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Wearable and Wireless Systems for He...
~
Tomycz, Nestor.
Wearable and Wireless Systems for Healthcare II = Movement Disorder Evaluation and Deep Brain Stimulation Systems /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Wearable and Wireless Systems for Healthcare II/ by Robert LeMoyne, Timothy Mastroianni, Donald Whiting, Nestor Tomycz.
Reminder of title:
Movement Disorder Evaluation and Deep Brain Stimulation Systems /
Author:
LeMoyne, Robert.
other author:
Mastroianni, Timothy.
Description:
XV, 128 p. 52 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Electrical engineering. -
Online resource:
https://doi.org/10.1007/978-981-13-5808-1
ISBN:
9789811358081
Wearable and Wireless Systems for Healthcare II = Movement Disorder Evaluation and Deep Brain Stimulation Systems /
LeMoyne, Robert.
Wearable and Wireless Systems for Healthcare II
Movement Disorder Evaluation and Deep Brain Stimulation Systems /[electronic resource] :by Robert LeMoyne, Timothy Mastroianni, Donald Whiting, Nestor Tomycz. - 1st ed. 2019. - XV, 128 p. 52 illus.online resource. - Smart Sensors, Measurement and Instrumentation,312194-8402 ;. - Smart Sensors, Measurement and Instrumentation,12.
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.
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 using the wireless accelerometer and gyroscope of a smartphone to determine tuning efficacy. The perspective of the book ranges from the pioneering application of these devices, such as the smartphone, for quantifying Parkinson’s disease and Essential tremor characteristics, to the current state of the art. Dr. LeMoyne has published multiple first-of-their-kind applications using smartphones to quantify movement disorder, with associated extrapolation to portable media devices.
ISBN: 9789811358081
Standard No.: 10.1007/978-981-13-5808-1doiSubjects--Topical Terms:
596380
Electrical engineering.
LC Class. No.: TK1-9971
Dewey Class. No.: 621.382
Wearable and Wireless Systems for Healthcare II = Movement Disorder Evaluation and Deep Brain Stimulation Systems /
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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.
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