Trends in technology usage for Parkinson's disease assessment: a systematic review
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 …
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 …
Background Parkinson's disease (PD) and essential tremor (ET) are movement disorders
that can have similar clinical characteristics including tremor and gait difficulty. These …
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
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 …
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 …
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 …
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 …
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
Parkinson's disease (PD) is a neurological disorder caused by degeneration of
dopaminergic neurons in the midbrain. PD patients mainly suffer from motor symptoms …
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
Accurate tremor classification is crucial for effective patient management and treatment.
However, clinical diagnoses are often hindered by misdiagnoses, necessitating the …
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 …
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
[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 …
importante de la casuística clínica en los trastornos del movimiento, que impiden a los …