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001483941 001__ 1483941
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001483941 019__ $$a1409031979
001483941 020__ $$a9783662679982$$q(electronic bk.)
001483941 020__ $$a3662679981$$q(electronic bk.)
001483941 020__ $$z9783662679975
001483941 020__ $$z3662679973
001483941 0247_ $$a10.1007/978-3-662-67998-2$$2doi
001483941 035__ $$aSP(OCoLC)1408533094
001483941 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ$$dOCLCO
001483941 049__ $$aISEA
001483941 050_4 $$aR857.D47
001483941 08204 $$a610.28$$223/eng/20231121
001483941 1001_ $$aHusar, Peter,$$eauthor.
001483941 24510 $$aElectrical biosignals in biomedical engineering :$$bmedical sensors, measurement technology and signal processing /$$cPeter Husar, Gabriel Gašpar.
001483941 264_1 $$aBerlin :$$bSpringer,$$c[2023]
001483941 264_4 $$c©2023
001483941 300__ $$a1 online resource (xii, 518 pages) :$$billustrations (some color)
001483941 336__ $$atext$$btxt$$2rdacontent
001483941 337__ $$acomputer$$bc$$2rdamedia
001483941 338__ $$aonline resource$$bcr$$2rdacarrier
001483941 5050_ $$aIntro -- Foreword -- Reviewers -- Contents -- Part IOrigin, Acquisition, Analog Processing, and Digitization of Biosignals -- 1 Origin and Detection of Bioelectric Signals -- 1.1 The Neuron -- 1.2 Electrical Excitation Conduction and Projection -- 1.3 Galvanic Sensors -- 1.3.1 Basics -- 1.3.2 Offset Voltage -- 1.3.3 Impedance -- 1.4 Capacitive Sensors -- 1.4.1 Sensor Technology -- 1.4.2 Metrology -- 1.5 Experimental Data -- 1.5.1 Action Potentials of Natural Neurons -- 1.5.2 EEG, Sensory System -- 1.5.3 Needle and Surface EMG -- 1.5.4 Stress ECG -- References
001483941 5058_ $$a2 Amplification and Analog Filtering in Medical Measurement Technology -- 2.1 Properties of Biosignals and Disturbances -- 2.1.1 Properties of Biosignals and Disturbances Over Time -- 2.1.2 Properties of Biosignals and Interference in the Spectrum -- 2.1.3 Coupling of Disturbances into the Measuring Order -- 2.2 Medical Measuring Amplifiers -- 2.2.1 Specifics of the Medical Measurement Technology -- 2.2.2 Differential Amplifier -- 2.2.3 Operational Amplifier, Instrumentation Amplifier -- 2.2.4 Isolation Amplifier -- 2.2.5 Guarding Technology -- 2.2.6 Active Electrodes -- 2.3 Analog Filters
001483941 5058_ $$a2.3.1 Basics -- 2.3.2 Active Filters with Operational Amplifiers -- 2.3.3 Phase Frequency Response -- 2.4 Exercises -- 2.4.1 Tasks -- 2.4.2 Solutions -- 3 Acquisition, Sampling, and Digitization of Biosignals -- 3.1 Biosignal Acquisition -- 3.1.1 Derivation Technology -- 3.1.2 References in Biosignal Acquisition -- 3.2 Biosignal Sampling -- 3.2.1 Spectral Characteristics of the Scan -- 3.2.2 A Sampling of Bandlimited Signals -- 3.2.3 Scanning in Multichannel Systems -- 3.3 Digitization of Biosignals -- 3.3.1 Integrating Transducers -- 3.3.2 Successive Approximation -- 3.3.3 Delta-Sigma Conversion
001483941 5058_ $$a3.4 Exercises -- 3.4.1 Tasks -- 3.4.2 Solutions -- Reference -- Part IITime and Frequency Analysis, Digital Filtering -- 4 Time, Frequency, and Compound Domain -- 4.1 Signal Analysis in the Time Domain -- 4.1.1 Feature Identification -- 4.1.2 Determination of Curve Parameters -- 4.2 Signal Analysis in the Frequency Domain -- 4.2.1 Fourier Transform -- 4.2.2 Discrete Fourier Transform -- 4.3 Signal Analysis in the Time-Frequency Composite Range -- 4.3.1 Introduction to Time-Frequency Distributions -- 4.3.2 Fourier-Based Time-Frequency Distributions -- 4.3.3 Wavelets -- 4.4 Exercises -- 4.4.1 Tasks
001483941 5058_ $$a4.4.2 Solutions -- References -- 5 Digital Filtering -- 5.1 Introduction to Digital Filtering -- 5.2 LTI-Systems: FIR and IIR -- 5.2.1 Introduction to Impulse Response and Filter Structure -- 5.2.2 Infinite Impulse Response Filter, IIR -- 5.2.3 Finite Impulse Response Filter, FIR -- 5.3 LTV Systems: Time-Variable and Adaptive Filters -- 5.3.1 Basics of Time-Variable Filtering -- 5.3.2 Time Variable Filters -- 5.3.3 Adaptive Filters -- 5.4 Spatiotemporal Filtering -- 5.4.1 Fundamentals of Spatiotemporal Filtering -- 5.4.2 Beamforming -- 5.4.3 Spatial Filter -- 5.4.4 Average Reference
001483941 506__ $$aAccess limited to authorized users.
001483941 520__ $$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 sourcesensor technologysignal amplification and conditioningsignal sampling and digitizationmethods of biosignal processingbiostatistics 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.
001483941 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 21, 2023).
001483941 650_6 $$aGénie biomédical.
001483941 650_6 $$aTraitement du signal$$xTechniques numériques.
001483941 650_0 $$aBiomedical engineering.$$vCongresses$$0(DLC)sh2007101999
001483941 650_0 $$aSignal processing$$xDigital techniques.
001483941 655_0 $$aElectronic books.
001483941 7001_ $$aGašpar, Gabriel,$$eauthor.
001483941 77608 $$iPrint version: $$z3662679973$$z9783662679975$$w(OCoLC)1391093539
001483941 852__ $$bebk
001483941 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-662-67998-2$$zOnline Access$$91397441.1
001483941 909CO $$ooai:library.usi.edu:1483941$$pGLOBAL_SET
001483941 980__ $$aBIB
001483941 980__ $$aEBOOK
001483941 982__ $$aEbook
001483941 983__ $$aOnline
001483941 994__ $$a92$$bISE