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Parkinsons Disease (PD) is a neurodegenerative disorder resulting in motor deficits due to advancing degeneration of dopaminergic neurons. PD patients report experiencing tremor, rigidity, visual impairment, bradykinesia, and several…

Computer Vision and Pattern Recognition · Computer Science 2023-04-05 Krish Desai

Falls are common in people with Parkinson's disease (PD) and have detrimental effects which can lower the quality of life. While studies have been conducted to learn about falling in general, factors distinguishing injurious from…

Applications · Statistics 2019-10-08 Sarini Abdullah , James McGree , Nicole White , Kerrie Mengersen , Graham Kerr

Parkinsons disease (PD) is a movement disorder and the second most common neurodengerative disease but despite its relative abundance, there are no clinically accepted neuroimaging biomarkers to make prognostic predictions or differentiate…

Neurons and Cognition · Quantitative Biology 2022-06-23 Cooper J. Mellema , Kevin P. Nguyen , Alex Treacher , Aixa Andrade Hernandez , Albert A. Montillo

People with Parkinson's Disease (PD) often experience progressively worsening gait, including changes in how they turn around, as the disease progresses. Existing clinical rating tools are not capable of capturing hour-by-hour variations of…

Computer Vision and Pattern Recognition · Computer Science 2025-09-24 Qiushuo Cheng , Catherine Morgan , Arindam Sikdar , Alessandro Masullo , Alan Whone , Majid Mirmehdi

Differential diagnosis among parkinsonian syndromes remains a clinical challenge due to overlapping motor symptoms and subtle gait abnormalities. Accurate differentiation is crucial for treatment planning and prognosis. While gait analysis…

Machine Learning · Computer Science 2026-03-09 Jhonathan Barrios , Wolfram Erlhagen , Miguel F. Gago , Estela Bicho , Flora Ferreira

The fractality of human gait, namely, the long-range correlation that characterizes scale-free fluctuations of gait descriptors, such as the stride intervals during steady-state walking, depends on the well-tuned organization of the…

Adaptation and Self-Organizing Systems · Physics 2021-09-07 Chunjiang Fu , Yasuyuki Suzuki , Pietro Morasso , Taishin Nomura

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

During the preceding decades, human gait analysis has been the center of attention for the scientific community, while the association between gait analysis and overall health monitoring has been extensively reported. Technological advances…

Posturography is routinely used to qualitatively assess one of the cardinal symptoms of Parkinson's disease -- postural instability. While most measures of balance control are derived from displacement of the center of pressure there is…

Neurons and Cognition · Quantitative Biology 2017-10-24 Miroslaw Latka , Slawomir Budrewicz , Klaudia Kozlowska , Magdalena Koszewicz , Bruce J. West

Efficient early diagnosis is paramount in addressing the complexities of Parkinson's disease because timely intervention can substantially mitigate symptom progression and improve patient outcomes. In this paper, we present a pioneering…

Signal Processing · Electrical Eng. & Systems 2024-04-25 Alireza Rashnu , Armin Salimi-Badr

Parkinson's disease (PD) is a common neurodegenerative disease that affects motor and non-motor symptoms. Postural instability and freezing of gait (FOG) are considered motor symptoms of PD resulting in falling. In this study, we…

Robotics · Computer Science 2021-05-13 Abdul Ali , Rikuo Kawamoto , Tomohiro Shibata

In this paper, we propose a novel gait recognition method based on a bag-of-words feature representation method. The algorithm is trained, tested and evaluated on a unique human gait data consisting of 93 individuals who walked with…

Computer Vision and Pattern Recognition · Computer Science 2022-03-28 Nasrin Bayat , Elham Rastegari , Qifeng Li

Gait abnormality detection is critical for the early discovery and progressive tracking of musculoskeletal and neurological disorders, such as Parkinson's and Cerebral Palsy. Especially, analyzing the foot-floor contacts during walking…

Signal Processing · Electrical Eng. & Systems 2024-08-07 Yiwen Dong , Yuyan Wu , Hae Young Noh

Parkinson's Disease (PD) affects millions globally, impacting movement. Prior research utilized deep learning for PD prediction, primarily focusing on medical images, neglecting the data's underlying manifold structure. This work proposes a…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Jun-En Ding , Chien-Chin Hsu , Feng Liu

Regular and stochastic behavior in the time series of Parkinsonian pathological tremor velocity is studied on the basis of the statistical theory of discrete non-Markov stochastic processes and flicker-noise spectroscopy. We have developed…

Parkinson's disease (PD) is one of the major public health problems in the world. It is a well-known fact that around one million people suffer from Parkinson's disease in the United States whereas the number of people suffering from…

Machine Learning · Computer Science 2016-10-27 Kamal Nayan Reddy Challa , Venkata Sasank Pagolu , Ganapati Panda , Babita Majhi

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) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1-1 %, and an annual incidence between 1.3-2.0/10000 inhabitants. The mean age at diagnosis of PD is 55 and…

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

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