ArticleJournal of neuroengineering and rehabilitation2018
On the use of approximate entropy and sample entropy with centre of pressure time-series.
Article in Journal of neuroengineering and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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69 citing papers in PubMed.
- Effects of restricted compared to free arms motion during standing and walking at height in healthy adolescents.Scientific reports · 2026Article
- Non-Linear Center-of-Pressure Features Associated with Fall History in Older Adults: An Exploratory Analysis.Sensors (Basel, Switzerland) · 2026Article
- Changes in postural control in older adults: a five-year longitudinal study.Scientific reports · 2026Article
- Diagnostic significance of rhythmicity in postural hand tremor.Scientific reports · 2026Article
- Condition-specific mediolateral sway and task-dependent postural complexity in individuals with generalized joint hypermobility.Frontiers in bioengineering and biotechnology · 2026Article
- Disentangling sensory contributions to postural control regulation through sample entropy and neural modeling: A preliminary study.PloS one · 2026Article
- Classification of fall risk in Parkinson's disease using empirical mode decomposition and machine learning.Frontiers in bioengineering and biotechnology · 2026Article
- Daily fall risk assessment for older adults using a balance sensor with machine learning.Frontiers in public health · 2026Article
- Dual-task standing in older adults with mild cognitive impairment: postural control complexity, prefrontal activation, and cognitive task performance.Frontiers in neuroscience · 2026Article
- A large harmonized upper and lower limb accelerometry dataset: A resource for rehabilitation scientists.Data in brief · 2025Article
- Postural Control Adaptations in Trampoline Athletes of Different Competitive Levels: Insights from COP Linear and Nonlinear Measures.Entropy (Basel, Switzerland) · 2025Article
- Ageing changes the proprioceptive contribution to balance control under different types of mastoid vibration: A cross-sectional study.Experimental physiology · 2025Article
- On the complexity matching and multiscale nonlinear perspective of voice restoration via fat injection laryngoplasty in unilateral vocal fold paralysis.Scientific reports · 2025Article
- Reduced parietal to frontal functional connectivity for dynamic balance in late middle-to-older adults.Experimental brain research · 2025Article
- Vestibular patients generate more regular head movements than healthy individuals during gaze-stabilization exercises.Scientific reports · 2025Article
- Task-dependent cross-frequency neural coupling during postural perturbation: insights from EEG-based assessment in elite freestyle aerial skiers.Frontiers in physiology · 2025Article
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- Effects of 16-week tai chi practice on sit-to-stand performance and lower-limb neuromuscular control strategies in community-dwelling older adults: a randomized controlled trial.Frontiers in physiology · 2025Article
- The Influence of Dopaminergic Medication on Regularity and Determinism of Gait and Balance in Parkinson's Disease: A Pilot Analysis.Journal of clinical medicine · 2024Article
9 more citing papers are in PubMed but not listed here.
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3 authors.
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Abstract
backgroundApproximate entropy (ApEn) and sample entropy (SampEn) have been previously used to quantify the regularity in centre of pressure (COP) time-series in different experimental groups and/or conditions. ApEn and SampEn are very sensitive to their input parameters: m (subseries length), r (tolerance) and N (data length). Yet, the effects of changing those parameters have been scarcely investigated in the analysis of COP time-series. This study aimed to investigate the effects of changing parameters m, r and N on ApEn and SampEn values in COP time-series, as well as the ability of these entropy measures to discriminate between groups.
methodsA public dataset of COP time-series was used. ApEn and SampEn were calculated for m = {2, 3, 4, 5}, r = {0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5} and N = {600, 1200} (30 and 60 s, respectively). Subjects were stratified in young adults (age < 60, n = 85), and older adults (age ≥ 60) with (n = 18) and without (n = 56) falls in the last year. The effects of changing parameters m, r and N on ApEn and SampEn were investigated with a three-way ANOVA. The ability of ApEn and SampEn to discriminate between groups was investigated with a mixed ANOVA (within-subject factors: m, r and N; between-subject factor: group). Specific combinations of m, r and N producing significant differences between groups were identified using the Tukey's honest significant difference procedure.
resultsA significant three-way interaction between m, r and N confirmed the sensitivity of ApEn and SampEn to the input parameters. SampEn showed a higher consistency and ability to discriminate between groups than ApEn. Significant differences between groups were mostly observed in longer (N = 1200) COP time-series in the anterior-posterior direction. Those differences were observed for specific combinations of m and r, highlighting the importance of an adequate selection of input parameters.
conclusionsFuture studies should favour SampEn over ApEn and longer time-series (≥ 60 s) over shorter ones (e.g. 30 s). The use of parameter combinations such as SampEn (m = {4, 5}, r = {0.25, 0.3, 0.35}) is recommended.
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