Work

Mobile-based multi-dimensional data collection for Parkinson’s symptoms in home environments

Year: 2022

Type: conference-paper

Abstract: We extended the Mobistudy app for clinical research in order to gather data about Parkinson’s motor and non-motor symptoms. We developed 5 tests that make use of the phone’s embedded sensors and 3 questionnaires. We show through data collected by healthy individuals simulating PD symptoms that the tests are able to identify the presence of symptoms.

Source: KTH Publication Database DiVA (KTH Royal Institute of Technology)

Authors: Ymeri, Gent, Salvi, Dario, Olsson, Carl Magnus, Thanasis, Tsanas, Svenningsson, Per

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7058502896

FWCI:

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Related to: 10