05307nam a22006135i 4500 978-981-97-4635-4 DE-He213 20251030112908.0 cr nn 008mamaa 240823s2024 si | s |||| 0|eng d 9789819746354 978-981-97-4635-4 10.1007/978-981-97-4635-4 doi TK5101-5105.9 TJK bicssc TEC041000 bisacsh TJK thema LeMoyne, Robert. author. aut http://id.loc.gov/vocabulary/relators/aut 78884 Wearable and Wireless Systems for Healthcare II [electronic resource] : Movement Disorder Evaluation and Deep Brain Stimulation Systems / by Robert LeMoyne, Timothy Mastroianni, Donald Whiting, Nestor Tomycz. 2nd ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVII, 194 p. 66 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Smart Sensors, Measurement and Instrumentation, 2194-8410 ; 49 1. Wearable and wireless systems for movement disorder evaluation and deep brain stimulation systems -- 2. Movement disorders: Parkinson’s disease and Essential tremor, a general perspective -- 3. Traditional ordinal strategies for establishing the severity and status of movement disorders, such as Parkinson's disease and Essential tremor -- 4. Deep brain stimulation for the treatment of movement disorder regarding Parkinson's disease and Essential tremor with device characterization -- 5. Surgical procedure for deep brain stimulation implantation and operative phase with post-operative risks -- 6. Preliminary wearable and locally wireless systems for quantification of Parkinson's disease and Essential tremor characteristics -- 7. Wearable and wireless systems with Internet connectivity for quantification of Parkinson's disease and Essential tremor characteristics -- 8. Role of machine learning for classification of movement disorderand deep brain stimulation status -- 9. Assessment of machine learning classification strategies for the differentiation of deep brain stimulation ‘On’ and ‘Off’ status for Parkinson’s disease -- 10. New perspectives for Network Centric Therapy for the treatment of Parkinson's disease and Essential tremor -- 11. Advent of Conformal Wearables and Wireless Systems -- 12. Other Notable Innovations for Wearable and Wireless Systems -- 13. Deep Brain Stimulation with Machine Learning Classification Through Conformal Wearables -- 14. Automated Tuning and Optimization of Deep Brain Stimulation -- 15. Other Forms of Neuromodulation -- 16. Future Perspectives. This book is the second edition of the one originally published in 2019. The original publication features the discovery of numerous novel applications for the use of smartphones and portable media devices for the quantification of deep brain stimulation for the treatment of movement disorders that constitute first-in-the-world applications for these devices. Since the first edition, numerous evolutions involving the domain of wearable and wireless systems for healthcare and deep brain stimulation have transpired warranting the publication of the second edition. This volume covers wearable and wireless systems for healthcare that are far more relevant to the unique requirements of the domain of deep brain stimulation. The paradigm-shifting new wearables comprising attributes of conformability and further miniaturization have been recently applied for the context of deep brain stimulation. Additionally, the subjects of automated optimization for deep brain stimulation and the rampantly expanding additional applications for deep brain stimulation are addressed. The authors expect that these significant developments make this book valuable for all readers. Telecommunication. Neurology . 66816 Human physiology. User interfaces (Computer systems). 64688 Human-computer interaction. 64854 Communications Engineering, Networks. Neurology. 66816 Human Physiology. User Interfaces and Human Computer Interaction. 66577 Mastroianni, Timothy. author. aut http://id.loc.gov/vocabulary/relators/aut 78885 Whiting, Donald. author. aut http://id.loc.gov/vocabulary/relators/aut 82779 Tomycz, Nestor. author. aut http://id.loc.gov/vocabulary/relators/aut 82780 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819746347 Printed edition: 9789819746361 Printed edition: 9789819746378 Smart Sensors, Measurement and Instrumentation, 2194-8410 ; 49 67547 https://doi.org/10.1007/978-981-97-4635-4 ZDB-2-ENG ZDB-2-SXE 62677 62677