Trends in technology usage for Parkinson's disease assessment: a systematic review

R Deb, G Bhat, S An, H Shill, UY Ogras - MedRxiv, 2021 - medrxiv.org
Parkinson's disease (PD) is a neurological disorder with complicated and disabling motor
and non-motor symptoms. The complexity of PD pathology is amplified further due to its …

Classification of Parkinson's disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques …

S Moon, HJ Song, VD Sharma, KE Lyons… - … of neuroengineering and …, 2020 - Springer
Background Parkinson's disease (PD) and essential tremor (ET) are movement disorders
that can have similar clinical characteristics including tremor and gait difficulty. These …

A systematic survey of research trends in technology usage for Parkinson's disease

R Deb, S An, G Bhat, H Shill, UY Ogras - Sensors, 2022 - mdpi.com
Parkinson's disease (PD) is a neurological disorder with complicated and disabling motor
and non-motor symptoms. The complexity of PD pathology is amplified due to its …

[Retracted] A Novel Method for Parkinson's Disease Diagnosis Utilizing Treatment Protocols

S Al-Otaibi, S Ayouni, MMH Khan… - BioMed Research …, 2022 - Wiley Online Library
It makes no difference whether a person is male or female when it comes to
neurodegenerative disorders; both sexes are equally susceptible to their devastating effects …

EMG signal morphology and kinematic parameters in essential tremor and Parkinson's disease patients

V Ruonala, A Meigal, SM Rissanen… - Journal of …, 2014 - Elsevier
The aim of this work was to differentiate patients with essential tremor from patients with
Parkinson's disease. Electromyographic data from biceps brachii muscles and kinematic …

Diagnosis of the Parkinson disease using enhanced fuzzy min-max neural network and OneR attribute evaluation method

ON Al Sayaydeha… - … Conference on Advanced …, 2019 - ieeexplore.ieee.org
Parkinson's disease is a dangerous disease that attacks the nervous system and affects it
negatively over time. Early diagnosis of this disease is necessary for identifying the most …

Classification of Hand-Movement Disabilities in Parkinson's Disease Using a Motion-Capture Device and Machine Learning

J Shin, M Matsumoto, M Maniruzzaman… - IEEE …, 2024 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurological disorder caused by degeneration of
dopaminergic neurons in the midbrain. PD patients mainly suffer from motor symptoms …

Two-Stage Convolutional Neural Network for Classification of Movement Patterns in Tremor Patients

P Weede, PD Smietana, G Kuhlenbäumer, G Deuschl… - Information, 2024 - mdpi.com
Accurate tremor classification is crucial for effective patient management and treatment.
However, clinical diagnoses are often hindered by misdiagnoses, necessitating the …

Assessment of upper limb tremors in patients with Parkinson's disease based on displacement and acceleration information

H Wu, Y Zhang, X Wu, F Yang - 2020 5th International …, 2020 - ieeexplore.ieee.org
To examine the consistency between upper limb tremor scores for patients with Parkinson's
disease (PD) obtained after comprehensively processing and modeling limb displacement …

Aplicación de las Máquinas de Soporte Vectorial (SVM) al diagnóstico clínico de la Enfermedad de Párkinson y el Temblor Esencial

R González, A Barrientos, M Toapanta… - … de Automática e …, 2017 - riunet.upv.es
[ES] Los enfermos de Párkinson (EP) y de temblor esencial (TE) suponen un porcentaje
importante de la casuística clínica en los trastornos del movimiento, que impiden a los …