Machine learning for the diagnosis of Parkinson's disease: a review of literature

J Mei, C Desrosiers, J Frasnelli - Frontiers in aging neuroscience, 2021 - frontiersin.org
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review

KM Giannakopoulou, I Roussaki, K Demestichas - Sensors, 2022 - mdpi.com
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review

A Saboor, T Kask, A Kuusik, MM Alam… - Ieee …, 2020 - ieeexplore.ieee.org
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …

Machine learning models for Parkinson's disease detection and stage classification based on spatial-temporal gait parameters

MIASN Ferreira, FA Barbieri, VC Moreno, T Penedo… - Gait & Posture, 2022 - Elsevier
Background Parkinson's disease (PD) is a chronic and progressive neurodegenerative
disease with no cure, presenting a challenging diagnosis and management. However …

Assessing inertial measurement unit locations for freezing of gait detection and patient preference

J O'Day, M Lee, K Seagers, S Hoffman… - … of neuroengineering and …, 2022 - Springer
Background Freezing of gait, a common symptom of Parkinson's disease, presents as
sporadic episodes in which an individual's feet suddenly feel stuck to the ground. Inertial …

Vision-based finger tapping test in patients with Parkinson's disease via spatial-temporal 3D hand pose estimation

Z Guo, W Zeng, T Yu, Y Xu, Y Xiao… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Finger tapping test is crucial for diagnosing Parkinson's Disease (PD), but manual visual
evaluations can result in score discrepancy due to clinicians' subjectivity. Moreover …

Automated and accurate assessment for postural abnormalities in patients with Parkinson's disease based on Kinect and machine learning

Z Zhang, R Hong, A Lin, X Su, Y Jin, Y Gao… - Journal of …, 2021 - Springer
Background Automated and accurate assessment for postural abnormalities is necessary to
monitor the clinical progress of Parkinson's disease (PD). The combination of depth camera …

An artificial neural network approach to detect presence and severity of Parkinson's disease via gait parameters

T Varrecchia, SF Castiglia, A Ranavolo, C Conte… - PLoS …, 2021 - journals.plos.org
Introduction Gait deficits are debilitating in people with Parkinson's disease (PwPD), which
inevitably deteriorate over time. Gait analysis is a valuable method to assess disease …

[HTML][HTML] Arm-swing kinematics in Parkinson's disease: a systematic review and meta-analysis

V Navarro-Lopez, D Fernandez-Vazquez… - Gait & Posture, 2022 - Elsevier
Background Parkinson's disease (PD) causes postural instability and gait abnormalities that
may be associated with an arm swing reduction. Objective To conduct systematic review and …

Kinect-based assessment of lower limbs during gait in post-stroke hemiplegic patients: A narrative review

S Cerfoglio, C Ferraris, L Vismara, G Amprimo… - Sensors, 2022 - mdpi.com
The aim of this review was to present an overview of the state of the art in the use of the
Microsoft Kinect camera to assess gait in post-stroke individuals through an analysis of the …