01346nam0 2200325 i 450 SUN000454020120313120312.31620020723d1983 |0itac50 baitaIT|||| |||||Profili di amministrazione localela riforma franceseYves MényPadova : CEDAM198399 p. ; 24 cmTrad. di Maria Teresa Rigo.001SUN00044412001 Ricerche di diritto pubblico comparatocollana diretta da M. Patrono e A. Reposo4210 PadovaCEDAM1981-.Amministrazione localeFranciaFISUNC002861PadovaSUNL000007342.4421Mény, YvesSUNV003874382157Rigo, Maria T.SUNV047981CEDAMSUNV005537650Meny, YvesMény, YvesSUNV071951Rigo, Maria TeresaRigo, Maria T.SUNV071952ITSOL20181109RICASUN0004540UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA00 CONS IV.Eb.2 00 1631 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA1631CONS IV.Eb.2paProfili di amministrazione locale577431UNICAMPANIA05282nam 2200781Ia 450 991096140980332120251116192109.01-281-03322-797866110332240-08-052792-21-4356-0804-6(CKB)1000000000384558(EBL)317027(OCoLC)469636194(SSID)ssj0000111692(PQKBManifestationID)11137859(PQKBTitleCode)TC0000111692(PQKBWorkID)10080790(PQKB)10021872(MiAaPQ)EBC317027(Au-PeEL)EBL317027(CaPaEBR)ebr10206421(CaONFJC)MIL103322(OCoLC)657420575(EXLCZ)99100000000038455820050727d2005 uy 0engurcn|||||||||txtccrBioelectrical signal processing in cardiac and neurological applications /Leif Sornmo, Pablo Laguna1st ed.Boston ;Amsterdam Elsevier Academic Pressc20051 online resource (689 p.)Biomedical EngineeringDescription based upon print version of record.1-4933-0145-4 0-12-437552-9 Includes bibliographical references and index.Bioelectrical Signal Processing in Cardiac and Neurological Applications; Copyright Page; Contents; Preface; Chapter 1. Introduction; 1.1 Biomedical Signal Processing: Objectives and Contexts; 1.2 Basics of Bioelectrical Signals; 1.3 Signal Acquisition and Analysis; 1.4 Performance Evaluation; Bibliography; Chapter 2. The Electroencephalogram-A Brief Background; 2.1 The Nervous System; 2.2 The EEG-Electrical Activity Measured on the Scalp; 2.3 Recording Techniques; 2.4 EEG Applications; Bibliography; Chapter 3. EEG Signal Processing; 3.1 Modeling the EEG Signal; 3.2 Artifacts in the EEG3.3 Nonparametric Spectral Analysis 3.4 Model-based Spectral Analysis; 3.5 EEG Segmentation; 3.6 Joint Time-Frequency Analysis; Bibliography; Problems; Chapter 4. Evoked Potentials; 4.1 Evoked Potential Modalities; 4.2 Noise Characteristics; 4.3 Noise Reduction by Ensemble Averaging; 4.4 Noise Reduction by Linear Filtering; 4.5 Single-Trial Analysis Using Basis Functions; 4.6 Adaptive Analysis Using Basis Functions; 4.7 Wavelets; Bibliography; Problems; Chapter 5. The Electromyogram; 5.1 The Electrical Activity of Muscles; 5.2 Amplitude Estimation in the Surface EMG5.3 Spectral Analysis of the Surface EMG 5.4 Conduction Velocity Estimation; 5.5 Modeling the Intramuscular EMG; 5.6 Intramuscular EMG Signal Decomposition; Bibliography; Problems; Chapter 6. The Electrocardiogram-A Brief Background; 6.1 Electrical Activity of the Heart; 6.2 Generation and Recording of an ECG; 6.3 Heart Rhythms; 6.4 Heartbeat Morphologies; 6.5 Noise and Artifacts; 6.6 Clinical Applications; Bibliography; Chapter 7. ECG Signal Processing; 7.1 Baseline Wander; 7.2 Powerline Interference; 7.3 Muscle Noise Filtering; 7.4 QRS Detection; 7.5 Wave Delineation; 7.6 Data CompressionBibliography Problems; Chapter 8. ECG Signal Processing: Heart Rate Variability; 8.1 Acquisition and RR Interval Conditioning; 8.2 Time Domain Measures; 8.3 Heart Rhythm Representations; 8.4 Spectral Analysis of Heart Rate Variability; 8.5 Clustering of Beat Morphologies; 8.6 Dealing with Ectopic Beats; 8.7 Interaction with Other Physiological Signals; Bibliography; Problems; Appendix A. Review of Important Concepts; A.1 Matrix Fundamentals; A.2 Discrete-Time Stochastic Processes; Bibliography; Appendix B. Symbols and Abbreviations; B.1 Mathematical Symbols; B.2 Abbreviations; IndexThe analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications-the two ""heavyweight"" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerationsBrainElectric propertiesMusclesElectric propertiesHeartElectric propertiesElectroencephalographyElectromyographyElectrocardiographyBrainElectric properties.MusclesElectric properties.HeartElectric properties.Electroencephalography.Electromyography.Electrocardiography.616.8/047547Sörnmo Leif447876Laguna Pablo1962-447877ScienceDirect (Servicio en línea)MiAaPQMiAaPQMiAaPQBOOK9910961409803321Bioelectrical signal processing in cardiac and neurological applications104106UNINA