ArticleFrontiers in bioengineering and biotechnology2020
Hand Resting Tremor Assessment of Healthy and Patients With Parkinson's Disease: An Exploratory Machine Learning Study.
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 34 citations in OpenAlex.
- Characteristics of Post-Exercise Lower Limb Muscle Tremor Among Speed Skaters.Sensors (Basel, Switzerland) · 2025Article
- Smartwatch-based wrist tremor assessment in neurosurgical simulator training.Scientific reports · 2025Article
- Subclinical tremor differentiation using long short-term memory networks.Physical and engineering sciences in medicine · 2025Article
- A Wearable Internet of Things-Based Device for the Quantitative Assessment of Hand Tremors in Parkinson's Disease: The ELENA Project.Sensors (Basel, Switzerland) · 2025Article
- Parkinson's disease tremor prediction using EEG data analysis-A preliminary and feasibility study.BMC neurology · 2023Article
- Towards a Modular Pathological Tremor Simulation System Based on the Stewart Platform.Sensors (Basel, Switzerland) · 2023Article
- A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm.Biomedical engineering online · 2023Article
- Development of a New Wearable Device for the Characterization of Hand Tremor.Bioengineering (Basel, Switzerland) · 2023Article
- Hypoglycemia Detection Using Hand Tremors: Home Study of Patients With Type 1 Diabetes.JMIR diabetes · 2023Article
- Reference Values of the Forearm Tremor Power Spectra for Youth Athletes.Journal of human kinetics · 2023Article
- Classification of Kinematic and Electromyographic Signals Associated with Pathological Tremor Using Machine and Deep Learning.Entropy (Basel, Switzerland) · 2023Article
- Identification and Characterization of Short-Term Motor Patterns in Rest Tremor of Individuals with Parkinson's Disease.Healthcare (Basel, Switzerland) · 2022Article
- An Exploration of Pepino (Foods (Basel, Switzerland) · 2022Article
- The hand tremor spectrum is modified by the inertial sensor mass during lightweight wearable and smartphone-based assessment in healthy young subjects.Scientific reports · 2022Article
- Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms.NPJ digital medicine · 2022Review
- Remote Assessments of Hand Function in Neurological Disorders: Systematic Review.JMIR rehabilitation and assistive technologies · 2022Review
- Discrimination between healthy and patients with Parkinson's disease from hand resting activity using inertial measurement unit.Biomedical engineering online · 2021Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study is comparing the accuracies of machine learning algorithms to classify data concerning healthy subjects and patients with Parkinson's Disease (PD), toward different time window lengths and a number of features. Thirty-two healthy subjects and eighteen patients with PD took part on this study. The study obtained inertial recordings by using an accelerometer and a gyroscope assessing both hands of the subjects during hand resting state. We extracted time and temporal frequency domain features to feed seven machine learning algorithms: k-nearest-neighbors (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.