Advances in Parkinson's Disease

Advances in Parkinson's Disease

ISSN Print: 2169-9712
ISSN Online: 2169-9720
www.scirp.org/journal/apd
E-mail: apd@scirp.org
"Wireless accelerometer configuration for monitoring Parkinson’s disease hand tremor"
written by Robert LeMoyne, Timothy Mastroianni, Warren Grundfest,
published by Advances in Parkinson's Disease, Vol.2 No.2, 2013
has been cited by the following article(s):
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[10] Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data
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[11] The Evaluation of the Tremor: Signal Database of Healthy Control Subjects
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[12] Big data in Parkinson's disease: using smartphones to remotely detect longitudinal disease phenotypes
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[14] Procesamiento y análisis de señales biomecánicas adquiridas por redes de sensores
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[18] Algoritmo de detección de caídas en un sistema embebido
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[19] Sistema de Adquisición y Caracterización de Temblor de la Enfermedad de Parkinson en Extremidades Superiores Mediante Acelerometría
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[20] Evaluación del Movimiento a través de Acelerometría en Pacientes con Enfermedad de Parkinson
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[21] Smartphone and portable media device: a novel pathway toward the diagnostic characterization of human movement
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[26] Telemedicine Perspectives for Wearable and Wireless Applications Serving the Domain of Neurorehabilitation and Movement Disorder Treatment
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[29] Development of a MEMS Accelerometer based Hand Tremor Stabilization Platform
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[30] Implementation of a smartphone as a wireless gyroscope platform for quantifying reduced arm swing in hemiplegie gait with machine learning classification by …
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[31] Trends and New Advances on Wearable and Mobile Technologies for Parkinson's Disease Monitoring and Assessment of Motor Symptoms: How New Technologies …
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[33] Development of MEMS Accelerometer based Hand Tremor Stabilization Platform
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[34] Development of an acquisition and visualization of forearm tremors and pronation/supination motor activities in a smartphone based environment for an early …
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[35] Use of smartphones and portable media devices for quantifying human movement characteristics of gait, tendon reflex response, and Parkinson's disease hand tremor
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[36] Quantitative assessment of forearm pronation/supination motor functions using a smartphone accelerometer for an early diagnosis of Parkinson's
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[39] Technologies for Assessment of Motor Disorders in Parkinson's Disease: A Review
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[40] A Smartphone-based Tool for Assessing Parkinsonian Hand Tremor
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[41] Implementation of a smartphone wireless accelerometer platform for establishing deep brain stimulation treatment efficacy of essential tremor with machine learning
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[42] Design and realization of measuring device for tremor evaluation
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[43] Wearable multimodal sensors for evaluation of patients with Parkinson disease
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[44] Development of an acquisition and visualization of forearm tremors and pronation/supination motor activities in a smartphone based environment for an …
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[45] A literature review on the vehicle routing problem with multiple depots
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[46] Development of an intelligent exercise platform for rehabilitation in Parkinson's disease
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[47] Smartphone-based Evaluation of Movement Disorders: Quantitative Measurements vs Clinical Assessment Scores
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[48] Monitoring of rehabilitation process via gyro and accelerometer sensor
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[49] Smartphone-based evaluation of parkinsonian hand tremor: Quantitative measurements vs clinical assessment scores
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[50] The survey and analysis of sportsâ   influence on teenagersâ   bone mineral density and bone metabolism
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[51] Miniature multisensor biosignal data recorder and its evaluation for unsupervised Parkinson's disease data collection
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