Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors. - Wikidata - thesis-toulmin - TriplyDB

Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors.

Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors.

http://www.wikidata.org/entity/Q33689217

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Technologies for Assessment of Motor Disorders in Parkinson's Disease: A Review.Energy-efficient context classification with dynamic sensor control.Freezing of gait and fall detection in Parkinson's disease using wearable sensors: a systematic review.Gait disorder rehabilitation using vision and non-vision based sensors: a systematic review.PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease.Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity.Analysis and Visualization of 3D Motion Data for UPDRS Rating of Patients with Parkinson's Disease Machine learning for large-scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures.Correlation of Quantitative Motor State Assessment Using a Kinetograph and Patient Diaries in Advanced PD: Data from an Observational Study.A mobile cloud-based Parkinson's disease assessment system for home-based monitoring.Large-Scale Wearable Sensor Deployment in Parkinson's Patients: The Parkinson@Home Study Protocol.The need to approximate the use-case in clinical machine learning Continuous Monitoring of Essential Tremor Using a Portable System Based on Smartwatch Clinician versus machine: reliability and responsiveness of motor endpoints in Parkinson's disease Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results.A telemedicine instrument for remote evaluation of tremor: design and initial applications in fatigue and patients with Parkinson's disease Unbiased and mobile gait analysis detects motor impairment in Parkinson's disease A wearable inertial measurement unit for long-term monitoring in the dependency care area.Validation of a portable device for mapping motor and gait disturbances in Parkinson's disease.Feasibility of home-based automated Parkinson's disease motor assessment.Clinicians' Tendencies to Under-Rate Parkinsonian Tremors in the Less Affected Hand.A new myohaptic instrument to assess wrist motion dynamically.Recommended number of strides for automatic assessment of gait symmetry and regularity in above-knee amputees by means of accelerometry and autocorrelation analysis Quantitative assessment of parkinsonian bradykinesia based on an inertial measurement unit.Automatic assessment of the motor state of the Parkinson's disease patient--a case study.Assessing Motor Fluctuations in Parkinson's Disease Patients Based on a Single Inertial Sensor Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit Enabling breakthroughs in Parkinson's disease with wearable technologies and big data analytics.Feature visualization and classification for the discrimination between individuals with Parkinson's disease under levodopa and DBS treatments.Feasibility study of a wearable system based on a wireless body area network for gait assessment in Parkinson's disease patients Neurological tremor: sensors, signal processing and emerging applications.Smart health monitoring systems: an overview of design and modeling.Technical and clinical view on ambulatory assessment in Parkinson's disease.Wearable sensor-based objective assessment of motor symptoms in Parkinson's disease.Technology in Parkinson's disease: Challenges and opportunities.Intraoperative acceleration measurements to quantify improvement in tremor during deep brain stimulation surgery.Inertial sensing to determine movement disorder motion present before and after treatment.Wearable Sensors in Huntington Disease: A Pilot Study.Clinical Parameters and Tools for Home-Based Assessment of Parkinson's Disease: Results from a Delphi study.Analysis of Correlation between an Accelerometer-Based Algorithm for Detecting Parkinsonian Gait and UPDRS Subscales.

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Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors.

http://www.wikidata.org/entity/Q33689217

description

2009 nî lūn-bûn

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2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

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2009 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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name

Monitoring motor fluctuations ...... isease using wearable sensors.

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Monitoring motor fluctuations ...... isease using wearable sensors.

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Monitoring motor fluctuations ...... isease using wearable sensors.

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Monitoring motor fluctuations ...... isease using wearable sensors.

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Monitoring motor fluctuations ...... isease using wearable sensors.

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Monitoring motor fluctuations ...... isease using wearable sensors.

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TITB.2009.2033471

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IEEE Transactions on Information Technology in Biomedicine

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Monitoring motor fluctuations ...... isease using wearable sensors.

@en

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Jennifer Dy

http://www.w3.org/2001/XMLSchema#string

John Growdon

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Konrad Lorincz

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Matt Welsh

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Metin Akay

http://www.w3.org/2001/XMLSchema#string

Nancy Huggins

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Paolo Bonato

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Richard Hughes

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Shyamal Patel

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P2860

A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation

Advances in wearable technology and applications in physical medicine and rehabilitation

Parkinson's disease. First of two parts

Data mining techniques to detect motor fluctuations in Parkinson's disease.

Accelerometric assessment of levodopa-induced dyskinesias in Parkinson's disease.

Levodopa motor complications in Parkinson's disease.

Levodopa, motor fluctuations and dyskinesia in Parkinson's disease.

Portable system for quantifying motor abnormalities in Parkinson's disease.

Parkinson's disease. Second of two parts.

Vital signs monitoring and patient tracking over a wireless network.

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864-873

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scholarly article

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10.1109/TITB.2009.2033471

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6

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13

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David G. Standaert

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2009-10-20T00:00:00Z

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38027267

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19846382

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Parkinson's disease

wearable technology

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5432434

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