Parkinsons Disease Detection by Using Machine Learning Algorithms and Hand Movement Signal From LeapMotion Sensor
This work is devoted to the detection of Parkinson's disease (PD) by the kinematic parameters of hand movements using machine learning methods. Hand movements of PD patients (N16) and control group (N16) were recorded using a Leap Motion sensor. Three motor tasks were chosen based on MDS-UPDRS...
Main Authors: | Anastasia Moshkova, Andrey Samorodov, Natalia Voinova, Alexander Volkov, Ekaterina Ivanova, Ekaterina Fedotova |
---|---|
Format: | Article |
Language: | English |
Published: |
FRUCT
2020-04-01
|
Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
Subjects: | |
Online Access: | https://www.fruct.org/publications/fruct26/files/Mos.pdf |
Similar Items
-
Objective and automatic classification of Parkinson disease with Leap Motion controller
by: A. H. Butt, et al.
Published: (2018-11-01) -
Robotic Arm Controlled By Hand Gesture Using Leap Motion
by: Rahat Ali Khan, et al.
Published: (2019-07-01) -
Studying Facial Activity in Parkinson's Disease Patients Using an Automated Method and Video Recording
by: Anastasia Moshkova, et al.
Published: (2021-01-01) -
Facial Emotional Expression Assessment in Parkinson's Disease by Automated Algorithm Based on Action Units
by: Anastasia Moshkova, et al.
Published: (2020-09-01) -
Robotic Arm Controlled By Hand Gesture Using Leap Motion
by: RAHAT ALI KHAN, et al.
Published: (2019-07-01)