DeepAI
Log In Sign Up

Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization

08/08/2018
by   Terry Taewoong Um, et al.
0

Parkinson's Disease (PD) is characterized by disorders in motor function such as freezing of gait, rest tremor, rigidity, and slowed and hyposcaled movements. Medication with dopaminergic medication may alleviate those motor symptoms, however, side-effects may include uncontrolled movements, known as dyskinesia. In this paper, an automatic PD motor-state assessment in free-living conditions is proposed using an accelerometer in a wrist-worn wearable sensor. In particular, an ensemble of convolutional neural networks (CNNs) is applied to capture the large variability of daily-living activities and overcome the dissimilarity between training and test patients due to the inter-patient variability. In addition, class activation map (CAM), a visualization technique for CNNs, is applied for providing an interpretation of the results.

READ FULL TEXT

page 19

page 21

page 22

11/15/2019

Granular Motor State Monitoring of Free Living Parkinson's Disease Patients via Deep Learning

Parkinson's disease (PD) is the second most common neurodegenerative dis...
09/21/2019

Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors

Infant's spontaneous movements mirror integrity of brain networks, and t...
12/28/2020

Computational Analysis of Subscapularis Tears and Pectoralis Major Transfers on Muscular Activity

Muscle transfers are commonly performed to restore joint function after ...
11/05/2015

Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism

Autism Spectrum Disorders (ASDs) are often associated with specific atyp...
09/10/2022

Shape Analysis for Pediatric Upper Body Motor Function Assessment

Neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duche...
09/17/2020

Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments

Stroke is known as a major global health problem, and for stroke survivo...