Cargando…

A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor

BACKGROUND: Ordinal scales based on qualitative observation are the mainstay in the clinical assessment of tremor, but are limited by inter-rater reliability, measurement precision, range, and ceiling effects. Quantitative tremor evaluation is well-developed in research, but clinical application has...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gauthier-Lafreniere, Etienne, Aljassar, Meshal, Rymar, Vladimir V., Milton, John, Sadikot, Abbas F.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroinformatics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386269/ https://www.ncbi.nlm.nih.gov/pubmed/35991289 http://dx.doi.org/10.3389/fninf.2022.878279

Ejemplares similares

Tremor evaluation using smartphone accelerometry in standardized settings
por: Sahin, Gürdal, et al.
Publicado: (2022)

Development and Validation of a Semi-Automated, Preclinical, MRI-Template Based PET Image Data Analysis Tool for Rodents
por: Schadt, Fabian, et al.
Publicado: (2021)

Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling
por: Okamoto, Naoki, et al.
Publicado: (2021)

Reproducibility of cerebellar involvement as quantified by consensus structural MRI biomarkers in advanced essential tremor
por: Wang, Qing, et al.
Publicado: (2023)

Modular Organization of Brain Resting State Networks in Chronic Back Pain Patients
por: Balenzuela, Pablo, et al.
Publicado: (2010)

Models of the Aging Brain Structure and Individual Decline
por: Ziegler, Gabriel, et al.
Publicado: (2012)

Neuromantic – from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology
por: Myatt, Darren R., et al.
Publicado: (2012)

PyXNAT: XNAT in Python
por: Schwartz, Yannick, et al.
Publicado: (2012)

A Mutual Information Approach to Automate Identification of Neuronal Clusters in Drosophila Brain Images
por: Masse, Nicolas Y., et al.
Publicado: (2012)

The Clinical Assessment and Remote Administration Tablet
por: Turner, Jessica A., et al.
Publicado: (2011)

Tools for Brain-Computer Interaction: A General Concept for a Hybrid BCI
por: Müller-Putz, Gernot R., et al.
Publicado: (2011)

Conditional Mutual Information Maps as Descriptors of Net Connectivity Levels in the Brain
por: Salvador, Raymond, et al.
Publicado: (2010)

Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks
por: Naveros, Francisco, et al.
Publicado: (2018)

APPIAN: Automated Pipeline for PET Image Analysis
por: Funck, Thomas, et al.
Publicado: (2018)

Data Driven Classification Using fMRI Network Measures: Application to Schizophrenia
por: Moghimi, Pantea, et al.
Publicado: (2018)

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
por: Hazan, Hananel, et al.
Publicado: (2018)

Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential
por: Park, Seonghun, et al.
Publicado: (2021)

Comparative Study of Multi-Delay Pseudo-Continuous Arterial Spin Labeling Perfusion MRI and CT Perfusion in Ischemic Stroke Disease
por: Xu, Xi, et al.
Publicado: (2021)

Dissociable Neural Representations of Adversarially Perturbed Images in Convolutional Neural Networks and the Human Brain
por: Zhang, Chi, et al.
Publicado: (2021)

Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy
por: Li, Dong, et al.
Publicado: (2022)

BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure
por: Zwiers, Marcel Peter, et al.
Publicado: (2022)

Assessing the Reliability of Template-Based Clustering for Tractography in Healthy Human Adults
por: Kai, Jason, et al.
Publicado: (2022)

LaminaRGeneVis: A Tool to Visualize Gene Expression Across the Laminar Architecture of the Human Neocortex
por: Kim, Ethan H., et al.
Publicado: (2022)

Time-Frequency Representations of Brain Oscillations: Which One Is Better?
por: Bârzan, Harald, et al.
Publicado: (2022)

The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research
por: Mohammadian Foroushani, Hossein, et al.
Publicado: (2021)

Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities
por: Shao, Yuan, et al.
Publicado: (2021)

Recognition of Electroencephalography-Related Features of Neuronal Network Organization in Patients With Schizophrenia Using the Generalized Choquet Integrals
por: Plechawska-Wójcik, Małgorzata, et al.
Publicado: (2021)

Providing Evidence for the Null Hypothesis in Functional Magnetic Resonance Imaging Using Group-Level Bayesian Inference
por: Masharipov, Ruslan, et al.
Publicado: (2021)

Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques
por: Casanova, Ramon, et al.
Publicado: (2021)

Panama: An Open-Source Educational App for Ion Channel Biophysics Simulation
por: Rajbanshi, Binita, et al.
Publicado: (2022)

Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia
por: Park, Bumhee, et al.
Publicado: (2022)

A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data
por: Ellis, Charles A., et al.
Publicado: (2022)

Expected affine: A registration method for damaged section in serial sections electron microscopy
por: Xin, Tong, et al.
Publicado: (2022)

Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization
por: Yang, Xiao, et al.
Publicado: (2022)

Robin’s Viewer: Using deep-learning predictions to assist EEG annotation
por: Weiler, Robin, et al.
Publicado: (2023)

bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease
por: Li, Yupeng, et al.
Publicado: (2023)

Brain-Computer Interface using neural network and temporal-spectral features
por: Wang, Gan, et al.
Publicado: (2022)

Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine
por: Li, Yupeng, et al.
Publicado: (2022)

Diagnosis of orthostatic tremor using smartphone accelerometry
por: Calvo, Nicholas E., et al.
Publicado: (2021)

Quantification of tremor using consumer product accelerometry is feasible in patients with essential tremor and Parkinson’s disease: a comparative study
por: van Brummelen, Emilie M. J., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_6id80qjfsgss9fhaj0fpie8l7t