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[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review
Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …
motor complications, degrading the quality of life of PD patients. Over the past two decades …
Levodopa-induced dyskinesias in Parkinson's disease: an overview on pathophysiology, clinical manifestations, therapy management strategies and future directions
L di Biase, PM Pecoraro, SP Carbone… - Journal of Clinical …, 2023 - mdpi.com
Since its first introduction, levodopa has become the cornerstone for the treatment of
Parkinson's disease and remains the leading therapeutic choice for motor control therapy so …
Parkinson's disease and remains the leading therapeutic choice for motor control therapy so …
Unveiling the unpredictable in Parkinson's disease: sensor-based monitoring of dyskinesias and freezing of gait in daily life
Background: Dyskinesias and freezing of gait are episodic disorders in Parkinson's disease,
characterized by a fluctuating and unpredictable nature. This cross-sectional study aims to …
characterized by a fluctuating and unpredictable nature. This cross-sectional study aims to …
Assessment of movement disorders using wearable sensors during upper limb tasks: A sco** review
I Vanmechelen, H Haberfehlner… - Frontiers in Robotics …, 2023 - frontiersin.org
Background: Studies aiming to objectively quantify movement disorders during upper limb
tasks using wearable sensors have recently increased, but there is a wide variety in …
tasks using wearable sensors have recently increased, but there is a wide variety in …
Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease
Parkinson's Disease (PD) patients frequently transition between the 'ON'state, where
medication is effective, and the 'OFF'state, affecting their quality of life. Monitoring these …
medication is effective, and the 'OFF'state, affecting their quality of life. Monitoring these …
[HTML][HTML] Home-based measurements of dystonia in cerebral palsy using smartphone-coupled inertial sensor technology and machine learning: A proof-of-concept …
D Den Hartog, MM van der Krogt, S van der Burg… - Sensors, 2022 - mdpi.com
Accurate and reliable measurement of the severity of dystonia is essential for the indication,
evaluation, monitoring and fine-tuning of treatments. Assessment of dystonia in children and …
evaluation, monitoring and fine-tuning of treatments. Assessment of dystonia in children and …
Associations between coordination and wearable sensor variables vary by recording context but not assessment type
Motor coordination is an important driver of development and improved coordination
assessments could facilitate better screening, diagnosis, and intervention for children at risk …
assessments could facilitate better screening, diagnosis, and intervention for children at risk …
Multi-Shared-Task Self-Supervised CNN-LSTM for Monitoring Free-Body Movement UPDRS-III Using Wearable Sensors
The Unified Parkinson's Disease Rating Scale (UPDRS) is used to recognize patients with
Parkinson's disease (PD) and rate its severity. The rating is crucial for disease progression …
Parkinson's disease (PD) and rate its severity. The rating is crucial for disease progression …
Dystonia, chorea, hemiballismus and other dyskinesias
Hyperkinesias are heterogeneous involuntary movements that significantly differ in terms of
clinical and semeiological manifestations, including rhythm, regularity, speed, duration, and …
clinical and semeiological manifestations, including rhythm, regularity, speed, duration, and …
[HTML][HTML] Non-contact hand movement analysis for optimal configuration of smart sensors to capture Parkinson's disease hand tremor
P Khwaounjoo, G Singh, S Grenfell, B Özsoy… - Sensors, 2022 - mdpi.com
Parkinson's disease affects millions worldwide with a large rise in expected burden over the
coming decades. More easily accessible tools and techniques to diagnose and monitor …
coming decades. More easily accessible tools and techniques to diagnose and monitor …