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Evaluation of Gastric Motility of Parkinson's Disease Patients Based on a Novel Wearable Device and Time-Frequency Analy...

Project: i-PROGNOSIS

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Second version of mobile application suite

Project: i-PROGNOSIS

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Final technical assessment report

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Open research data management plan

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Plan for building i-PROGNOSIS community and network of stakeholders

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First version of SData analysis modules

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Data collection and medical evaluation protocol

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Data acquisition and protection version GS

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i-PROGNOSIS website and media presence

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Moving Towards A Sustainable Management Of Parkinson'S Disease: The I-Prognosis Personalized Game Suite Approach

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Mapping representations of speaker characteristics using deep learning

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Advanced Parkinson's Disease Patients Eat Less Food in Comparison to Early Parkinson's Patients and Healthy Controls in ...

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On supporting Parkinson's disease patients: The i-prognosis personalized game suite design approach

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Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-t...

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Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson’s disease

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On exploring design elements in assistive serious games for Parkinson's disease patients. i-PROGNOSIS exergames paradigm

Project: i-PROGNOSIS

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iPrognosis – frühe Erkennung der Parkinsonerkrankung mittels Smartphone App

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Updated at: 29-04-2024

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Medical evaluation as gold standard to control iPrognosis application derived data for early Parkinson's disease detecti...

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PRELIMINARY RESULTS ON COMPUTERIZED ANALYSIS OF BOWEL SOUNDS CAPTURED FROM A NOVEL WEARABLE DEVICE

Project: i-PROGNOSIS

Updated at: 29-04-2024

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Exergames for Parkinson's Disease patients: how participatory design led to technology adaptation

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Motion Analysis of Parkinson Diseased Patients using a Video Game Approach

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Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data

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Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning

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Multiple-Instance Learning for In-The-Wild Parkinsonian Tremor Detection

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Upper Extremity Motor Symptoms' Severity Estimation with Ecologically Valid Data Arising from Smartphone Touchscreen

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Updated at: 29-04-2024

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SELFIE PHOTO ANALYSIS FOR DETECTING HYPOMIMIA SYMPTOMS IN EARLY STAGE PARKINSON DISEASE (PD)

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Updated at: 29-04-2024

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Active and healthy ageing for Parkinson's disease patients' support: A user's perspective within the i-PROGNOSIS framewo...

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Personalized Game Suite: A unified platform to sustain and improve the Quality of Life of Parkinson’s Disease patients

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On modeling the quality of nutrition for healthy ageing using fuzzy cognitive maps

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Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks

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Updated at: 29-04-2024

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Resources

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Evaluation of Gastric Motility of Parkinson's Disease Patients Based on a Novel Wearable Device and Time-Frequency Analy...

Second version of mobile application suite

Final technical assessment report

Open research data management plan

Plan for building i-PROGNOSIS community and network of stakeholders

First version of SData analysis modules

Data collection and medical evaluation protocol

Data acquisition and protection version GS

i-PROGNOSIS website and media presence

Moving Towards A Sustainable Management Of Parkinson'S Disease: The I-Prognosis Personalized Game Suite Approach

Mapping representations of speaker characteristics using deep learning

Advanced Parkinson's Disease Patients Eat Less Food in Comparison to Early Parkinson's Patients and Healthy Controls in ...

On supporting Parkinson's disease patients: The i-prognosis personalized game suite design approach

Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-t...

Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson’s disease

On exploring design elements in assistive serious games for Parkinson's disease patients. i-PROGNOSIS exergames paradigm

iPrognosis – frühe Erkennung der Parkinsonerkrankung mittels Smartphone App

Medical evaluation as gold standard to control iPrognosis application derived data for early Parkinson's disease detecti...

PRELIMINARY RESULTS ON COMPUTERIZED ANALYSIS OF BOWEL SOUNDS CAPTURED FROM A NOVEL WEARABLE DEVICE

Exergames for Parkinson's Disease patients: how participatory design led to technology adaptation

Motion Analysis of Parkinson Diseased Patients using a Video Game Approach

Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data

Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning

Multiple-Instance Learning for In-The-Wild Parkinsonian Tremor Detection

Upper Extremity Motor Symptoms' Severity Estimation with Ecologically Valid Data Arising from Smartphone Touchscreen

SELFIE PHOTO ANALYSIS FOR DETECTING HYPOMIMIA SYMPTOMS IN EARLY STAGE PARKINSON DISEASE (PD)

Active and healthy ageing for Parkinson's disease patients' support: A user's perspective within the i-PROGNOSIS framewo...

Personalized Game Suite: A unified platform to sustain and improve the Quality of Life of Parkinson’s Disease patients

On modeling the quality of nutrition for healthy ageing using fuzzy cognitive maps

Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks