A review of emergent intelligent systems for the detection of Parkinson's disease
S Dhanalakshmi, RS Maanasaa, RS Maalikaa… - Biomedical Engineering …, 2023 - Springer
Parkinson's disease (PD) is a neurodegenerative disorder affecting people worldwide. The
PD symptoms are divided into motor and non-motor symptoms. Detection of PD is very …
PD symptoms are divided into motor and non-motor symptoms. Detection of PD is very …
Static-Dynamic temporal networks for Parkinson's disease detection and severity prediction
C Dong, Y Chen, Z Huan, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Most patients with Parkinson's disease (PD) have different degrees of movement disorders,
and effective gait analysis has a huge potential for uncovering hidden gait patterns to …
and effective gait analysis has a huge potential for uncovering hidden gait patterns to …
[HTML][HTML] Evaluating Motor Symptoms in Parkinson's Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers
Parkinson's disease (PD) is the second most common neurodegenerative disorder, entailing
several motor-related symptoms that contribute to a reduced quality of life in affected …
several motor-related symptoms that contribute to a reduced quality of life in affected …
An “optical flow” method based on pressure sensors data for quantification of Parkinson's disease characteristics
C Dong, Y Chen, Z Huan, Z Li, G Gao, B Zhou - … Signal Processing and …, 2023 - Elsevier
Most patients with Parkinson's disease (PD) have different degrees of movement disorders,
and effective gait analysis is beneficial to find the abnormal gait of patients to achieve the …
and effective gait analysis is beneficial to find the abnormal gait of patients to achieve the …
OA-pain-sense: machine learning prediction of hip and knee osteoarthritis pain from IMU data
Joint pain is a prominent symptom of Hip and Knee Osteoarthritis (OA), impairing patients'
movements and affecting the joint mechanics of walking. Self-report questionnaires are …
movements and affecting the joint mechanics of walking. Self-report questionnaires are …
Isolating the speed factor is crucial in gait analysis for Parkinson's disease
A Patoz, D Malatesta, J Burtscher - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Parkinson's disease (PD) is characterized by an alteration of the walking gait,
frequently including a slower self-selected walking speed (SSWS). Although the reduction of …
frequently including a slower self-selected walking speed (SSWS). Although the reduction of …
Vertical Ground Reaction Forces in Parkinson's Disease: A Speed-Matched Comparative Analysis with Healthy Subjects
This study aimed to investigate and compare the vertical Ground Reaction Forces (vGRFs)
of patients with Parkinson's Disease (PwPD) and healthy subjects (HS) when the …
of patients with Parkinson's Disease (PwPD) and healthy subjects (HS) when the …
Digital-Health Monitoring System for Healthy Aging using Gait Biomarkers
Healthy aging is crucial for socioeconomic independence and quality living. Nevertheless,
age-related gait variations result in mobility issues influencing human walk. Hence, studying …
age-related gait variations result in mobility issues influencing human walk. Hence, studying …
Parkinson's Disease Severity Assessment: A Comparative Study & Interpretability Analysis
U Tiwari, PR Jahanve, S Karna… - 2024 5th …, 2024 - ieeexplore.ieee.org
Parkinson's disease (PD) is a progressive neurological disorder that mainly affects people
over the age of sixty. Currently, there is no such cure for PD. However, Treatments are …
over the age of sixty. Currently, there is no such cure for PD. However, Treatments are …
Predictive Models in the Diagnosis of Parkinson's Disease Through Voice Analysis
T Gonçalves, J Reis, G Gonçalves, M Calejo… - Intelligent Systems …, 2024 - Springer
Parkinson's disease (PD) is a chronic and progressive long-term degenerative disorder of
the central nervous system. The symptoms usually develop slowly, starting with symptoms in …
the central nervous system. The symptoms usually develop slowly, starting with symptoms in …