Wearable and Wireless Systems for Healthcare II Movement Disorder Evaluation and Deep Brain Stimulation Systems /

• Κύριοι συγγραφείς: LeMoyne, Robert (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Mastroianni, Timothy (http://id.loc.gov/vocabulary/relators/aut), Whiting, Donald (http://id.loc.gov/vocabulary/relators/aut), Tomycz, Nestor (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Smart Sensors, Measurement and Instrumentation, 31
• Θέματα: Electrical engineering.; Neurology .; Human physiology.; User interfaces (Computer systems).; Communications Engineering, Networks.; Neurology.; Human Physiology.; User Interfaces and Human Computer Interaction.

This book provides a far-sighted perspective on the role of wearable and wireless systems for movement disorder evaluation, such as Parkinson's disease and Essential tremor. These observations are brought together in the application of quantified feedback for deep brain stimulation systems usin...

Πίνακας περιεχομένων:

• 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 disorder and 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.