20th International Congress » Technology
Date: Tuesday, June 21, 2016
Time: 12:30pm-2:00pm
Location: Exhibit Hall located in Hall B, Level 2
Session Type: Poster Session
Meeting: 20th International Congress
- 12:30pm-2:00pm
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A validation study of a smartphone-based finger tapping application for quantitative assessment of bradykinesia in Parkinson’s disease
- 12:30pm-2:00pm
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Analysis of temporal gait features extracted from accelerometer-based signals during ambulatory walking in Parkinson’s disease
- 12:30pm-2:00pm
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Can body worn cameras help us understand the complex relationship between physical activity and falls in people with Parkinson’s?
- 12:30pm-2:00pm
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Diagnostic sensitivity and remote monitoring of motor and non-motor dysfunction in Parkinson’s disease
- 12:30pm-2:00pm
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Evaluating Parkinsonian motor features via the routine use of consumer electronics – neuroQWERTY
- 12:30pm-2:00pm
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Evaluation of kinematic parameters of potential clinical use extracted from Microsoft Kinect V2 motor assessments
- 12:30pm-2:00pm
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Monitoring dyskinesia severity using wearable sensor data
- 12:30pm-2:00pm
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mPower: A smartphone-based study of Parkinson’s disease provides personalized measures of disease impact
- 12:30pm-2:00pm
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Objective data in Parkinson’s disease therapy management – A retrospective analysis of the Parkinson’s kinetigraph (PKG) database
- 12:30pm-2:00pm
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Prescribed gait tests versus continuous monitoring of gait in people with Parkinson’s disease
- 12:30pm-2:00pm
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Quantification of postural stability in Parkinson’s disease patients utilizing mobile technology
- 12:30pm-2:00pm
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Quantitative assessment of advanced therapies in Parkinson’s disease using the Parkinson kinetigraph (PKG)
- 12:30pm-2:00pm
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Reliability and responsiveness of in-clinic and at-home app-based bradykinesia assessment
- 12:30pm-2:00pm
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Survey of telemedicine use among MDS members
- 12:30pm-2:00pm
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Technology use habits and preferences of a population with Parkinson’s disease and their care partners
- 12:30pm-2:00pm
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Testing feasibility and utility of remote data capture technology to assess Parkinson’s disease
- 12:30pm-2:00pm
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Wrist reveals the fall risk in activities of daily living