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 …

Technology in Parkinson's disease: challenges and opportunities

AJ Espay, P Bonato, FB Nahab, W Maetzler… - Movement …, 2016 - Wiley Online Library
The miniaturization, sophistication, proliferation, and accessibility of technologies are
enabling the capture of more and previously inaccessible phenomena in Parkinson's …

Wearable sensors objectively measure gait parameters in Parkinson's disease

JCM Schlachetzki, J Barth, F Marxreiter, J Gossler… - PloS one, 2017 - journals.plos.org
Distinct gait characteristics like short steps and shuffling gait are prototypical signs
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 …

Inertial sensor-based gait recognition: A review

S Sprager, MB Juric - Sensors, 2015 - mdpi.com
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 …

An emerging era in the management of Parkinson's disease: wearable technologies and the internet of things

CF Pasluosta, H Gassner, J Winkler… - IEEE journal of …, 2015 - ieeexplore.ieee.org
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 …

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 …

Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review

M Belić, V Bobić, M Badža, N Šolaja… - Clinical neurology and …, 2019 - Elsevier
Artificial intelligence, specifically machine learning, has found numerous applications in
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 …

Towards development of IoT-ML driven healthcare systems: A survey

NS Sworna, AKMM Islam, S Shatabda… - Journal of Network and …, 2021 - Elsevier
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 …