Sep 11, 2018 · The emergence of motion sensors as a tool that provides objective motor performance data on individuals afflicted with Parkinson's disease
Sep 11, 2018 · We review the use of inertial sensors and machine learning algorithms in Parkinson's disease. Keywords: Parkinson's disease; accelerometer; ...
Sep 11, 2018 · The rapid growth of wearable motion sensors in assessing PD symptoms offers new clinical insights into the nature and characteristics of motor disability.
Detailed Record ; Title: Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling. ; Language: English
The emergence of motion sensors as a tool that provides objective motor performance data on individuals afflicted with Parkinson's disease offers an ...
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Nov 23, 2018 · Machine learning algorithms that use data streams captured from soft wearable sensors have the potential to automatically detect PD symptoms ...
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Nov 1, 2023 · This paper provides the reader with a summary of the current applications of DL and wearable devices for the diagnosis, prognosis, and monitoring of PD.
We develop a data-driven reinforcement learning (RL) framework to optimize PD medication regimens through wearable sensors.
Nov 2, 2023 · There are various body-worn sensors (BWS) proposed to monitor parkinsonian clinical features, such as motor fluctuations, dyskinesia, tremor, bradykinesia, ...
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Through the GA optimized RF classifier, the classification accuracy of the model can reach up to 94.4%, which provides the feasibility for the clinical ...
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