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1. The Gut Dysmotility Questionnaire for Parkinson's disease: Insights into development and pretest studies

2. Parkinson’s Disease Patients Classification Based on a Motion Tracking Methodology

3. Parkinson’s Disease Detection Based on Running Speech Data From Phone Calls

4. Discovering the Discriminating Power in Patient Test Features Using Visual Analytics: A Case Study in Parkinson’s Disease

5. Novel Cell-Based Assay for Alpha-3 Nicotinic Receptor Antibodies Detects Antibodies Exclusively in Autoimmune Autonomic Ganglionopathy

6. Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson’s Disease

7. Motion Analysis on Depth Camera Data to Quantify Parkinson’s Disease Patients’ Motor Status Within the Framework of I-Prognosis Personalized Game Suite

9. Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm

10. Smartwatch-based Activity Analysis During Sleep for Early Parkinson’s Disease Detection

11. Innovative interventions for Parkinson's disease patients using iPrognosis games

13. Upper Extremity Motor Symptoms’ Severity Estimation with Ecologically Valid Data Arising from Smartphone Touchscreen (1291)

14. Early Parkinson’s Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks

20. Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-the-Wild

21. The cortical excitability profile of patients with the G209A SNCA mutation versus patients with sporadic Parkinson's disease: A transcranial magnetic stimulation study

24. Parkinson’s Disease Questionnaire--Italian Version

25. A multimodal dataset for authoring and editing multimedia content: The MAMEM project

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