| 000 | 02327cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88873389 | ||
| 003 | FRCYB88873389 | ||
| 005 | 20250107232351.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250108s2019 fr | o|||||0|0|||eng d | ||
| 020 | _a9780128174449 | ||
| 035 | _aFRCYB88873389 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aSubasi, Abdulhamit | |
| 245 | 0 | 1 |
_aPractical Guide for Biomedical Signals Analysis Using Machine Learning Techniques _bA MATLAB Based Approach _c['Subasi, Abdulhamit'] |
| 264 | 1 |
_bElsevier Science _c2019 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
||
| 650 | 0 | _a | |
| 700 | 0 | _aSubasi, Abdulhamit | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88873389 _qtext/html _a |
| 520 | _aPractical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis.Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interactionExplains how to apply machine learning techniques to EEG, ECG and EMG signalsGives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series | ||
| 999 |
_c72301 _d72301 |
||