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):
  • Google Scholar
  • CrossRef
[1] Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants' Well-being: Ecological Momentary Assessment
Journal of Medical Internet …, 2022
[2] Classification of extremity movements by visual observation of signals and their transforms
MethodsX, 2022
[3] Internet de las cosas en el ámbito de la atención médica: tendencias y desafíos
Revista Cubana de Informática …, 2022
[4] Monitorización de la enfermidad de Parkinson mediante sensores vestibles
2021
[5] An Evolutionary Perspective for Network Centric Therapy through Wearable and Wireless Systems for Reflex, Gait, and Movement Disorder Assessment with …
2021
[6] TremorSense: Tremor Detection for Parkinson's Disease Using Convolutional Neural Network
2021 IEEE/ACM …, 2021
[7] Applied Software Development with Python & Machine Learning by Wearable & Wireless Systems for Movement Disorder Treatment via Deep Brain …
2021
[8] Parametric evaluation of deep brain stimulation parameter configurations for Parkinson's disease using a conformal wearable and wireless inertial sensor system and …
2020
[9] Detection of Parkinson's Disease through Smell Signatures
2020
[10] Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson's disease
2020
[11] Traditional Ordinal Strategies for Establishing the Severity and Status of Movement Disorders, Such as Parkinson's Disease and Essential Tremor
2019
[12] A low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson's disease
2019
[13] Movement Disorders: Parkinson's Disease and Essential Tremor—A General Perspective
2019
[14] Preliminary Wearable and Locally Wireless Systems for Quantification of Parkinson's Disease and Essential Tremor Characteristics
2019
[15] Wearable and Wireless Systems for Movement Disorder Evaluation and Deep Brain Stimulation Systems
2019
[16] Evaluation of Machine Learning Algorithms for Classifying Deep Brain Stimulation Respective of 'On'and 'Off'Status
2019
[17] Cognitive health care system and its application in pill‐rolling assessment
2019
[18] Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data
2019
[19] The Evaluation of the Tremor: Signal Database of Healthy Control Subjects
World Congress on Medical Physics and Biomedical Engineering 2018, 2019
[20] Big data in Parkinson's disease: using smartphones to remotely detect longitudinal disease phenotypes
Physiological Measurement, 2018
[21] Probabilistic Methods for Analyzing and Measuring Tremor in Humans
2018
[22] Procesamiento y análisis de señales biomecánicas adquiridas por redes de sensores
2018
[23] Dispositivo electrónico para la adquisición de señales asociadas a la enfermedad de parkinson (EP)
2018
[24] Trends and New Advances on Wearable and Mobile Technologies for Parkinson's Disease Monitoring and Assessment of Motor Symptoms: How New Technologies …
Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions, 2018
[25] Parkinson's disease prediction based on hand tremor analysis
2017
[26] Algoritmo de detección de caídas en un sistema embebido
2017
[27] Sistema de Adquisición y Caracterización de Temblor de la Enfermedad de Parkinson en Extremidades Superiores Mediante Acelerometría
2017
[28] Evaluación del Movimiento a través de Acelerometría en Pacientes con Enfermedad de Parkinson
2017
[29] Smartphone and portable media device: a novel pathway toward the diagnostic characterization of human movement
Smartphones From An Applied Research Perspective, 2017
[30] Development of an assessment method of forearm pronation/supination motor function based on mobile phone accelerometer data for an early diagnosis of …
International Journal of Bio-Science and Bio-Technology, 2016
[31] A holistic approach to assess the feasability of telehealth for Parkinson's disease management
2016
[32] Implementation of a smartphone as a wireless gyroscope platform for quantifying reduced arm swing in hemiplegie gait with machine learning classification by …
2016
[33] Differential analysis of muscle fatigue induced elbow and wrist tremor in controlled laparoscopic manoeuvring
The International Journal of Medical Robotics and Computer Assisted Surgery, 2016
[34] Telemedicine Perspectives for Wearable and Wireless Applications Serving the Domain of Neurorehabilitation and Movement Disorder Treatment
2016
[35] On the assessment of coordination between upper extremities: towards a common language between rehabilitation engineers, clinicians and neuroscientists
2016
[36] Development of an Assessment Method of Forearm Pronation/Supination Motor Function based on Mobile Phone Accelerometer Data for an Early Diagnosis of Parkinson’s Disease
International Journal of Bio-Science and Bio-Technology, 2016
[37] Development of a MEMS Accelerometer based Hand Tremor Stabilization Platform
International Journal of Biotechnology and Biomedical Sciences , 2016
[38] Implementation of a smartphone as a wireless gyroscope platform for quantifying reduced arm swing in hemiplegie gait with machine learning classification by …
2016
[39] Trends and New Advances on Wearable and Mobile Technologies for Parkinson's Disease Monitoring and Assessment of Motor Symptoms: How New Technologies …
Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions, 2016
[40] A compact monitoring system for patients affected by neurodegenerative diseases
14th IMEKO TC10 Workshop Technical Diagnostics New Perspectives in Measurements, Tools and Techniques for system’s reliability, maintainability and safety, 2016
[41] Development of MEMS Accelerometer based Hand Tremor Stabilization Platform
2016
[42] Development of an acquisition and visualization of forearm tremors and pronation/supination motor activities in a smartphone based environment for an early …
2015
[43] Use of smartphones and portable media devices for quantifying human movement characteristics of gait, tendon reflex response, and Parkinson's disease hand tremor
Mobile Health Technologies, 2015
[44] Quantitative assessment of forearm pronation/supination motor functions using a smartphone accelerometer for an early diagnosis of Parkinson's
2015
[45] Evaluating a Miniature Multisensor Biosignal Recorder for Unsupervised Parkinson's Disease Monitoring
Sensors & Transducers, 2015
[46] Development of an acquisition and visualization of forearm tremors and pronation/supination motor activities in a smartphone based environment for an early diagnosis of Parkinson’s disease
Advanced Science and Technology Letters, 2015
[47] Technologies for Assessment of Motor Disorders in Parkinson's Disease: A Review
Sensors, 2015
[48] A Smartphone-based Tool for Assessing Parkinsonian Hand Tremor
2015
[49] Implementation of a smartphone wireless accelerometer platform for establishing deep brain stimulation treatment efficacy of essential tremor with machine learning
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 2015
[50] Design and realization of measuring device for tremor evaluation
Computational Intelligence for Multimedia Understanding (IWCIM), 2015 International Workshop on, 2015
[51] Wearable multimodal sensors for evaluation of patients with Parkinson disease
2015
[52] Development of an acquisition and visualization of forearm tremors and pronation/supination motor activities in a smartphone based environment for an …
2015
[53] A literature review on the vehicle routing problem with multiple depots
2015
[54] Development of an intelligent exercise platform for rehabilitation in Parkinson's disease
2014
[55] Smartphone-based Evaluation of Movement Disorders: Quantitative Measurements vs Clinical Assessment Scores
IEEE Conference in Engineering in Medicine and Biology, 2014
[56] Monitoring of rehabilitation process via gyro and accelerometer sensor
2014
[57] Smartphone-based evaluation of parkinsonian hand tremor: Quantitative measurements vs clinical assessment scores
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. IEEE, 2014
[58] The survey and analysis of sportsâ   influence on teenagersâ   bone mineral density and bone metabolism
2014
[59] Miniature multisensor biosignal data recorder and its evaluation for unsupervised Parkinson's disease data collection
2014
[60] Exploitation of accelerometer for rehabilitation process
Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on. IEEE, 2013
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top