Cargando…
Modelling and analysis of active biopotential signals in healthcare. Volume 2 /
Biopotential signals are often used by physicians to measure the activities of organs and tissues in the human body. This book describes the sources and characteristics of different biopotential signals and provides an understanding of how a range of signals can be modelled and analysed. The resulti...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
IOP Publishing,
[2020]
|
| Colección: | IPEM-IOP series in physics and engineering in medicine and biology.
IOP ebooks. 2020 collection. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000nam a2200000 4500 | ||
|---|---|---|---|
| 001 | IOP_9780750334112 | ||
| 003 | IOP | ||
| 005 | 20210114101458.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 210114s2020 enka fob 000 0 eng d | ||
| 020 | |a 9780750334112 |q ebook | ||
| 020 | |a 9780750334105 |q mobi | ||
| 020 | |z 9780750334099 |q print | ||
| 020 | |z 9780750334129 |q myPrint | ||
| 024 | 7 | |a 10.1088/978-0-7503-3411-2 |2 doi | |
| 035 | |a (CaBNVSL)thg00082225 | ||
| 035 | |a (OCoLC)1231597521 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a R857.S47 |b M643 2020eb vol. 2 | |
| 060 | 4 | |a WB 141 |b M689 2020eb vol. 2 | |
| 072 | 7 | |a MQW |2 bicssc | |
| 072 | 7 | |a TEC059000 |2 bisacsh | |
| 082 | 0 | 4 | |a 610.28 |2 23 |
| 245 | 0 | 0 | |a Modelling and analysis of active biopotential signals in healthcare. |n Volume 2 / |c edited by Varun Bajaj, G.R. Sinha. |
| 264 | 1 | |a Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : |b IOP Publishing, |c [2020] | |
| 300 | |a 1 online resource (various pagings) : |b illustrations (some color). | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a IPEM-IOP series in physics and engineering in medicine and biology | |
| 490 | 1 | |a IOP ebooks. [2020 collection] | |
| 500 | |a "Version: 20201201"--Title page verso. | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 1. Classification of motor-imagery tasks from EEG signals using the rational dilation wavelet transform / Sachin Taran, Smith K. Khare, Varun Bajaj and G.R. Sinha -- 2. A deep learning framework for emotion recognition using improved time-frequency image analysis of electroencephalography signals / Kaniska Samanta, Soumya Chatterjee and Rohit Bose -- 3. Multivariate phase synchrony based on fuzzy statistics : application to PTSD EEG signals / Zahra Ghanbari and Mohammad Hassan Moradi -- 4. A study of the influence of meditation and music therapy on the vital parameters of the human body through EEG signal analysis : a review / Anurag Shrivastava, Bikesh Kumar Singh and Neelamshobha Nirala -- 5. Cross-wavelet transform aided focal and non-focal electroencephalography signal classification employing deep feature extraction / Sayanjit Singha Roy, Sudip Modak, Somshubhra Roy and Soumya Chatterjee -- 6. Local binary pattern based feature extraction and machine learning for epileptic seizure prediction and detection / Abdulhamit Subasi, Turker Tuncer, Sengul Dogan and Dahiru Tanko -- 7. Increasing the usability of the Devanagari script input based P300 speller / Ghanahshyam B. Kshirsagar and Narendra D. Londhe -- 8. A comprehensive review of the fabrication and performance evaluation of dry electrodes for long-term ECG monitoring / Yogita Maithani, Bijit Choudhuri, B.R. Mehta and J.P. Singh -- 9. Effective cardiac health diagnosis using event-driven ECG processing with subband feature extraction and machine learning techniques / Saeed Mian Qaisar and Syed Fawad Hussain -- 10. Analysis of heart patients using a tree based ensemble model / Dhyan Chandra Yadav and Saurabh Pal -- 11. Heartbeat classification using parametric and time-frequency methods / Abdulhamit Subasi and Saeed Mian Qaisar -- 12. Segmentation of ECG waves using LSTM networks / Aboli N. Londhe and Mithilesh Atulkar -- 13. Deep convolutional neural network based diagnosis of COVID-19 using x-ray images / Vimal K. Shrivastava and Monoj K. Pradhan -- 14. Otitis media diagnosis model for tympanic membrane images processed in two-stage processing blocks / Erdal Başaran, Zafer Cömert, Yüksel Cȩlik, Ümit Budak and Abdulkasdir şengür -- 15. Modelling and analysis for active infrared thermography for breast cancer screening / Ravibabu Mulaveesala, Geetika Dua, Vanita Arora and Anshul Sharma -- 16. Photoacoustic microscopy : fundamentals, instrumentation and applications / Mayanglambam Suheshkumar Singh, Anjali Thomas and Souradip Paul -- 17. Rigorous performance assessment of computer-aided medical diagnosis and prognosis systems : a biostatistical perspective on data mining / Marjan Mansourian, Hamid Reza Marateb, Mahsa Mansourian, Mohammad Reza Mohebbian, Harald Binder and Miguel Ángel Mañanas. | |
| 520 | 3 | |a Biopotential signals are often used by physicians to measure the activities of organs and tissues in the human body. This book describes the sources and characteristics of different biopotential signals and provides an understanding of how a range of signals can be modelled and analysed. The resulting information can be used to assist in the identification of disorders such as epilepsy, schizophrenia, PTSD and heart disease, among others. An emphasis is placed on the real challenges in biopotential signal processing due to the complex and non-stationary nature of signals. Following on from Volume 1, this book starts with a collection of chapters covering some of the latest developments in electroencephalography (EEG) signal analysis, then moves on to applications of electrocardiography (ECG) and Otoscope signals. The volume concludes with a discussion of other monitoring techniques. The chapters include biomedical examples and discussions of how each method can be used to study human organs. 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. | |
| 521 | |a Research scholars, post graduate and doctorate students; academia; university libraries. | ||
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 538 | |a System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. | ||
| 545 | |a Dr. Varun Bajaj is Subject Editor-in-Chief of IET Electronics Letters (SCI) on biomedical technology and also authored more than 90 research papers in various reputed international journals/conferences including IEEE Transactions, Elsevier, Springer and IOP Publishing. The citation impact of his publications is around 1762 citations, h-index of 19, and i10 index of 39 (Google Scholar June 2020). Dr. G.R. Sinha has published more than 200 research papers; edited four books on similar research areas to this book, and authored key books on medical image processing and biometrics. He is Visiting Professor (honorary) in Sri Lanka Technological Campus Colombo. He is ACM Distinguished Speaker, IEEE Senior Member, Fellow of IETE & IEI and has been IEEE Distinguished Lecturer. He has more than 12 research and teaching based awards at International and National level into his credit. | ||
| 588 | 0 | |a Title from PDF title page (viewed on January 14, 2021). | |
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 1 | 2 | |a Electrodiagnosis |x methods. |
| 650 | 2 | 2 | |a Signal Processing, Computer-Assisted. |
| 650 | 2 | 2 | |a Biomedical Engineering |x methods. |
| 650 | 7 | |a Biomedical engineering. |2 bicssc | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Biomedical. |2 bisacsh | |
| 700 | 1 | |a Bajaj, Varunm, |e editor. | |
| 700 | 1 | |a Sinha, G. R., |e editor. | |
| 710 | 2 | |a Institute of Physics (Great Britain), |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9780750334099 |z 9780750334129 |
| 830 | 0 | |a IPEM-IOP series in physics and engineering in medicine and biology. | |
| 830 | 0 | |a IOP ebooks. |p 2020 collection. | |
| 856 | 4 | 0 | |u https://iopscience.uam.elogim.com/book/978-0-7503-3411-2 |z Texto completo |