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Echo Signal Processing in Medical Ultrasound
1992When the resolution cell holds a few scatterers, the envelope and the power spectral density (p.s.d.) of the backscattered radiofrequency (r.f.) signal give useful informations on the reflecting properties of the scatterers and their architecture. Indeed, in such situations, the signal to noise ratio of the image intensity deviates from the Rayleigh ...
Landini L +5 more
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Signal Processing Models In Medical Ultrasound
SPIE Proceedings, 1987This paper addresses some of the fundamental issues involved in the development of mathematical models for the generation of ultrasound pulse-echo data in the human body. These models provide a rational basis for the development of algorithms used for medical diagnosis.
C. W. Barnes, E. J. Pisa, O. Ishrak
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Signal processing and medical signal processing: the teaching differences
Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286), 2002Courses like biomedical signal processing that fail to meet minimum enrolment levels are often not financially viable. To solve this problem, Monash University has combined similar subjects, like signal processing and biomedical signal processing, from the same and different levels of different courses, together.
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Neural detectors for medical signal processing
Proceedings of the First Regional Conference, IEEE Engineering in Medicine and Biology Society and 14th Conference of the Biomedical Engineering Society of India. An International Meet, 2002The detection of random signals using neural networks is studied. In comparison with some classical techniques, neural networks provide better performance for the cases studied. The neural network based detector (neural detector) is a backpropagation neural network with 3 layers which are typically referred to as the input, the hidden and the output ...
N. Muthuswamy, R.S. Blum
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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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Applications to Medical Signal Processing
2013Heart and lung sounds are of essential importance in medical diagnosis of patients with lung or heart diseases. To obtain reliable diagnosis and detection, it is critically important that cardiac and respiratory auscultation obtain sounds of high clarity. However, heart and lung sounds interfere with each other in auscultation, corrupting sound quality
Qi He, Le Yi Wang, G. George Yin
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Hardvare Design for Processing Medical Signals
2006 International Conference - Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006This article suggests some ideas of a hardware design for processing medical monitors. As example it will be ECG monitor. Its configuration is envisaged for use with a personal computer (PC). The article demonstrates that significant improvements can be achieved with simple hardware combined with attention to software.
Valeriy Semenets, Oleg Kruk
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A scalable embedded system for massive medical signal processing
2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS), 2014Embedded Systems based on FPGA have been adopted as a solution to energy hungry data centers that have to meet real time requirement of massive data processing applications. Classic memory centric design approach was usually favored since most of designers were trained to rely on memory for calculation.
Chaojun Wang +5 more
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EOG signal processing module for medical assistive systems
2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2016Electrooculography (EOG) is one of the occulography methods used for the estimation of eye orientation. These signals, generated by eye movements, can be used in an efficient way as input in different control systems. So, the signal processing of the EOG signal is a key point when performing complex tasks, for instance, in a Human-Machine Interface ...
Alberto López +4 more
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The Impact of VLSI on Medical Signal Processing
1982Publisher Summary This chapter describes those aspects of health care delivery that deal with the analysis of various biological signals that are crucial and germane for medical diagnosis. The problem of signal analysis and recognition of patterns is an integral part of the work of the clinician in making diagnoses.
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