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Accurate assessment of Parkinsonian tremor is vital for monitoring disease progression and evaluating treatment efficacy. We introduce a pixel-based deep learning model designed to analyse postural tremor in Parkinson's disease (PD) from…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Felipe Duque-Quiceno , Grzegorz Sarapata , Yuriy Dushin , Miles Allen , Jonathan O'Keeffe

Parkinson's disease (PD) is a progressive neurological disorder primarily affecting motor function resulting in tremor at rest, rigidity, bradykinesia, and postural instability. The physical severity of PD impairments can be quantified…

Computer Vision and Pattern Recognition · Computer Science 2020-07-20 Mandy Lu , Kathleen Poston , Adolf Pfefferbaum , Edith V. Sullivan , Li Fei-Fei , Kilian M. Pohl , Juan Carlos Niebles , Ehsan Adeli

This paper presents a novel deep learning enabled, video based analysis framework for assessing the Unified Parkinsons Disease Rating Scale (UPDRS) that can be used in the clinic or at home. We report results from comparing the performance…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Deval Mehta , Umar Asif , Tian Hao , Erhan Bilal , Stefan Von Cavallar , Stefan Harrer , Jeffrey Rogers

Diagnosing Parkinson's disease is a complex task that requires the evaluation of several motor and non-motor symptoms. During diagnosis, gait abnormalities are among the important symptoms that physicians should consider. However, gait…

Machine Learning · Computer Science 2020-05-19 Imanne El Maachi , Guillaume-Alexandre Bilodeau , Wassim Bouachir

Parkinson's Disease (PD) is the second most common neurodegenerative disorder. The existing assessment method for PD is usually the Movement Disorder Society - Unified Parkinson's Disease Rating Scale (MDS-UPDRS) to assess the severity of…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Xiang Xiang , Zihan Zhang , Jing Ma , Yao Deng

Deep learning holds tremendous potential in healthcare for uncovering hidden patterns within extensive clinical datasets, aiding in the diagnosis of various diseases. Parkinson's disease (PD) is a neurodegenerative condition characterized…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Aqib Nazir Mir , Iqra Nissar , Mumtaz Ahmed , Sarfaraz Masood , Danish Raza Rizvi

Drug-induced parkinsonism affects many older adults with dementia, often causing gait disturbances. New advances in vision-based human pose-estimation have opened possibilities for frequent and unobtrusive analysis of gait in residential…

Computer Vision and Pattern Recognition · Computer Science 2021-10-05 Andrea Sabo , Sina Mehdizadeh , Andrea Iaboni , Babak Taati

Evaluating neurological disorders such as Parkinson's disease (PD) is a challenging task that requires the assessment of several motor and non-motor functions. In this paper, we present an end-to-end deep learning framework to measure PD…

Computer Vision and Pattern Recognition · Computer Science 2020-12-25 Amirhossein Dadashzadeh , Alan Whone , Michal Rolinski , Majid Mirmehdi

The stage and severity of Parkinson's disease (PD) is an important factor to consider for taking effective therapeutic decisions. Although the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) provides an…

Applications · Statistics 2018-05-30 R. Prashanth , Sumantra Dutta Roy

Parkinson's disease (PD) is a neurodegenerative disorder, manifesting with motor and non-motor symptoms. Depressive symptoms are prevalent in PD, affecting up to 45% of patients. They are often underdiagnosed due to overlapping motor…

Fundamental knowledge in activity recognition of individuals with motor disorders such as Parkinson's disease (PD) has been primarily limited to detection of steady-state/static tasks (sitting, standing, walking). To date, identification of…

Signal Processing · Electrical Eng. & Systems 2021-10-13 Mahdieh Kazemimoghadam , Nicholas P. Fey

Parkinson's disease is a neurological condition that occurs in nearly 1% of the world's population. The disease is manifested by a drop in dopamine production, symptoms are cognitive and behavioural and include a wide range of personality…

Image and Video Processing · Electrical Eng. & Systems 2024-01-08 Maria Frasca , Davide La Torre , Gabriella Pravettoni , Ilaria Cutica

Bradykinesia, characterized by involuntary slowing or decrement of movement, is a fundamental symptom of Parkinson's Disease (PD) and is vital for its clinical diagnosis. Despite various methodologies explored to quantify bradykinesia,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Youngseo Cho , In Hee Kwak , Dohyeon Kim , Jinhee Na , Hanjoo Sung , Jeongjae Lee , Young Eun Kim , Hyeo-il Ma

In this paper, by characterizing the Leg Agility (LA) task, which contributes to the evaluation of the degree of severity of the Parkinson's Disease (PD), through kinematic variables (including the angular amplitude and speed of thighs'…

Computers and Society · Computer Science 2015-02-16 Matteo Giuberti , Gianluigi Ferrari , Laura Contin , Veronica Cimolin , Corrado Azzaro , Giovanni Albani , Alessandro Mauro

Parkinson's Disease (PD) is a slowly evolving neuro-logical disease that affects about 1% of the population above 60 years old, causing symptoms that are subtle at first, but whose intensity increases as the disease progresses. Automated…

Parkinson's Disease (PD) is associated with gait movement disorders, such as bradykinesia, stiffness, tremors and postural instability, caused by progressive dopamine deficiency. Today, some approaches have implemented learning…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Edgar Rangel , Fabio Martinez

Identification of risk factors associated with falls in people with Parkinson's Disease (PD) is important due to their high risk of falling. In this study, various ways of utilizing the Unified Parkinson's Disease Rating Scale (UPDRS) were…

Applications · Statistics 2019-10-04 Sarini Abdullah , Nicole White , James McGree , Kerrie Mengersen , Graham Kerr

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. However, traditional diagnostic approaches may suffer from…

Machine Learning · Computer Science 2020-10-14 Jie Mei , Christian Desrosiers , Johannes Frasnelli

Parkinson's Disease (PD) is characterized by disorders in motor function such as freezing of gait, rest tremor, rigidity, and slowed and hyposcaled movements. Medication with dopaminergic medication may alleviate those motor symptoms,…

Computer Vision and Pattern Recognition · Computer Science 2018-08-09 Terry Taewoong Um , Franz Michael Josef Pfister , Daniel Christian Pichler , Satoshi Endo , Muriel Lang , Sandra Hirche , Urban Fietzek , Dana Kulić

Parkinson's disease (PD) is a chronic neurodegenerative disease. It shows multiple motor symptoms such as tremor, bradykinesia, postural instability, freezing of gait (FoG). PD is currently diagnosed clinically through physical exam by…

Machine Learning · Computer Science 2026-04-21 Meheru Zannat
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