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Parkinson's disease is a neurodegenerative disease that can affect a person's movement, speech, dexterity, and cognition. Clinicians primarily diagnose Parkinson's disease by performing a clinical assessment of symptoms. However,…

Neurons and Cognition · Quantitative Biology 2018-11-16 Patrick Schwab , Walter Karlen

Medication for neurological diseases such as the Parkinson's disease usually happens remotely away from hospitals. Such out-of-lab environments pose challenges in collecting timely and accurate health status data. Individual differences in…

Machine Learning · Computer Science 2023-05-31 Weijian Li , Wei Zhu , E. Ray Dorsey , Jiebo Luo

Objective: The aim of this study is to develop a smartphone-based high-frequency remote monitoring platform, assess its feasibility for remote monitoring of symptoms in Parkinson's disease, and demonstrate the value of data collected using…

Computers and Society · Computer Science 2016-01-06 Andong Zhan , Max A. Little , Denzil A. Harris , Solomon O. Abiola , E. Ray Dorsey , Suchi Saria , Andreas Terzis

Parkinson's Disease (PD) is a chronic, degenerative disorder which leads to a range of motor and cognitive symptoms. PD diagnosis is a challenging task since its symptoms are very similar to other diseases such as normal ageing and…

Machine Learning · Computer Science 2021-01-15 Mohamad Alissa

Parkinsons Disease (PD) is a progressive neurological disorder that primarily affects motor functions and can lead to mild cognitive impairment (MCI) and dementia in its advanced stages. With approximately 10 million people diagnosed…

Image and Video Processing · Electrical Eng. & Systems 2025-05-02 Abu Saleh Musa Miah , taro Suzuki , Jungpil Shin

Parkinson's disease is a neuro-degenerative disorder affecting tens of millions of people worldwide. Lately, there has been considerable interest in systems for at-home monitoring of patients, using wearable devices which contain inertial…

Applications · Statistics 2017-02-08 Avishai Wagner , Naama Fixler , Yehezkel S. Resheff

One of the most catastrophic neurological disorders worldwide is Parkinson's Disease. Along with it, the treatment is complicated and abundantly expensive. The only effective action to control the progression is diagnosing it in the early…

Machine Learning · Computer Science 2023-10-23 Md. Taufiqul Haque Khan Tusar , Md. Touhidul Islam , Abul Hasnat Sakil

Parkinson's disease (PD) has been found to affect 1 out of every 1000 people, being more inclined towards the population above 60 years. Leveraging wearable-systems to find accurate biomarkers for diagnosis has become the need of the hour,…

Machine Learning · Computer Science 2023-04-20 Poojaa C , John Sahaya Rani Alex

The assessment of Parkinson's disease (PD) poses a significant challenge as it is influenced by various factors which lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable…

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 a progressive neurodegenerative disorder that significantly impacts both motor and non-motor functions, including speech. Early and accurate recognition of PD through speech analysis can greatly enhance patient…

Numerical Analysis · Mathematics 2024-07-24 Niloofar Fadavi , Nazanin Fadavi

Parkinson's disease (PD) is the second most common neurodegenerative disease worldwide and affects around 1% of the (60+ years old) elderly population in industrial nations. More than 80% of PD patients suffer from motor symptoms, which…

Parkinson's Disease (PD) is a progressive nervous system disorder that has affected more than 5.8 million people, especially the elderly. Due to the complexity of its symptoms and its similarity to other neurological disorders, early…

Artificial Intelligence · Computer Science 2022-11-29 Jingwei Li , Ruitian Wu , Tzu-liang Huang , Zian Pan , Ming-chun Huang

In recent years, sensors from smart consumer devices have shown great diagnostic potential in movement disorders. In this context, data modalities such as electronic questionnaires, hand movement and voice captures have successfully…

Machine Learning · Computer Science 2022-05-13 Catharina Marie van Alen , Alexander Brenner , Tobias Warnecke , Julian Varghese

Sensors from smart consumer devices have demonstrated high potential to serve as digital biomarkers in the identification of movement disorders in recent years. With the usage of broadly available smartwatches we have recorded participants…

Machine Learning · Computer Science 2022-05-12 Alexander Brenner , Michael Fujarski , Tobias Warnecke , Julian Varghese

Parkinson's disease (PD) is a common neurological disorder characterized by gait impairment. PD has no cure, and an impediment to developing a treatment is the lack of any accepted method to predict disease progression rate. The primary aim…

Signal Processing · Electrical Eng. & Systems 2019-11-26 Vyom Raval , Kevin P. Nguyen , Ashley Gerald , Richard B. Dewey , Albert Montillo

Parkinson's disease is a progressive neurodegenerative disorder affecting motor and non-motor functions, with speech impairments among its earliest symptoms. Speech impairments offer a valuable diagnostic opportunity, with machine learning…

Machine Learning · Computer Science 2025-04-25 Lorenzo Simone , Mauro Giuseppe Camporeale , Vito Marco Rubino , Vincenzo Gervasi , Giovanni Dimauro

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 slowly progressive debilitating neurodegenerative disease which is prominently characterised by motor symptoms. Indoor localisation, including number and speed of room to room transitions, provides a proxy…

Machine Learning · Computer Science 2022-05-13 Ferdian Jovan , Ryan McConville , Catherine Morgan , Emma Tonkin , Alan Whone , Ian Craddock

Personalized longitudinal disease assessment is central to quickly diagnosing, appropriately managing, and optimally adapting the therapeutic strategy of multiple sclerosis (MS). It is also important for identifying the idiosyncratic…

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