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Technology in Parkinson's disease: Challenges and opportunities.

Technology in Parkinson's disease: Challenges and opportunities.

http://www.wikidata.org/entity/Q38820246

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Making sense of big data in health research: Towards an EU action plan Prolonged Walking with a Wearable System Providing Intelligent Auditory Input in People with Parkinson's Disease Global, Yet Incomplete Overview of Cohort Studies in Parkinson's disease.Biometric Digital Health Technology for Measuring Motor Function in Parkinson's Disease: Results from a Feasibility and Patient Satisfaction Study Developing a Curriculum for Information and Communications Technology Use in Global Health Research and Training: A Qualitative Study Among Chinese Health Sciences Graduate Students Technologies Assessing Limb Bradykinesia in Parkinson's Disease.A clinical view on the development of technology-based tools in managing Parkinson's disease.Parkinson's disease, antiparkinson medicines, and driving.Integrating Patient Concerns into Parkinson's Disease Management.Classification of advanced stages of Parkinson's disease: translation into stratified treatments.Moving Parkinson care to the home.The Parkinson Care Advocate: Integrating Care Delivery.Editorial: Sound, Music, and Movement in Parkinson's Disease.Wearable sensors objectively measure gait parameters in Parkinson's disease.A Perspective on Wearable Sensor Measurements and Data Science for Parkinson's Disease.External input for gait in people with Parkinson's disease with and without freezing of gait: One size does not fit all.Feasibility of large-scale deployment of multiple wearable sensors in Parkinson's disease.Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease.Objective Assessment of Bradykinesia Estimated from the Wrist Extension in Older Adults and Patients with Parkinson's Disease.App-Based Bradykinesia Tasks for Clinic and Home Assessment in Parkinson's Disease: Reliability and Responsiveness.Wearables in epilepsy and Parkinson's disease-A focus group study.Advances in sensor and wearable technologies for Parkinson's disease.Turn Around Freezing: Community-Living Turning Behavior in People with Parkinson's Disease.Wearable sensors for clinical applications in epilepsy, Parkinson's disease, and stroke: a mixed-methods systematic review.What is Functional Mobility Applied to Parkinson's Disease?Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.Could Wearable and Mobile Technology Improve the Management of Essential Tremor?Pupillary Response to Cognitive Demand in Parkinson's Disease: A Pilot Study.Sensor-based gait analysis in atypical parkinsonian disorders.An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring Multiple Wearable Sensors in Parkinson and Huntington Disease Individuals: A Pilot Study in Clinic and at Home Parkinson's Disease Biomarkers: Where Are We and Where Do We Go Next?Optical Hand Tracking: A Novel Technique for the Assessment of Bradykinesia in Parkinson's Disease Precision Medicine in Parkinson's Disease - Exploring Patient-Initiated Self-Tracking

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P2860

Technology in Parkinson's disease: Challenges and opportunities.

http://www.wikidata.org/entity/Q38820246

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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Technology in Parkinson's disease: Challenges and opportunities.

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Technology in Parkinson's disease: Challenges and opportunities.

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Technology in Parkinson's disease: Challenges and opportunities.

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Movement Disorders

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Technology in Parkinson's disease: Challenges and opportunities.

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Alberto J Espay

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Anita Kamondi

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Bjoern M Eskofier

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E Ray Dorsey

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Fatta B Nahab

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Fay Horak

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Georgia Mitsi

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Jeffery M Hausdorff

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Jochen Klucken

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Joe Giuffrida

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P2860

Wearable sensor use for assessing standing balance and walking stability in people with Parkinson's disease: a systematic review

Fully Automated Assessment of the Severity of Parkinson's Disease from Speech.

Autonomous identification of freezing of gait in Parkinson's disease from lower-body segmental accelerometry.

Role of body-worn movement monitor technology for balance and gait rehabilitation

Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study.

Quantitative home-based assessment of Parkinson's symptoms: the SENSE-PARK feasibility and usability study.

Objective assessment of fall risk in Parkinson's disease using a body-fixed sensor worn for 3 days.

Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms

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

Quantitative measurement of motor symptoms in Parkinson's disease: a study with full-body motion capture data.

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1272-1282

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scholarly article

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10.1002/MDS.26642

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9

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31

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Alice Nieuwboer

Aristide Merola

Jean-Francois Daneault

Bastiaan R Bloem

Walter Maetzler

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2016-04-29T00:00:00Z

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301738042

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27125836

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Parkinson's disease

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5014594

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