Parkinson's disease subtyping using clinical features and biomarkers: literature review and preliminary study of subtype clustering
The second most common progressive neurodegenerative disorder, Parkinson's disease
(PD), is characterized by a broad spectrum of symptoms that are associated with its …
(PD), is characterized by a broad spectrum of symptoms that are associated with its …
Sensor-Based Locomotion Data Mining for Supporting the Diagnosis of Neurodegenerative Disorders: A Survey
Locomotion characteristics and movement patterns are reliable indicators of
neurodegenerative diseases (NDDs). This survey provides a systematic literature review of …
neurodegenerative diseases (NDDs). This survey provides a systematic literature review of …
Identification of motor progression in Parkinson's disease using wearable sensors and machine learning
C Sotirakis, Z Su, MA Brzezicki, N Conway… - npj Parkinson's …, 2023 - nature.com
Wearable devices offer the potential to track motor symptoms in neurological disorders.
Kinematic data used together with machine learning algorithms can accurately identify …
Kinematic data used together with machine learning algorithms can accurately identify …
Parkinsonism and cerebrovascular disease
M Narasimhan, R Schwartz, G Halliday - Journal of the Neurological …, 2022 - Elsevier
The relationship between cerebrovascular disease and parkinsonism is commonly seen in
everyday clinical practice but remains ill-defined and under-recognised with little guidance …
everyday clinical practice but remains ill-defined and under-recognised with little guidance …
[HTML][HTML] A scoping review on minimum foot clearance: an exploration of level-ground clearance in individuals with abnormal gait
Background: Falls are a major health concern, with one in three adults over the age of 65
falling each year. A key gait parameter that is indicative of tripping is minimum foot clearance …
falling each year. A key gait parameter that is indicative of tripping is minimum foot clearance …
Acute effects of acupuncture in balance and gait of Parkinson disease patients–a preliminary study
CR Pereira, MB Criado, J Machado, CT Pereira… - … therapies in clinical …, 2021 - Elsevier
Introduction Balance and gait disorders are relevant symptoms in the quality of life of
Parkinson's patients. Currently, there is no therapy to reverse or treat this condition …
Parkinson's patients. Currently, there is no therapy to reverse or treat this condition …
Association of gait with global cognitive function and cognitive domains detected by MoCA-J among community-dwelling older adults: a cross-sectional study
W Hao, W Zhao, T Kimura, S Ukawa, K Kadoya… - BMC geriatrics, 2021 - Springer
Background Gait was proved to be strongly associated with global cognitive function and
multiple cognitive domains; however, previous research usually concentrated on individual …
multiple cognitive domains; however, previous research usually concentrated on individual …
Atypical gait cycles in Parkinson's disease
It is important to find objective biomarkers for evaluating gait in Parkinson's Disease (PD),
especially related to the foot and lower leg segments. Foot-switch signals, analyzed through …
especially related to the foot and lower leg segments. Foot-switch signals, analyzed through …
Discrimination of idiopathic Parkinson's disease and vascular parkinsonism based on gait time series and the levodopa effect
Idiopathic Parkinson's disease (IPD) and vascular parkinsonism (VaP) present highly
overlapping phenotypes, making it challenging to distinguish between these two …
overlapping phenotypes, making it challenging to distinguish between these two …
[HTML][HTML] The Role of Deep Learning and Gait Analysis in Parkinson's Disease: A Systematic Review
Parkinson's disease (PD) is the second most common movement disorder in the world. It is
characterized by motor and non-motor symptoms that have a profound impact on the …
characterized by motor and non-motor symptoms that have a profound impact on the …