ArticleEntropy (Basel, Switzerland)2018
Automatic Analysis of Archimedes' Spiral for Characterization of Genetic Essential Tremor Based on Shannon's Entropy and Fractal Dimension.
Article in Entropy (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Diagnostic Accuracy of the Archimedes Spiral Test for Essential Tremor: A Meta-Analysis.Tremor and other hyperkinetic movements (New York, N.Y.) · 2026Pooled it
- Structural brain changes in the development of essential tremor: toward early diagnosis.Frontiers in aging neuroscience · 2026Article
- Essential Tremor Severity Assessment Using Handwriting Analysis and Machine Learning.Sensors (Basel, Switzerland) · 2025Article
- Artificial Intelligence in the Diagnosis and Quantitative Phenotyping of Hyperkinetic Movement Disorders: A Systematic Review.Journal of clinical medicine · 2024Review
- Radiomics based on diffusion tensor imaging and 3D T1-weighted MRI for essential tremor diagnosis.Frontiers in neurology · 2024Article
- Classification of Kinematic and Electromyographic Signals Associated with Pathological Tremor Using Machine and Deep Learning.Entropy (Basel, Switzerland) · 2023Article
- Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study.Scientific reports · 2022Article
- On Extracting Digitized Spiral Dynamics' Representations: A Study on Transfer Learning for Early Alzheimer's Detection.Bioengineering (Basel, Switzerland) · 2022Article
- EMD-based data augmentation method applied to handwriting data for the diagnosis of Essential Tremor using LSTM networks.Scientific reports · 2022Article
- Past, Present, and Future of Deep Brain Stimulation: Hardware, Software, Imaging, Physiology and Novel Approaches.Frontiers in neurology · 2022Review
- Analysis of Fine Motor Skills in Essential Tremor: Combining Neuroimaging and Handwriting Biomarkers for Early Management.Frontiers in human neuroscience · 2021Article
- A Mobile Application for Smart Computer-Aided Self-Administered Testing of Cognition, Speech, and Motor Impairment.Sensors (Basel, Switzerland) · 2020Article
- A Multimodal Approach to the Quantification of Kinetic Tremor in Parkinson's Disease.Sensors (Basel, Switzerland) · 2019Article
- Handwriting movements for assessment of motor symptoms in schizophrenia spectrum disorders and bipolar disorder.PloS one · 2019Article
- Discrete Cosine Transform for the Analysis of Essential Tremor.Frontiers in physiology · 2018Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Among neural disorders related to movement, essential tremor has the highest prevalence; in fact, it is twenty times more common than Parkinson's disease. The drawing of the Archimedes' spiral is the gold standard test to distinguish between both pathologies. The aim of this paper is to select non-linear biomarkers based on the analysis of digital drawings. It belongs to a larger cross study for early diagnosis of essential tremor that also includes genetic information. The proposed automatic analysis system consists in a hybrid solution: Machine Learning paradigms and automatic selection of features based on statistical tests using medical criteria. Moreover, the selected biomarkers comprise not only commonly used linear features (static and dynamic), but also other non-linear ones: Shannon entropy and Fractal Dimension. The results are hopeful, and the developed tool can easily be adapted to users; and taking into account social and economic points of view, it could be very helpful in real complex environments.
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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.