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Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …
the population, especially the elderly. It manifests with motor, cognitive and other types of …
[HTML][HTML] Remote assessments of hand function in neurological disorders: systematic review
Background Loss of fine motor skills is observed in many neurological diseases, and remote
monitoring assessments can aid in early diagnosis and intervention. Hand function can be …
monitoring assessments can aid in early diagnosis and intervention. Hand function can be …
Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson's disease
R Powers, M Etezadi-Amoli, EM Arnold… - Science translational …, 2021 - science.org
Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …
Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitor®
Parkinson's disease (PD) is characterized by a variety of motor and non-motor symptoms. As
disease progresses, fluctuations in the response to levodopa treatment may develop, along …
disease progresses, fluctuations in the response to levodopa treatment may develop, along …
Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic review
Abstract Background The World Health Organisation's global strategy for digital health
emphasises the importance of patient involvement. Understanding the usability and …
emphasises the importance of patient involvement. Understanding the usability and …
[HTML][HTML] Monitoring of gait parameters in post-stroke individuals: A feasibility study using rgb-d sensors
Stroke is one of the most significant causes of permanent functional impairment and severe
motor disability. Hemiplegia or hemiparesis are common consequences of the acute event …
motor disability. Hemiplegia or hemiparesis are common consequences of the acute event …
[HTML][HTML] Computation of gait parameters in post stroke and Parkinson's disease: a comparative study using RGB-D sensors and optoelectronic systems
The accurate and reliable assessment of gait parameters is assuming an important role,
especially in the perspective of designing new therapeutic and rehabilitation strategies for …
especially in the perspective of designing new therapeutic and rehabilitation strategies for …
[HTML][HTML] Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Sco** Review
Background Increasing adoption of sensor-based digital health technologies (sDHTs) in
recent years has cast light on the many challenges in implementing these tools into clinical …
recent years has cast light on the many challenges in implementing these tools into clinical …
[HTML][HTML] Deep learning for hand tracking in Parkinson's disease video-based assessment: Current and future perspectives
Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …
A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements
Bradykinesia is one of the core motor symptoms of Parkinson's disease (PD). Neurologists
typically perform face-to-face bradykinesia assessment in PD patients according to the …
typically perform face-to-face bradykinesia assessment in PD patients according to the …