[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review

L Sigcha, L Borzì, F Amato, I Rechichi… - Expert Systems with …, 2023 - Elsevier
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 …

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 …

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 …

Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease

M Shuqair, J Jimenez-Shahed… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
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 …

[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 …

Associations between coordination and wearable sensor variables vary by recording context but not assessment type

JD Konrad, N Marrus, KR Lohse, KM Thuet… - Journal of motor …, 2024 - Taylor & Francis
Motor coordination is an important driver of development and improved coordination
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

M Shuqair, J Jimenez-Shahed, B Ghoraani - Bioengineering, 2024 - pmc.ncbi.nlm.nih.gov
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 …

Dystonia, chorea, hemiballismus and other dyskinesias

M Bologna, J Valls-Solè, N Kamble, PK Pal… - Clinical …, 2022 - Elsevier
Hyperkinesias are heterogeneous involuntary movements that significantly differ in terms of
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 …