has the potential to decrease the number of false alarms experienced in the intensive care unit (ICU).
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Medical signal processing applications with Motorola's DSP56001
Proceedings of 36th Midwest Symposium on Circuits and Systems, 2002Premature infants in the Neonatal Intensive Care Unit respond to medications and treatments by altering the frequency patterns of their physiological processes. This alteration can be seen in impedance respiratory waveforms, ventilator sensed airway pressure waveforms, electroencephalograms and blood pressure waveforms.
M. El-Sharkawy, D. Sprague
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Medical signal processing using the software monitor
DERA/IEE Workshop Intelligent Sensor Processing, 2001The Software Monitor is a portable PC which is capable of processing and analysing in real time the vital physiological signals recorded non-invasively from healthy subjects or unwell hospital patients. Its main advantage is that it offers, in one intelligent monitor, the fusion of multiple sources of information.
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Medical Signal Processing Algorithms
This book is an introduction to the basic principles of discrete signal processing with applications in biomedicine. The goal of the book is not a presentation of all the processes and methods of signal processing, which are also present in dozens of academic books, but rather their deeper understanding through their implementation in an algorithmic ...openaire +1 more source
Medical signal processing by means of immune algorithms
2013 E-Health and Bioengineering Conference (EHB), 2013Medical signals are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease evolution. Medical imaging mainly treats and processes missing, ambiguous, complementary, redundant, contradictory, distorted data, and information has a strong structural character.
Hariton Costin, Silviu Ioan Bejinariu
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Some Signal Processing Aspects in Medical Ultrasound
1977Echo techniques are being used with a wide spectrum of applications to-day. Most applications are in the low frequency sound range. However, for diagnostic purposes pulses in the 1 to 10 MHz frequency range are being used. Obviously, important parameter differences exist when low frequency marine sonar is compared to medical ultrasound.
C. T. Lancée, N. Bom
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ELECTRONICS SIGNAL PROCESSING FOR MEDICAL IMAGING
2007This paper describes the way the signal coming from a radiation detector is conditioned and processed to produce images useful for medical applications. First of all, the small signal produce by the radiation is processed by analogue electronics specifically designed to produce a good signal-over-noise ratio.
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Applications of neural networks to medical signal processing
Proceedings of the 27th IEEE Conference on Decision and Control, 2003The authors describe two applications of NN (neural networks) that are intended to provide an illustration of some of the capabilities of NN-based medical signal processing. The first concerns the decomposition of surface (transcutaneous) EMG (electromyography) into its inaccessible motor unit action potentials (MUAP) for the purpose of determining the
D. Graupe, R.W. Liu, G.S. Moschytz
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