Breath Analysis for Medical Applications
Mentés helye:
| Szerző: | |
|---|---|
| Testületi szerző: | |
| Közreműködő(k): | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Singapore : Springer,
2017
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| Tárgyszavak: | |
| Online elérés: | https://doi.org/10.1007/978-981-10-4322-2 |
| Címkék: |
Új címke
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| LEADER | nam a22 5i 4500 | ||
|---|---|---|---|
| 001 | 000954274 | ||
| 005 | 20190206155747.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170623s2017 si fs 000 0 eng d | ||
| 020 | |a 978-981-10-4322-2 | ||
| 024 | 7 | |a 10.1007/978-981-10-4322-2 |2 doi | |
| 040 | |a Springer |b hun |c ELTE | ||
| 041 | 0 | |a eng | |
| 080 | |a 502.85 | ||
| 080 | |2 23 | ||
| 100 | 1 | |a Zhang, David | |
| 245 | 1 | 0 | |a Breath Analysis for Medical Applications |c by David Zhang, Dongmin Guo, Ke Yan |
| 260 | |a Singapore |b Springer |c 2017 | ||
| 300 | |a XIII, 309 p. |b ill. | ||
| 336 | |a szöveg |b txt |2 rdacontent | ||
| 337 | |a számítógépes |b c |2 rdamedia | ||
| 338 | |a távoli hozzáférés |b cr |2 rdacarrier | ||
| 347 | |a szövegfájl |b PDF |2 rda | ||
| 505 | 0 | |a 1. Introduction -- 2. Literature Review -- 3. A Novel Breath Acquisition System Design -- 4. An LDA Based Sensor Selection Approach -- 5. Sensor Evaluation in a Breath Acquisition System -- 6. Improving the Transfer Ability of Prediction Models -- 7. Learning Classification and Regression Models for Breath Data with Drift based on Transfer Samples -- 8. A Transfer Learning Approach with Autoencoder for Correcting Instrumental Variation and Time-Varying Drift -- 9. Drift Correction using Maximum Independence Domain Adaptation -- 10. Feature Selection and Analysis on Correlated Breath Data -- 11. Breath Sample Identification by Sparse Representation-based Classification -- 12. Monitor Blood Glucose Levels via Sparse Representation Approach -- 13. Diabetics by Means of Breath Signal Analysis -- 14. A Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction. 15. A Novel Medical E-Nose Signal Analysis System -- 16. Book Review and Future Work. | |
| 520 | |a This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it provides a comprehensive introduction to breath signal acquisition methods, based on different kinds of chemical sensors, together with the optimized selection and fusion acquisition scheme. It then presents preprocessing techniques, such as drift removing and feature extraction methods, and uses case studies to explore the classification methods. Lastly it discusses promising research directions and potential medical applications of computerized breath diagnosis. It is a valuable interdisciplinary resource for researchers, professionals and postgraduate students working in various fields, including breath diagnosis, signal processing, pattern recognition, and biometrics. | ||
| 580 | |a Nyomtatott kiadás: ISBN 9789811043215 | ||
| 580 | |a Nyomtatott kiadás: ISBN 9789811043239 | ||
| 506 | |a Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. | ||
| 598 | |a könyv | ||
| 595 | |a e-book | ||
| 650 | 0 | 4 | |a egészségügyi adatok |x adatfeldolgozás |
| 650 | 0 | 4 | |a optikai alakfelismerés |
| 650 | 0 | 4 | |a egészségügyi informatika |
| 650 | 0 | |a Medical records |x Data processing. | |
| 650 | 0 | |a Optical pattern recognition. | |
| 650 | 1 | 4 | |a Health Informatics. |0 http://scigraph.springernature.com/things/product-market-codes/I23060 |
| 650 | 2 | 4 | |a Pattern Recognition. |0 http://scigraph.springernature.com/things/product-market-codes/I2203X |
| 650 | 2 | 4 | |a Signal, Image and Speech Processing. |0 http://scigraph.springernature.com/things/product-market-codes/T24051 |
| 653 | |a elektronikus könyv | ||
| 700 | 1 | |a Guo, Dongmin |e szerk. | |
| 700 | 1 | |a Yan, Ke |e szerk. | |
| 710 | 2 | |a SpringerLink (Online service) |e közreadó testület | |
| 850 | |a B2 | ||
| 856 | 4 | 0 | |y Online változat |u https://doi.org/10.1007/978-981-10-4322-2 |
| 264 | 1 | |a Singapore |b Springer Singapore |b Imprint: Springer |c 2017 | |