Adaptation of dynamical properties of time series data and its applications in deep brain stimulation

2020 ◽  
Vol 99 (4) ◽  
pp. 3231-3251
Author(s):  
Syed Aamir Ali Shah ◽  
Abdul Bais ◽  
Lei Zhang
Keyword(s):  
Time Series ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Time Series Data ◽  
Series Data ◽  
Dynamical Properties ◽  
Deep Brain

scholarly journals The Role of Large-Scale Data Infrastructure in Developing Next-Generation Deep Brain Stimulation Therapies

2021 ◽  
Vol 15 ◽  
Author(s):  
Witney Chen ◽  
Lowry Kirkby ◽  
Miro Kotzev ◽  
Patrick Song ◽  
Ro’ee Gilron ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Large Scale ◽  
Time Series Data ◽  
Series Data ◽  
Next Generation ◽  
Data Infrastructure ◽  
Large Scale Data ◽  
Scale Data ◽  
Deep Brain

Advances in neuromodulation technologies hold the promise of treating a patient’s unique brain network pathology using personalized stimulation patterns. In service of these goals, neuromodulation clinical trials using sensing-enabled devices are routinely generating large multi-modal datasets. However, with the expansion of data acquisition also comes an increasing difficulty to store, manage, and analyze the associated datasets, which integrate complex neural and wearable time-series data with dynamic assessments of patients’ symptomatic state. Here, we discuss a scalable cloud-based data platform that enables ingestion, aggregation, storage, query, and analysis of multi-modal neurotechnology datasets. This large-scale data infrastructure will accelerate translational neuromodulation research and enable the development and delivery of next-generation deep brain stimulation therapies.

scholarly journals Brief Communication: Breeding vectors in the phase space reconstructed from time series data

2015 ◽  
Vol 2 (4) ◽  
pp. 1301-1315
Author(s):  
E. Lynch ◽  
D. Kaufman ◽  
A. S. Sharma ◽  
E. Kalnay ◽  
K. Ide
Keyword(s):  
Time Series ◽  
Phase Space ◽  
Evolution Equations ◽  
Nearest Neighbor ◽  
Time Series Data ◽  
Series Data ◽  
Nonlinear Instability ◽  
Bred Vectors ◽  
Dynamical Properties ◽  
A New Technique

Abstract. Bred vectors characterize the nonlinear instability of dynamical systems and so far have been computed only for systems with known evolution equations. In this article, bred vectors are computed from a single time series data using time-delay embedding, with a new technique, nearest-neighbor breeding. Since the dynamical properties of the standard and nearest-neighbor breeding are shown to be similar, this provides a new and novel way to model and predict sudden transitions in systems represented by time series data alone.

scholarly journals Brief Communication: Breeding vectors in the phase space reconstructed from time series data

2016 ◽  
Vol 23 (3) ◽  
pp. 137-141 ◽  
Author(s):  
Erin Lynch ◽  
Daniel Kaufman ◽  
A. Surjalal Sharma ◽  
Eugenia Kalnay ◽  
Kayo Ide
Keyword(s):  
Time Series ◽  
Phase Space ◽  
Evolution Equations ◽  
Nearest Neighbor ◽  
Time Series Data ◽  
Series Data ◽  
Nonlinear Instability ◽  
Bred Vectors ◽  
Dynamical Properties ◽  
A New Technique

Abstract. Bred vectors characterize the nonlinear instability of dynamical systems and so far have been computed only for systems with known evolution equations. In this article, bred vectors are computed from a single time series data using time-delay embedding, with a new technique, nearest-neighbor breeding. Since the dynamical properties of the standard and nearest-neighbor breeding are shown to be similar, this provides a new and novel way to model and predict sudden transitions in systems represented by time series data alone.

Nicht-medikamentöse Optionen zur Behandlung pharmakoresistenter Epilepsien

2018 ◽  
Vol 75 (7) ◽  
pp. 448-454
Author(s):  
Thomas Grunwald ◽  
Judith Kröll
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Tiefe Hirnstimulation ◽  
Ketogene Diät ◽  
Deep Brain

Zusammenfassung. Wenn mit den ersten beiden anfallspräventiven Medikamenten keine Anfallsfreiheit erzielt werden konnte, so ist die Wahrscheinlichkeit, dies mit anderen Medikamenten zu erreichen, nur noch ca. 10 %. Es sollte dann geprüft werden, warum eine Pharmakoresistenz besteht und ob ein epilepsiechirurgischer Eingriff zur Anfallsfreiheit führen kann. Ist eine solche Operation nicht möglich, so können palliative Verfahren wie die Vagus-Nerv-Stimulation (VNS) und die tiefe Hirnstimulation (Deep Brain Stimulation) in eine bessere Anfallskontrolle ermöglichen. Insbesondere bei schweren kindlichen Epilepsien stellt auch die ketogene Diät eine zu erwägende Option dar.

The Effect of Deep Brain Stimulation for Movement Disorders on Emotions

2008 ◽  
Author(s):  
Jonathan D. Richards ◽  
Paul M. Wilson ◽  
Pennie S. Seibert ◽  
Carin M. Patterson ◽  
Caitlin C. Otto ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Movement Disorders ◽  
Deep Brain

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Deep Brain Stimulation Improves Medication Related Addictive Behavior and Associated Quality of Life

2009 ◽  
Author(s):  
Hunter Covert ◽  
Pennie S. Seibert ◽  
Caitlin C. Otto ◽  
Missy Coblentz ◽  
Nicole Whitener ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Addictive Behavior ◽  
Deep Brain
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