Author	LeMoyne, Robert. author. Author. http://id.loc.gov/vocabulary/relators/aut
Title	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
Imprint	Singapore : Springer Singapore : Imprint: Springer, 2019
Edition	1st ed. 2019
Connect to	https://doi.org/10.1007/978-981-13-5808-1
Descript	XV, 128 p. 52 illus. online resource

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

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

1. Telecommunication
2. Neurology
3. Human physiology
4. Computer science
5. Communications Engineering
6. Networks. http://scigraph.springernature.com/things/product-market-codes/T24035
7. Neurology. http://scigraph.springernature.com/things/product-market-codes/H36001
8. Human Physiology. http://scigraph.springernature.com/things/product-market-codes/B13004
9. User Interfaces and Human Computer Interaction. http://scigraph.springernature.com/things/product-market-codes/I18067