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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Pachori, Ram Bilas; | en_US |
| dc.date.accessioned | 2022-11-03T19:47:46Z | - |
| dc.date.available | 2022-11-03T19:47:46Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Chaurasiya, R. K., Agrawal, D., & Pachori, R. B. (2022). Preface. AI-Enabled Smart Healthcare using Biomedical Signals, , xv-xix. Retrieved from www.scopus.com | en_US |
| dc.identifier.isbn | 9781668439487; 9781668439470 | - |
| dc.identifier.other | EID(2-s2.0-85136879704) | - |
| dc.identifier.uri | https://doi.org/10.4018/978-1-6684-3947-0 | - |
| dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/10899 | - |
| dc.description.abstract | Technological advancements have enhanced all functions of society and revolutionized the healthcare field. Smart healthcare applications and practices have grown within the past decade, strengthening overall care. Biomedical signals observe physiological activities, which provide essential information to healthcare professionals. Biomedical signal processing can be optimized through artificial intelligence (AI) and machine learning (ML), presenting the next step towards smart healthcare. © 2022 by IGI Global. All rights reserved. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IGI Global | en_US |
| dc.source | AI-Enabled Smart Healthcare Using Biomedical Signals | en_US |
| dc.title | AI-Enabled smart healthcare using biomedical signals | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | Department of Electrical Engineering | |
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