ReviewAnnals of biomedical engineering2021
Entropy Analysis in Gait Research: Methodological Considerations and Recommendations.
Review in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
51 citing papers in PubMed.
- Reduced-order analysis for gait kinematics of paraplegic patients based on spatiotemporal mode decomposition.Medical & biological engineering & computing · 2026Article
- Topological Organization of Center-of-Pressure Dynamics During Virtual Reality Walking Differs Between Individuals With Parkinson's Disease and Healthy Older Adults.Health science reports · 2026Article
- Running Constraints Shape Multifractal Movement Complexity Beyond Physiological and Mechanical Load: A Pilot Study.Sensors (Basel, Switzerland) · 2026Article
- Beyond gait speed: a multidimensional motor signature of motoric cognitive risk syndrome identified through domain-specific anomaly detection.GeroScience · 2026Article
- Movement Regularity and Local Dynamic Stability During Acute and 12-Week Retrained Non-Rearfoot-Strike Running Compared to Habitual Non-Rearfoot-Strike Running.Journal of sports science & medicine · 2026Article
- Characterizing infant leg movements using 72-h wearable sensor data: Descriptive analysis from a large, heterogenous sample of infants 0-2 months of age from the HEALthy Brain and Child Development Study.Infant behavior & development · 2026Article
- Multiscale Entropy Reveals Reduced Airflow Complexity in Chronic Obstructive Pulmonary Disease: Associations with Spirometry and Diagnostic Utility.Annals of biomedical engineering · 2026Article
- Dynamic stability is tied to gait assistance when walking with a hip exoskeleton.Scientific reports · 2026Article
- Article
- Smart Sensor-Driven Gait Rehabilitation Walker Using Machine Learning for Predictive Home-Based Therapy.Sensors (Basel, Switzerland) · 2026Article
- Rethinking the Defaults: Exploring Sample Entropy Parameters for Human Movement Data.Annals of biomedical engineering · 2026Article
- Age-Related Changes in EEG Signal Complexity and Behavioral Variability from Childhood to Adulthood: A Multiscale Entropy Approach.Entropy (Basel, Switzerland) · 2026Article
- Inertial Sensor-Based Assessment of Postural Control During Modified Romberg Conditions: Normative Reference Metrics from Healthy Adults.Sensors (Basel, Switzerland) · 2026Article
- Biomechanical Effects of the MIND&GAIT Exercise Program on Sit-to-Stand and Marching in Place Motor Coordination in Institutionalized Older Adults: Implications for Functional Stability.Healthcare (Basel, Switzerland) · 2026Article
- Changes in postural control in older adults: a five-year longitudinal study.Scientific reports · 2026Article
- A systematic review and meta-analysis on dual-task sensor-based motion analysis for dementia detection.Frontiers in digital health · 2026Review
- Age-related and dual task-induced gait alterations and asymmetry: optimizing the Semmelweis Study gait assessment protocol.GeroScience · 2025Article
- Revascularization Enhances Walking Dynamics in Patients with Peripheral Artery Disease.Applied mechanics (Basel, Switzerland) · 2025Article
- Entropy, Irreversibility, and Time-Series Deep Learning of Kinematic and Kinetic Data for Gait Classification in Children with Cerebral Palsy, Idiopathic Toe Walking, and Hereditary Spastic Paraplegia.Sensors (Basel, Switzerland) · 2025Article
- Changes in torque complexity with fatigue are related to motor unit behaviour.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The usage of entropy analysis in gait research has grown considerably the last two decades. The present paper reviews the application of different entropy analyses in gait research and provides recommendations for future studies. While single-scale entropy analysis such as approximate and sample entropy can be used to quantify regularity/predictability/probability, they do not capture the structural richness and component entanglement characterized by a complex system operating across multiple spatial and temporal scales. Thus, for quantification of complexity, either multiscale entropy or refined composite multiscale entropy is recommended. For both single- and multiscale-scale entropy analyses, care should be made when selecting the input parameters of tolerance window r, vector length m, time series length N and number of scales. This selection should be based on the proposed research question and the type of data collected and not copied from previous studies. Parameter consistency should be investigated and published along with the main results to ensure transparency and enable comparisons between studies. Furthermore, since the interpretation of the absolute size of both single- and multiscale entropy analyses outcomes is not straightforward, comparisons should always be made with a control condition or group.
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Registered trials
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