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Array Signal Processing for Accurate Medical Ultrasound Measurements

Array Signal Processing for Accurate Medical Ultrasound Measurements
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Medical Signal Processing

2021
This chapter introduces sleep, the pattern of sleep, wakefulness, disorders associated with sleep, diseases of heart and lungs that can be identified by analysing one's sleep. Sleep is generally equated to the neurological system and the brain. It is believed that sleep can be identified only with EEG.
Vidhya S., Sharmila Nageswaran
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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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