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Unobtrusive detection of Parkinson’s disease from multi-modal and in-the-wild sensor data using deep learning techniques

PaperCitations, authors & open-access status

Unobtrusive detection of Parkinson’s disease from multi-modal and in-the-wild sensor data using deep learning techniques is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 52 citations, 2020 year and gold oa status.

52
Citations
2020
Year
gold
OA Status

Related on ScholarIQ

Vasileios Charisis
Author
Scientific Reports
Journal
Parkinson's Disease Mechanisms and Treatments
Topic
Parkinson's Disease Mechanisms and Treatments
Topic
Neurological disorders and treatments
Topic
Autism Spectrum Disorder Research
Topic
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