Skip to main content

Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation

  • Book
  • © 2022

Overview

  • Discusses comprehensively the range of technologies for diagnosing and assessing Parkinson’s disease patients
  • Describes the latest studies providing insights into the changes to the neural system in Parkinson’s disease
  • Identifies significant research gaps and highlights opportunities for impactful research in this field

Part of the book series: Series in BioEngineering (SERBIOENG)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

Keywords

About this book

This book describes the range of technologies that have been developed for diagnosing and assessing Parkinson’s disease patients. Also presenting the latest studies providing insights into the changes to the neural system in Parkinson’s disease, it is a valuable resource for neurologists, general practitioners and nurses. Further, the book highlights areas that require more research, and as such will appeal to researchers, biomedical engineers and clinicians. 


Editors and Affiliations

  • Department of Electronics and Instrumentation Engineering, SRM Institute of Science and Technology, Kattankulathur, India

    Sridhar P. Arjunan

  • Biosignals lab, School of Engineering, RMIT University, Melbourne, Australia

    Dinesh Kant Kumar

About the editors

Sridhar P. Arjunan is currently a Research Assistant Professor at the Center for Human Movement Research and Analysis , Department of Electronics and Instrumentation Engineering, SRM Institute of Science and Technology, India. He received his Ph.D. degree in Electronics and Biomedical Engineering from RMIT University, Australia, in 2009, and was a Postdoctoral Research Fellow at Biosignals Lab at RMIT University. Dr. Arjunan is a recipient of a SPARC-MHRD Project (2019-21), SERB (2018-21), CASS Australian Early Career Researcher grant (2010), RMIT SECE Research Scholarship (2006–2008) and German State Research Scholarship (2006) and he has published over 100 research articles in various journals and conferences. His major research interests include biomedical signal processing, rehabilitation studies, fractal theory, human movement and human–computer interface applications. 

Dinesh Kant Kumar holds a  B.Tech. from IIT Madras and Ph.D. from IIT Delhi, and is currently a Professor at RMIT University, Melbourne, Australia. He has published over 400 papers, authored 5 books and is on a range of Australian and international biomedical engineering committees. His passion is for affordable diagnostics and making a difference for his students. His work has been cited over 5600 times, and he has also had multiple successes with technology translation.  


Bibliographic Information

  • Book Title: Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation

  • Editors: Sridhar P. Arjunan, Dinesh Kant Kumar

  • Series Title: Series in BioEngineering

  • DOI: https://doi.org/10.1007/978-981-16-3056-9

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-16-3055-2Published: 03 August 2021

  • Softcover ISBN: 978-981-16-3058-3Published: 04 August 2022

  • eBook ISBN: 978-981-16-3056-9Published: 02 August 2021

  • Series ISSN: 2196-8861

  • Series E-ISSN: 2196-887X

  • Edition Number: 1

  • Number of Pages: X, 167

  • Number of Illustrations: 1 b/w illustrations, 4 illustrations in colour

  • Topics: Biomedical Engineering and Bioengineering

Publish with us