Modelling and analysis of active biopotential signals in healthcare Volume 1 / edited by Varun Bajaj, G.R. Sinha.

• 1. Classification of schizophrenia patients through empirical wavelet transformation using electroencephalogram signals / Smith K. Khare, Varun Bajaj, Siuly Siuly and G.R. Sinha -- 2. Fuzzy scale invariant feature transform phase locking value and its application to PTSD EEG data / Zahra Ghanbari and Mohammad H. Moradi -- 3. Weighted complex network based framework for epilepsy detection from EEG signals / Supriya Supriya, Siuly Siuly, Hua Wang and Yanchun Zhang -- 4. Epileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals / Hamid Reza Marateb, Carolina Migliorelli, Alejandro Bachiller, Tayebe Azimi, Farzad Ziaie Nezhad, Marjan Mansourian, Joan Francesc Alonso, Javier Aparicio, Maria Victoria San Antonio-Arce, Sergio Romero and Miguel Angel Ma ananas -- 5. Automatic drowsiness detection based on variational non-linear chirp mode decomposition using electroencephalogram signals / Smith K. Khare, Varun Bajaj and G.R. Sinha -- 6. Noise removal and classification of EEG signals using the Fourier decomposition method / Virender Kumar Mehla, Ashish Kumar, Amit Singhal and Pushpendra Singh -- 7. Reliable and accurate information extraction from surface electromyographic signals / Hamid Reza Marateb, Mislav Jordanic, Monica Rojas-Mart inez, Joan Francesc Alonso, Leidy Yanet Serna, Mehdi Shirzadi, Marjan Nosouhi, Miguel Angel Ma ananas and Kevin C. McGill -- 8. Classification of physical actions from surface EMG signals using the wavelet packet transform and local binary patterns / Omer F. Al cin, Umit Budak, Muzaffer Aslan, Yaman Akbulut, Zafer C omert, Muhammed H. Akp nar and Abdulkadir Seng ur -- 9. Empirical wavelet transform based classification of surface electromyogram signals for hand movements / Anurag Nishad and Abhay Upadhyay -- 10. Analysis of the muscular activity pattern of recurring physical action / Ajay Somkuwar and Vandana Somkuwar -- 11. Cloud-based cardiac health monitoring using event-driven ECG processing and ensemble classification techniques / Saeed M. Qaisar and Abdulhamit Subasi -- 12. Electrocardiogram beat classification using deep convolutional neural network techniques / Zafer C omert, Yaman Akbulut, Muhammed H. Akpinar, Omer F. Al cin, Umit Budak, Muzaffer Aslan and Abdulkadir Seng ur -- 13. ECG signal watermarking to enhance the security of telecardiology / Siddharth Bhalerao, Irshad A. Ansari and Anil Kumar -- 14. Statistical measures and analysis in electrocardiogram (ECG) signal processing / Ranjeet Kumar -- 15. The impact of regional atrophy on Alzheimer's disease and its identification using 3D texture analysis / Shiwangi Mishra and Pritee Khanna.

• This book looks at analysis and modelling of active biopotential signal processing. It emphasises the real-time challenges in biomedical signal processing that occur due to the complex and non-stationary nature of signals in a variety of applications for analysis, classification and identification of different states for improvement of healthcare systems. The main focus of the book is on modelling; acquisition of biomedical signals for different disorders; implementation of methodologies and their impact on different cases; case studies and research directions; automatic identification of related disorders; design and simulation examples; and issues and challenges. Overall, the book addresses the real-time challenges in biomedical signal processing used in a variety of applications such as analysis, classification and identification of different disorders in healthcare systems. It is a valuable guide for all researchers and practitioners who are engaged in studies and research in the area of biomedical signals and their applications. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology. 

Ämnesord

Signal processing.  (LCSH)

Biomedical engineering.  (LCSH)

Signal Processing, Computer-Assisted.  (MeSH)

Electrodiagnosis  -- methods. (MeSH)

Biomedical Engineering  -- methods. (MeSH)

TECHNOLOGY & ENGINEERING / Biomedical.  (bisacsh)

Klassifikation

R857.S47 (LCC)

WB 141 (NLM)

TEC059000 (ämneskategori)

610.28 (DDC)

Vpeb (kssb/8 (machine generated))