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 …

Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review

KM Giannakopoulou, I Roussaki, K Demestichas - Sensors, 2022 - mdpi.com
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

Machine learning in tremor analysis: critique and directions

A De, KP Bhatia, J Volkmann, R Peach… - Movement …, 2023 - Wiley Online Library
Tremor is the most frequent human movement disorder, and its diagnosis is based on
clinical assessment. Yet finding the accurate clinical diagnosis is not always straightforward …

[HTML][HTML] Remote assessments of hand function in neurological disorders: systematic review

A Gopal, WY Hsu, DD Allen, R Bove - JMIR rehabilitation and …, 2022 - rehab.jmir.org
Background Loss of fine motor skills is observed in many neurological diseases, and remote
monitoring assessments can aid in early diagnosis and intervention. Hand function can be …

Bradykinesia detection in Parkinson's disease using smartwatches' inertial sensors and deep learning methods

L Sigcha, B Domínguez, L Borzì, N Costa, S Costa… - Electronics, 2022 - mdpi.com
Bradykinesia is the defining motor symptom of Parkinson's disease (PD) and is reflected as
a progressive reduction in speed and range of motion. The evaluation of bradykinesia …

Upper limb intention tremor assessment: opportunities and challenges in wearable technology

N Paredes-Acuna, D Utpadel-Fischler, K Ding… - Journal of …, 2024 - Springer
Background Tremors are involuntary rhythmic movements commonly present in neurological
diseases such as Parkinson's disease, essential tremor, and multiple sclerosis. Intention …

Novel Hopfield neural network model with election algorithm for random 3 satisfiability

MM Bazuhair, SZM Jamaludin, NE Zamri… - Processes, 2021 - mdpi.com
One of the influential models in the artificial neural network (ANN) research field for
addressing the issue of knowledge in the non-systematic logical rule is Random k …

The hand tremor spectrum is modified by the inertial sensor mass during lightweight wearable and smartphone-based assessment in healthy young subjects

PSA Santos, EGR Santos, LCP Monteiro… - Scientific Reports, 2022 - nature.com
Tremors are common disorders characterized by an involuntary and relatively rhythmic
oscillation that can occur in any part of the body and may be physiological or associated with …

Diagnosis and treatment of tremor in Parkinson's disease using mechanical devices

J Fujikawa, R Morigaki, N Yamamoto, H Nakanishi… - Life, 2022 - mdpi.com
Background: Parkinsonian tremors are sometimes confused with essential tremors or other
conditions. Recently, researchers conducted several studies on tremor evaluation using …

Development of a New Wearable Device for the Characterization of Hand Tremor

B Vescio, M De Maria, M Crasà, R Nisticò, C Calomino… - Bioengineering, 2023 - mdpi.com
Rest tremor (RT) is observed in subjects with Parkinson's disease (PD) and Essential
Tremor (ET). Electromyography (EMG) studies have shown that PD subjects exhibit …