Results 141 to 150 of about 1,134,173 (194)

Signal Processing Models In Medical Ultrasound

SPIE Proceedings, 1987
This 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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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, 2002
The 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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Hardvare Design for Processing Medical Signals

2006 International Conference - Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006
This 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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Echo Signal Processing in Medical Ultrasound

1992
When 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, Santarelli M, Paterni M, Verrazzani L, Christ A, Hein H J   +5 more
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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), 2002
Courses 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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Applications to Medical Signal Processing

2013
Heart 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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Adaptive signal processing in medical ultrasound beamforming

IEEE Ultrasonics Symposium, 2005., 2006
For 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, 2007
There 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, 2002
Premature 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, 2001
The 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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