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Biopotential Readout Circuits for Portable Acquisition Systems describes one of the main building blocks of such miniaturized biomedical;
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problems, this volume includes coverage of: spectral analysis; EGG signals; and numerical modelling of Maxwell's equation.;
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, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis;
Vergelijkbare producten zoals Biomedical Signal Processing for Healthcare Applications
analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature;
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Biomedical Signal Analysis for Connected Healthcare provides rigorous coverage on several generations of techniques, including time;
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analysis for studying different disorders Includes case studies, real-time examples and research directions;
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monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic;
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analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep;
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will the changing demographics of our community do to affect demand for medical services in our region in two years? These and similar;
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. It emphasizes shape analysis, optimal shape design, controllability, nonlinear boundary control, and stabilization. The authors include;
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to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long;
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. It emphasizes shape analysis, optimal shape design, controllability, nonlinear boundary control, and stabilization. The authors include;
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signals, system modelling and system analysis. System analysis in frequency domain using Fourier transform and Laplace transform is explained with;
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Sensitivity analysis, which ascertains how a given model depends upon its input parameters and determines the degree of stability of the;
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topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature;
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Written in tutorial style, this textbook discusses the fundamental topics of modern day Sonar Systems Engineering for the analysis and;
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification;
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in rehabilitation, it covers e.g. musculoskeletal modelling, gait analysis, biomechanics, robotics modelling and simulation, sensors, wearable devices, and;
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including methods and devices in civil structures, modal analysis, active control of high-rise buildings and bridge towers, active tendon control;
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tracks and covers following topics: bearing capacity policies, concepts, costs and condition surveys; analysis and modelling; design and;
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files and elementary operations on signals and then presents the first tools to signal analysis such as temporal and frequency characteristics;
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in healthcare delivery, and policies have brought the patients' role in healthcare to the forefront. This 2-volume set reviews and advances the emerging;
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of several components, besides the action potential. These components include mechanical waves in the biomembrane and axoplasm, together with the;
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of several components, besides the action potential. These components include mechanical waves in the biomembrane and axoplasm, together with the;
Vergelijkbare producten zoals Modelling of Complex Signals in Nerves
This book consists of the research, design and implementation, from sizing to layout with parasitic extraction and yield estimation, of a;
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