|
|
|
|
LEADER |
00000cam a2200000 i 4500 |
001 |
SCIDIR_on1181846718 |
003 |
OCoLC |
005 |
20231120010504.0 |
006 |
m o d |
007 |
cr |n||||||||| |
008 |
200804t20202020enka ob 001 0 eng d |
040 |
|
|
|a YDX
|b eng
|e rda
|e pn
|c YDX
|d OPELS
|d OCLCF
|d DKU
|d OCLCO
|d OCLCA
|d OCLCO
|d WAU
|d OCLCQ
|d K6U
|d OCL
|d N$T
|d OCLCQ
|
020 |
|
|
|a 0128189479
|q (electronic book)
|
020 |
|
|
|a 9780128189474
|q (electronic bk.)
|
020 |
|
|
|z 9780128189467
|q (paperback)
|
020 |
|
|
|z 0128189460
|q (paperback)
|
035 |
|
|
|a (OCoLC)1181846718
|
046 |
|
|
|k 2020
|2 edtf
|
050 |
|
4 |
|a R856
|
082 |
0 |
4 |
|a 610.28
|2 23
|
245 |
0 |
0 |
|a Biomedical signal processing and artificial intelligence in healthcare /
|c edited by Walid Zgallai.
|
264 |
|
1 |
|a London, United Kingdom :
|b Academic Press, an imprint of Elsevier,
|c [2020]
|
264 |
|
4 |
|c �2020
|
300 |
|
|
|a 1 online resource :
|b illustrations
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
336 |
|
|
|a still image
|b sti
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
490 |
1 |
|
|a Developments in biomedical engineering and bioelectronics series
|
504 |
|
|
|a Includes bibliographical references and index.
|
505 |
0 |
|
|a 1. Introduction to biomedical signal processing and artificial intelligence / Noura Al Hinai -- 2. Characterization of biomedical signals: Feature engineering and extraction / Bashar Rajoub -- 3. Supervised and unsupervised learning / Bashar Rajoub -- 4. Machine learning in biomedical signal processing with ECG applications / Bashar Rajoub -- 5. Deep EEG: Deep learning in biomedical signal processing with EEG applications / J. Teye Brown and Walid Zgallai -- 6. Fuzzy logic in medicine / Dilber Uzun Ozsahin, Berna Uzun, Ilker Ozsahin, Mubarak Taiwo Mustapha, and Musa Sani Musa -- 7. Neural network applications in medicine / Ilker Ozsahin and Dilber Uzun Ozsahin -- 8. Analysis and management of sleep data / Christoph Janott.
|
520 |
|
|
|a "Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving. Dr Zgallai's book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key up-and-coming academics across the full subject area. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners"--
|c Provided by publisher
|
588 |
0 |
|
|a Print version record.
|
650 |
|
0 |
|a Biomedical engineering.
|
650 |
|
0 |
|a Artificial intelligence
|x Medical applications.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
2 |
|a Biomedical Engineering
|0 (DNLM)D001698
|
650 |
|
2 |
|a Artificial Intelligence
|0 (DNLM)D001185
|
650 |
|
6 |
|a G�enie biom�edical.
|0 (CaQQLa)201-0021888
|
650 |
|
6 |
|a Intelligence artificielle en m�edecine.
|0 (CaQQLa)201-0180593
|
650 |
|
6 |
|a Intelligence artificielle.
|0 (CaQQLa)201-0008626
|
650 |
|
7 |
|a biomedical engineering.
|2 aat
|0 (CStmoGRI)aat300250642
|
650 |
|
7 |
|a artificial intelligence.
|2 aat
|0 (CStmoGRI)aat300251574
|
650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
|
650 |
|
7 |
|a Artificial intelligence
|x Medical applications.
|2 fast
|0 (OCoLC)fst00817267
|
650 |
|
7 |
|a Biomedical engineering.
|2 fast
|0 (OCoLC)fst00832568
|
700 |
1 |
|
|a Zgallai, Walid A.,
|e editor.
|
776 |
0 |
8 |
|i Print version:
|t Biomedical signal processing and artificial intelligence in healthcare.
|d ELSEVIER ACADEMIC, 2020
|z 0128189460
|w (OCoLC)1127100705
|
830 |
|
0 |
|a Developments in biomedical engineering and bioelectronics.
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128189467
|z Texto completo
|