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This book is a broad-based introduction to an increasingly important topic. The overview is easy because each chapter is structured uniformly: theory, methods, realization alternatives, methodical and practical advantages and disadvantages, and examples from industrial technology and medicine as well as research and development practice.
Compared to the first edition “Biosignal Processing”, the content of this book has been expanded by a sensor chapter (galvanic and capacitive sensors) and exemplary experimental data. Chapter 7: “Stochastic Processes” is also new with selected topics such as statistical analysis of time series, signal detection, and signal decomposition. Furthermore, various electronic measuring circuits and calculations have been adapted to the changed legal regulations and standards and some calculation errors have been corrected.
The content is oriented to the sequence of the metrological and signal-analytical chain: neuron as a signal source–sensor technology–signal amplification and conditioning–signal sampling and digitization–methods of biosignal processing–biostatistics and stochastic processes.
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