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Computers in physiological analysis and simulation

Clinical Pharmacology & Therapeutics, 1967
Physiological problems demand the capacity for handling analogue data as weil as for providing answers from calculations in “real‐time.” The biocomputation facility of the University of Utah has been designed for these problems. This system permits simultaneous usage from several remote stations.
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Computational Integrative Physiology: At the Convergence of the Life and Computational Sciences

Methods of Information in Medicine, 2003
Summary Objective: In this paper we outline how Computational Integrative Physiology (CIP) can help unravel the mechanisms of normal and pathological biological processes. Our objective is to illustrate how CIP is firmly grounded on the life and computational sciences. Method: After describing a general theoretical framework for CIP,
P, Siregar, N, Julen, J-P, Sinteff
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Neonatal physiological trend monitoring by computer

International journal of clinical monitoring and computing, 1992
A premature baby born up to four months early is a fragile patient dependent on intensive care. The body systems are physiologically immature and so tolerate stress badly. The tendency of these infants to rapidly deteriorate, has led us to use a cotside computer monitoring system which displays physiological trends.
S, Cunningham   +3 more
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The Use of Computers in Physiologic Diagnosis

IRE Transactions on Medical Electronics, 1960
The major activity of this laboratory is to establish mathematical models that approximately describe the various parts of the cardiovascular and pulmonary systems. With this knowledge descriptive equations can be derived that are suitable for solution by computer techniques. These solutions are of potential diagnostic value. Two examples will be cited
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Computational and physiological background of the baroreflex sensitivity

Clinical Physiology and Functional Imaging, 2010
SummaryAll the commonly used definitions of baroreflex sensitivity (BRS) are based on a slope of linear relationship between systolic blood pressure and pulse interval (R–R interval). However, heart rate (HR) and R–R interval bear an inverse non‐linear relationship, which distorts determination of BRS when different HR levels are present.
T, Nieminen   +3 more
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Anatomy and Physiology of Computers

1994
For most people the inner workings of a television are a mystery, but that does not stop them from using and enjoying television. In the same way, it is not necessary to understand all the details of computer technology before it can be used to great advantage.
Kathryn J. Hannah   +2 more
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On physiological computing with an application in interactive art

Interacting with Computers, 2004
The paper presents a discussion on the logic of the necessity for investigation into the area of physiological computing and reviews empirical work by some of the authors. In particular, the paper discusses the reliability of information that can be inferred from certain biological sensor data and ways in which positive benefits can be ensured or ...
Ernest A. Edmonds   +3 more
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Computer Support for Physiological Cell Modelling using an Ontology on Cell Physiology

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
The development of electrophysiological whole cell models to support the understanding of biological mechanisms is increasing rapidly. Due to the complexity of biological systems, comprehensive cell models, which are composed of many imported sub-models of functional elements, can get quite complicated as well, making computer modification difficult ...
Takao Shimayoshi   +5 more
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BITalino: A Novel Hardware Framework for Physiological Computing

Proceedings of the International Conference on Physiological Computing Systems, 2014
Physical computing has spun a true global revolution in the way in which the digital interfaces with the real world. From bicycle jackets with turn signal lights to twitter-controlled christmas trees, the Do-it-Yourself (DiY) hardware movement has been driving endless innovations and stimulating an age of creative engineering. This ongoing (r)evolution
Hugo Plácido da Silva   +4 more
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Computational Anatomy and Computational Physiology for Medical Image Analysis

2005
Medical image analysis brings about a revolution to the medicine of the 21 st century, introducing a collection of powerful new tools designed to better assist the clinical diagnosis and to model, simulate, and guide more efficiently the patient’s therapy. A new discipline has emerged in computer science, closely related to others like computer vision,
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