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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 …
Technology in Parkinson's disease: challenges and opportunities
The miniaturization, sophistication, proliferation, and accessibility of technologies are
enabling the capture of more and previously inaccessible phenomena in Parkinson's …
enabling the capture of more and previously inaccessible phenomena in Parkinson's …
Wearable sensors objectively measure gait parameters in Parkinson's disease
Distinct gait characteristics like short steps and shuffling gait are prototypical signs
commonly observed in Parkinson's disease. Routinely assessed by observation through …
commonly observed in Parkinson's disease. Routinely assessed by observation through …
[PDF][PDF] Motor assessment in Parkinsons disease
JA Opara, A Małecki, E Małecka… - Annals of Agricultural and …, 2017 - bibliotekanauki.pl
Parkinson's disease (PD) is one of most disabling disorders of the central nervous system.
The motor symptoms of Parkinson's disease: shaking, rigidity, slowness of movement …
The motor symptoms of Parkinson's disease: shaking, rigidity, slowness of movement …
Inertial sensor-based gait recognition: A review
With the recent development of microelectromechanical systems (MEMS), inertial sensors
have become widely used in the research of wearable gait analysis due to several factors …
have become widely used in the research of wearable gait analysis due to several factors …
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 …
Binary grey wolf optimizer with mutation and adaptive k-nearest neighbour for feature selection in Parkinson's disease diagnosis
RR Rajammal, S Mirjalili, G Ekambaram… - Knowledge-Based …, 2022 - Elsevier
Disease identification and classification relies on Feature Selection (FS) to find the relevant
features for accurate medical diagnosis. FS is an optimization problem solved with the help …
features for accurate medical diagnosis. FS is an optimization problem solved with the help …
Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
Multimodal assessment of Parkinson's disease: a deep learning approach
JC Vásquez-Correa, T Arias-Vergara… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor
symptoms. Particularly, difficulties to start/stop movements have been observed in patients …
symptoms. Particularly, difficulties to start/stop movements have been observed in patients …
Towards development of IoT-ML driven healthcare systems: A survey
The impact of IoT-ML in the healthcare sector is very significant and it has helped us to
change our view at the traditional treatment methods. In IoT-ML-based healthcare …
change our view at the traditional treatment methods. In IoT-ML-based healthcare …