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Self-powered SoC platform f...
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monografia Rebiun24707528 https://catalogo.rebiun.org/rebiun/record/Rebiun24707528 m o d cr |n||||||||| 171029s2017 sz a ob 001 0 eng d GBB8O1796 bnb 1007700444 1008583754 9783319639734 electronic bk.) 3319639730 electronic bk.) 9783319639727 3319639722 AU@ 000061056918 UKMGB 019105331 CBUC 991054176139706706 com.springer.onix.9783319639734 Springer Nature YDX eng pn YDX N$T GW5XE EBLCP OCLCF UAB U3W CAUOI OCLCQ OCLCA LVT UKMGB OCLCO MERER OCLCQ UKAHL OCLCQ OCLCO OCLCQ MED 033000 bisacsh 618.320754 23 Self-powered SoC platform for analysis and prediction of cardiac arrhythmias Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail Cham, Switzerland Springer ©2017 Cham, Switzerland Cham, Switzerland Springer 1 online resource illustrations 1 online resource 1 online resource 1 online resource Text txt rdacontent computer c rdamedia online resource cr rdacarrier ACSP - analog circuits and signal processing Includes bibliographical references and index ""Preface""; ""Acknowledgments""; ""Abbreviations""; ""Contents""; ""List of Figures""; ""List of Tables""; ""Chapter 1: Introduction""; ""1.1 Remote Monitoring System (RMS)""; ""1.1.1 Key Enabling Technologies""; ""1.1.2 Economical Impact""; ""1.2 Electrocardiographic Signal""; ""1.3 Cardiac Arrhythmias""; ""1.4 The Problem with Existing Cardiac Arrhythmia Automatic Diagnostic Solutions""; ""1.5 Proposed Solutions and Book Contribution""; ""1.6 Goal of the Work""; ""1.7 Book Outline""; ""Chapter 2: Literature Review""; ""2.1 Cardiovascular Diseases""; ""2.1.1 Mortality"" ""2.1.2 Prevalence""""2.2 ECG Filtering: A Review""; ""2.3 ECG Feature Extraction Techniques: A Review""; ""2.4 ECG Classification Techniques: A Review""; ""2.4.1 Support Vector Machine (SVM)""; ""2.4.2 Artificial Neural Network (ANN)""; ""2.4.3 Hidden Markov Model (HMM)""; ""2.4.4 Linear Discriminant Analysis (LDA)""; ""2.4.5 Naive Bayes""; ""2.4.6 Hybrid Methods""; ""2.5 Hardware Implementation of ECG Signal Processing Systems: A Review""; ""2.5.1 State-of-the-Art""; ""Chapter 3: System Design and Development""; ""3.1 ECG Databases""; ""3.2 Analytical Methods for ECG Preprocessing"" ""3.2.1 QRS Complex Detection""""3.2.2 T and P Wave Delineation""; ""3.3 Feature Extraction""; ""3.3.1 Short-Term ECG Features""; ""3.3.2 Statistical Analysis""; ""3.3.3 Information Gain Attribute Evaluation""; ""3.4 Classification Using Naive Bayes""; ""3.4.1 Classification Procedure""; ""Chapter 4: Hardware Design and Implementation""; ""4.1 System Architecture""; ""4.2 Design of the Preprocessing Stage""; ""4.2.1 Realization of QRS Complex Detection""; ""4.2.2 Realization of T and P Wave Delineation""; ""4.3 Design of the Classification Stage""; ""4.4 ASIC Implementation"" ""4.4.1 Set Specifications and Prepare the Golden Model""""4.4.2 RTL Coding and Testbench""; ""4.4.3 Synthesis""; ""4.4.4 IC Compiler (ICC)""; ""4.4.5 Chip Finishing""; ""Chapter 5: Performance and Results""; ""5.1 Matlab Simulation Results""; ""5.1.1 Performance of the Preprocessing Stage: Part 1""; ""5.1.2 Performance of the Feature Extraction Stage""; ""5.1.2.1 Performance of Individual Features""; ""5.1.2.2 Performance of Feature Combinations""; ""5.1.3 Performance of the Classification Stage: Part 1""; ""5.1.4 Comparison to Published Work: Part 1"" ""5.2 ASIC Implementation Results""""5.2.1 Performance of the Preprocessing Stage: Part 2""; ""5.2.2 Performance of the Classification Stage: Part 2""; ""5.2.3 Comparison to Published Work: Part 2""; ""5.3 First Tapeout""; ""5.3.1 Testing and Implementation""; ""Chapter 6: Conclusions""; ""Bibliography"" Heart rate monitoring Cardiovascular instruments, Implanted Patient monitoring Cardiac pacemakers Electrocardiography, Ambulatory MEDICAL- Gynecology & Obstetrics Computer architecture & logic design Biomedical engineering Circuits & components Cardiac pacemakers Cardiovascular instruments, Implanted Heart rate monitoring Patient monitoring Electronic books Saleh, Hani author Bayasi, Nourhan author Mohammad, Baker author Ismail, Mohammed author Print version Self-powered SoC platform for analysis and prediction of cardiac arrhythmias. Cham, Switzerland : Springer, ©2017 9783319639727 3319639722 (OCoLC)992747712 Analog circuits and signal processing series