Wearable and Wireless Systems for Healthcare II

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.

Shows highly novel applications of wearable and wireless systems Demonstrates progress for machine learning classification of deep brain stimulation Describes automated tuning and optimization of deep brain stimulation

Auteur

Dr. Robert LeMoyne presently is an Adjunct Professor for Northern Arizona University for the Department of Biological Sciences and an Adjunct Professor for Czech Technical University in Prague for the Department of Biomedical Technology. Dr. LeMoyne is researching advanced concepts for wearable and wireless systems, such as for the domain of gait, reflex response, movement disorders, and therapeutic interventions. His Ph.D. in Biomedical Engineering was earned at University of California Los Angeles (UCLA) (2010). He has first authored more than 150 technical proceedings, including four books, which have been cited more than 2000 times, spanning a broad array of subjects, such as the rampant assortment of applications for wearable and wireless systems.

Timothy Mastroianni is a cognitive scientist, researcher, and entrepreneur. He pioneered the non-invasive use of computer vision and pattern recognition to uncover the internal states of random number generators in machines (HiLoClient2002). Mastroianni developed the first model and algorithms capable of predicting a person's thoughts using machine learning and fMRI, presenting these groundbreaking methods at Carnegie Mellon University to map the human brain and identify brain states during specific tasks. He is also the founder of Cognition Engineering, a subsidiary of Cognition International LLC.

Donald Mark Whiting was raised in Altoona, Pennsylvania and began his undergraduate education at Grinnell College in Iowa in 1976. He received an MS in Physiology at Georgetown University in 1981 and was awarded his medical degree in 1985 after training at Thomas Jefferson Medical College in Philadelphia. Donald then completed his neurosurgical residency at The Cleveland Clinic and a Neurotrauma fellowship at Allegheny General Hospital.
In 1992, Donald Whiting joined a practice in Washington, PA that would later merge with the health system now known as Allegheny Health Network. He became the System Chair for their Neuroscience Institute and a Professor of Neurosurgery for Drexel University in 2014. Three years later, he also accepted the role of President of Allegheny Clinic. Amongst his peers, Donald Whiting is a respected physician-leader that is passionate about changing the way health care is delivered.
Donald has authored over 60 scientific articles and chapters in medical textbooks and various publications such as The Journal of Neurosurgery & Current Concepts in Movement Disorder Management. He is an active member in many of his field's leading professional and scientific organizations, including the Congress of Neurological Surgeons, the American Association of Neurological Surgeons, and the American Society of Stereotactic and Functional Neurosurgery.
It's no wonder Donald Whiting has been the annual recipient of "Top Doctor/Surgeon" awards on both local and national levels. He is regarded as one of the nation's foremost experts in the use of deep-brain stimulation to control the debilitating motor symptoms of patients with Parkinson's disease and other movement disorders, helping establish Allegheny General Hospital in Pittsburgh, Pennsylvania as one of the top centers in the world for DBS treatment. His sub-specialties include complex spine surgery, disc replacement/motion preservation spine surgery, the surgical treatment of movement disorders and Neurosurgical management of pain.
In his spare time, he enjoys spending time with his family, making pizza and wine.

Nestor D. Tomycz MD was born and raised in Flint, MI. He graduated from Harvard College summa cum laude in chemistry in 2001 and earned his MD from Harvard Medical School in 2005. His general surgery internship and neurosurgery residency were completed at the University of Pittsburgh Medical Center and he completed a fellowship in functional and stereotactic neurosurgery at Allegheny General Hospital under Dr. Donald Whitin

Contenu

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.