Automatic, Qualitative Scoring of the Interlocking Pentagon Drawing Test (PDT) Based on U-Net and Mobile Sensor Data

Automatic, Qualitative Scoring of the Interlocking Pentagon Drawing Test (PDT) Based on U-Net and Mobile Sensor Data

We implemented a mobile phone application of the pentagon drawing test (PDT), called mPDT, with a novel, automatic, and qualitative scoring method for the application based on U-Net (a convolutional network for biomedical image segmentation) coupled with mobile sensor data obtained with the mPDT. Fo...

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Bibliographic Details
Main Authors: Ingyu Park, Yun Joong Kim, Yeo Jin Kim, Unjoo Lee
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
pentagon drawing test
automatic scoring
mobile sensor
deep learning
u-net
parkinson’s disease
Online Access:https://www.mdpi.com/1424-8220/20/5/1283

Internet

https://www.mdpi.com/1424-8220/20/5/1283

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