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A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …
traditional plasma experiments, necessitating the development of a faster, less expensive …
How wearable sensors can support Parkinson's disease diagnosis and treatment: a systematic review
Background: Parkinson's disease (PD) is a common and disabling pathology that is
characterized by both motor and non-motor symptoms and affects millions of people …
characterized by both motor and non-motor symptoms and affects millions of people …
Soft robotic apparel to avert freezing of gait in Parkinson's disease
Freezing of gait (FoG) is a profoundly disruptive gait disturbance in Parkinson's disease,
causing unintended stops while walking. Therapies for FoG reveal modest and transient …
causing unintended stops while walking. Therapies for FoG reveal modest and transient …
Self-powered and self-functional cotton sock using piezoelectric and triboelectric hybrid mechanism for healthcare and sports monitoring
Wearable devices rely on hybrid mechanisms that possess the advantages of establishing a
smarter system for healthcare, sports monitoring, and smart home applications. Socks with …
smarter system for healthcare, sports monitoring, and smart home applications. Socks with …
Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms
AS Chandrabhatla, IJ Pomeraniec… - NPJ digital …, 2022 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
Gait analysis using wearable sensors
W Tao, T Liu, R Zheng, H Feng - Sensors, 2012 - mdpi.com
Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of
providing useful information for multiple health-related applications. As a clinical tool applied …
providing useful information for multiple health-related applications. As a clinical tool applied …
Freezing of gait: moving forward on a mysterious clinical phenomenon
Freezing of gait (FoG) is a unique and disabling clinical phenomenon characterised by brief
episodes of inability to step or by extremely short steps that typically occur on initiating gait …
episodes of inability to step or by extremely short steps that typically occur on initiating gait …
An emerging era in the management of Parkinson's disease: wearable technologies and the internet of things
Current challenges demand a profound restructuration of the global healthcare system. A
more efficient system is required to cope with the growing world population and increased …
more efficient system is required to cope with the growing world population and increased …
Wearable-sensor-based detection and prediction of freezing of gait in Parkinson's disease: a review
Freezing of gait (FOG) is a serious gait disturbance, common in mid-and late-stage
Parkinson's disease, that affects mobility and increases fall risk. Wearable sensors have …
Parkinson's disease, that affects mobility and increases fall risk. Wearable sensors have …
Multi-modal deep learning diagnosis of Parkinson's disease—a systematic review
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …
that employ artificial intelligence and notably deep learning, have been extensively …