Results 271 to 280 of about 554,094 (312)

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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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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A scalable embedded system for massive medical signal processing

2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS), 2014
Embedded 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, Yongxin Zhu 0001, Shengyan Zhou, Xiaoqi Gu, Jiang Jiang, Meikang Qiu   +5 more
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EOG signal processing module for medical assistive systems

2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2016
Electrooculography (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, Diego Fernández, Francisco Javier Ferrero Martín 0001, Marta Valledor, Octavian Postolache   +4 more
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Applications of neural networks to medical signal processing

Proceedings of the 27th IEEE Conference on Decision and Control, 2003
The 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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The Impact of VLSI on Medical Signal Processing

1982
Publisher 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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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 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 by means of immune algorithms

2013 E-Health and Bioengineering Conference (EHB), 2013
Medical 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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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 ...
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