AIMC Topic: Tremor
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A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's Disease.
IEEE transactions on bio-medical engineering
Feb 18, 2019
The assessment of Parkinson's disease (PD) poses a significant challenge, as it is influenced by various factors that lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable for effecti...
Robot-assisted tremor control for performance enhancement of retinal microsurgeons.
The British journal of ophthalmology
Dec 20, 2018
Pars plana vitrectomy is a challenging, minimally invasive microsurgical procedure due to its intrinsic manoeuvres and physiological limits that constrain human capability. An important human limitation is physiological hand tremor, which can signifi...
Rest tremor quantification based on fuzzy inference systems and wearable sensors.
International journal of medical informatics
Mar 11, 2018
BACKGROUND: Currently the most consistent, widely accepted and detailed instrument to rate Parkinson's disease (PD) is the Movement Disorder Society sponsored Unified Parkinson Disease Rating Scale (MDS-UPDRS). However, the motor examination is based...
Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network.
Computers in biology and medicine
Feb 15, 2018
Tremor is a commonly observed symptom in patients of Parkinson's disease (PD), and accurate measurement of tremor severity is essential in prescribing appropriate treatment to relieve its symptoms. We propose a tremor assessment system based on the u...
High-accuracy automatic classification of Parkinsonian tremor severity using machine learning method.
Physiological measurement
Oct 31, 2017
MOTIVATION: Although clinical aspirations for new technology to accurately measure and diagnose Parkinsonian tremors exist, automatic scoring of tremor severity using machine learning approaches has not yet been employed.
Robust Machine Learning-Based Correction on Automatic Segmentation of the Cerebellum and Brainstem.
PloS one
May 23, 2016
Automated segmentation is a useful method for studying large brain structures such as the cerebellum and brainstem. However, automated segmentation may lead to inaccuracy and/or undesirable boundary. The goal of the present study was to investigate w...
A Fuzzy Inference System for Closed-Loop Deep Brain Stimulation in Parkinson's Disease.
Journal of medical systems
Sep 18, 2015
Parkinsons disease is a complex neurodegenerative disorder for which patients present many symptoms, tremor being the main one. In advanced stages of the disease, Deep Brain Stimulation is a generalized therapy which can significantly improve the mot...
Activity recognition in patients with tremor: Integrating time-length windows for enhanced detection.
Computers in biology and medicine
Jul 1, 2025
Pathological tremor significantly impairs daily activities and quality of life, particularly in conditions such as essential tremor and Parkinson's disease. The assessment and evaluation of tremor, along with its evolution with medication dosages, po...
Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates.
Neurobiology of disease
Jun 15, 2025
BACKGROUND: Despite prior studies on early-stage Parkinson's disease (PD) brain connectivity and temporal patterns, differences between tremor-dominant (TD) and postural instability/gait difficulty (PIGD) motor subtypes remain poorly understood. Our ...
Explainable machine learning for movement disorders - Classification of tremor and myoclonus.
Computers in biology and medicine
Jun 1, 2025
BACKGROUND: Treatment for essential tremor (ET) and cortical myoclonus (CM) differs. As their clinical distinction can be difficult, with large inter- and intra-observer variability, there is a need for additional diagnostic tools.
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