Work

Activity Recognition in Parkinson's Patients from Motion Data Using a CNN Model Trained by Healthy Subjects

Year: 2022

Type: conference-paper

Source: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

DOI: 10.1109/embc48229.2022.9871181

Authors: Shelly Davidashvilly, Murtadha Hssayeni, Christopher Chi, Joohi Jimenez-Shahed, Behnaz Ghoraani

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: closed

Funders: National Science Foundation, National Institutes of Health, National Institute of Neurological Disorders and Stroke

Awards: CCSS: Discovery of Individualized Disease Features for Personalized Health Monitoring, Kinesia-D: Ambulatory Parkinson's Disease Dyskinesia Monitor for Drug Therapy Tit

OpenAlex ID: W4294975224

FWCI: 0.907

Cites: 12

Cited by: 11

Related to: 10