000			03043nam a22003495i 4500
999			_c402793 _d402793
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008			231107s2023 gw | fo |||| 0|eng d
020			_a9783662679982
024	7		_a10.1007/978-3-662-67998-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR857 .D47 _b2023 EB
100	1		_aHusar, Peter _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9690575
245	1	0	_aElectrical Biosignals in Biomedical Engineering : _bMedical Sensors, Measurement Technology and Signal Processing _cby Peter Husar, Gabriel Gašpar
250			_a1st ed. 2023
264		1	_aBerlin, Heidelberg _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aOrigin and Detection of Bioelectric Signals -- Amplification and Analog Filtering in Medical Measurement Technology -- Acquisition, Sampling, and Digitization of Biosignals -- Time, Frequency, and Compound Domain -- Digital Filtering -- Biostatistics -- Stochastic Processes.
520			_aThis 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. The target groups The book is suitable for medical technology studies, research, and practice. You can inform yourself compactly across your professional boundaries about the neighbouring fields and topics at the interdisciplinary interface between medicine and technology.
988			_aSpringer_Medicine_2023
650		7	_2embne _9143820 _aIngeniería biomédica
700	1		_9690576 _aGašpar, Gabriel _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-67998-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2024 _dz _ean _zSI