Clinically informed automated assessment of finger tapping videos in Parkinson's disease

T Yu, KW Park, MJ McKeown, ZJ Wang - Sensors, 2023 - mdpi.com
The utilization of Artificial Intelligence (AI) for assessing motor performance in Parkinson's
Disease (PD) offers substantial potential, particularly if the results can be integrated into …

Characterizing Disease Progression in Parkinson's Disease from Videos of the Finger Tapping Test

DL Guarín, JK Wong, NR McFarland… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Introduction: Parkinson's disease (PD) is characterized by motor symptoms whose
progression is typically assessed using clinical scales, namely the Movement Disorder …

A computer vision framework for finger-tapping evaluation in Parkinson's disease

T Khan, D Nyholm, J Westin, M Dougherty - Artificial intelligence in …, 2014 - Elsevier
Objectives The rapid finger-tapping test (RFT) is an important method for clinical evaluation
of movement disorders, including Parkinson's disease (PD). In clinical practice, the naked …

Supervised classification of bradykinesia in Parkinson's disease from smartphone videos

S Williams, SD Relton, H Fang, J Alty, R Qahwaji… - Artificial Intelligence in …, 2020 - Elsevier
Background Slowness of movement, known as bradykinesia, is the core clinical sign of
Parkinson's and fundamental to its diagnosis. Clinicians commonly assess bradykinesia by …

Automatic detection pipeline for accessing the motor severity of Parkinson's disease in finger tapping and postural stability

N Yang, DF Liu, T Liu, T Han, P Zhang, X Xu… - IEEE …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is a nervous disorder that can cause motor impairment. PD
severity assessment based on a series of motor movements illustrated in Unified Parkinson's …

Towards automated and marker-less Parkinson disease assessment: predicting UPDRS scores using sit-stand videos

D Mehta, U Asif, T Hao, E Bilal… - Proceedings of the …, 2021 - openaccess.thecvf.com
This paper presents a novel deep learning enabled, video based analysis framework for
assessing the Unified Parkinson's Disease Rating Scale (UPDRS) that can be used in the …

Using AI to measure Parkinson's disease severity at home

MS Islam, W Rahman, A Abdelkader, S Lee… - npj Digital …, 2023 - nature.com
We present an artificial intelligence (AI) system to remotely assess the motor performance of
individuals with Parkinson's disease (PD). In our study, 250 global participants performed a …

A deep learning approach for grading of motor impairment severity in Parkinson's disease

P Prakash, R Kaur, J Levy, R Sowers… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Objective and quantitative monitoring of movement impairments is crucial for detecting
progression in neurological conditions such as Parkinson's disease (PD). This study …

PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis

Y Chen, H Ma, J Wang, J Wu, X Wu, X Xie - Proceedings of the 27th ACM …, 2021 - dl.acm.org
Parkinson's Disease (PD) is a commonly diagnosed movement disorder with more than 10
million patients worldwide. Its clinical evaluation relies on a rating system called MDS …

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments

M Singh, P Prakash, R Kaur, R Sowers, JR Brašić… - Sensors, 2023 - mdpi.com
Wearable sensors provide a tool for at-home monitoring of motor impairment progression in
neurological conditions such as Parkinson's disease (PD). This study examined the ability of …