TY  - BOOK
AU  - Khare,Smith K.
AU  - Taran,Sachin
AU  - Jamthikar,Ankush D.
ED  - Institute of Physics (Great Britain),
TI  - Artificial intelligence: a tool for effective diagnostics 
T2  - [IOP release $release]
SN  - 9780750359641
AV  - R855.3 .A685 2024eb
PY  - 2024///]
CY  - Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK)
PB  - IOP Publishing
KW  - Artificial intelligence
KW  - Medical applications
KW  - Diagnosis
KW  - Data processing
KW  - Artificial Intelligence
KW  - Diagnosis, Computer-Assisted
KW  - Medical Informatics Applications
KW  - Pre-clinical medicine - basic sciences
KW  - bicssc
KW  - MEDICAL / Diagnosis
KW  - bisacsh
N1  - "Version: 20241101"--Title page verso; Includes bibliographical references; 1. Introduction to AI-driven diagnostics and human-machine interfaces / Smith K. Khare, Ankush Jamthikar and Sachin Taran -- 2. Recent advancements in emerging technology for healthcare management systems / Bhawna Sachdeva, Jeebananda Panda and Sachin Taran -- 3. The role of high-performance computing in processing electronic healthcare records / Govind Prasad, Ayan Banerjee and Khushboo Rani -- 4. Detection of attention deficit hyperactivity disorder using electroencephalogram signals : a review / Joseph Nixon Kiro, Bam Bahadur Sinha, Madhu Kumari and Shalini Mahato -- 5. Artificial neural network-based classification of eye states using electroencephalogram signals : a comparative analysis of algorithms and artifact removal techniques / Pranjali Gajbhiye, Vineet Singh, Sandeep Saharan and Shyam Joshi -- 6. Hybrid reptile search algorithm-snake optimizer and rational wavelet filter banks for Alzheimer's disease detection / Digambar V. Puri, Pramod H. Kachare, Sandeep B. Sangle and Sanjay L. Nalbalwar -- 7. Mother tree optimization for early detection of focal seizure using entropy-based features / Hesam Akbari and Wael Korani -- 8. Automatic detection of seizure activity using EEG signals / Hesam Akbari and Wael Korani -- 9. Prediction of rhythm-based abnormalities in electrocardiograms using time-frequency representations / Sandeep Kumar Singh, Anirvina Sharma, Sunil Athawale, Annapureddy Srija Reddy, Ashwin Kamble and Ankush Jamthikar -- 10. Real-time implementation of ECG beat identification using Hilbert transform and artificial neural network / Vikas Kumar Sinha and Govind Prasad -- 11. Simulation and review of blood smear image-based leukemia classification using machine learning methods / Gopal Singh Tandel, Nitin Kumar Mishra and Vivek Sharma -- 12. Subject-independent emotion classification using galvanic skin response and electroencephalogram data / Tanishqa Tyagi, Anukul Pandey, Sachin Taran and Amit Kumar Dwivedi -- 13. Speech emotion recognition using empirical wavelet transform and cubic support vector machine / Mehrab Hosain, Anukul Pandey, Sachin Taran, Ravi, Asmar Hafeez and Nikhil -- 14. Spectral and spatial analysis of EEG signals for imagined speech recognition / Ashwin Kamble and Pradnya Ghare -- 15. Classifying human attention states in EEG-based brain-computer interfacing using singular spectrum analysis / Ankit Baisoya, Ujjwal Kumar Upadhyay, Vansh Singh, Sachin Taran and Vikram Singh Kardam; Full-text restricted to subscribers or individual document purchasers; Researchers in healthcare analytics, medical big data analysis, medical adaptive signal processing and machine learning applied to time series data; Also available in print
N2  - The book explores the application of artificial intelligence across various human-machine interfaces, addressing areas such as human attention, emotions, seizures, Alzheimer's disease, focal and non-focal disorders, electrocardiogram rhythms, abnormal heartbeats, and leukemia. It provides a thorough examination of techniques for analyzing and processing both physiological and physical signals, as well as smear blood images. Physiological signals discussed include electroencephalograms (EEGs), electrocardiograms (ECGs), and electronic health records (EHRs), while physical signals encompass human speech. Serving as a comprehensive guide, the book delves into advanced signal processing techniques and the use of machine learning and deep learning for automated signal pre-processing and classification. Part of IOP Series in Artificial Intelligence in the Biomedical Sciences
UR  - https://iopscience.iop.org/book/edit/978-0-7503-5964-1
ER  -