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Showing 1 to 13 of 13 for “"Sample Entropy"”.

  1. The effects of postural threat on sample entropy

    … to 1) explore the effects of postural threat on sample entropy, a measure interpreted to reflect the attentional investment in postural control, and to 2) examine the relationships between threat-related changes in physiological arousal, perceived anxiety, attention focus, conventional postural …

    brock Repository record for The effects of postural threat on sample entropy (opens in a new tab)

  2. Quantification of regularity in RR-interval time series using approximate entropy, sample entropy, and multi-scale entropy

    … fluctuations in heart rate. Approximate Entropy (ApEn), Sample Entropy (SampEn) and Multi-scale Entropy (MSE) are measures based on chaos theory that quantify the regularity in time series. This study has been designed to examine the ability of these measures to distinguish the …

    njit Repository record for Quantification of regularity in RR-interval time series using approximate entropy, sample entropy, and multi-scale entropy (opens in a new tab)

  3. Understanding Temporal Movement Behaviour Patterns: Measurement, Epidemiology, and Cardiometabolic Health Implications

    … Complexity was quantified using information entropy, sample entropy, and Lempel-Ziv complexity, which capture the predictability, regularity, diversity, and temporal structure of movement sequences. Descriptive analyses showed that higher complexity was observed in more active individuals, …

    cambridge Repository record for Understanding Temporal Movement Behaviour Patterns: Measurement, Epidemiology, and Cardiometabolic Health Implications (opens in a new tab)

  4. The Efficacy of Using Color In Sub-Threshold Vibration to Improve Older Adult Balance

    … trial . The COP data (COPAP, COPML) were downsampled to 50 Hz and measures of magnitude(RMS), predictability(Sample Entropy), and complexity(DFA) were extracted for each of the sway trials. The statistical analysis was done using Python 3. First, ANOVA was used to determine the statistical …

    ku Repository record for The Efficacy of Using Color In Sub-Threshold Vibration to Improve Older Adult Balance (opens in a new tab)

  5. The Acquisition and Analysis of Electroencephalogram Data for the Classification of Benign Partial Epilepsy of Childhood with Centrotemporal Spikes

    … course-graining raw EEG segments, we extracted sample entropy, recurrence rate, laminarity, and determinism using recurrence quantitative analysis. Our results displayed two major findings. First, awake BECTS and control patients can be classified with no overlap using all of these features. …

    usfca Repository record for The Acquisition and Analysis of Electroencephalogram Data for the Classification of Benign Partial Epilepsy of Childhood with Centrotemporal Spikes (opens in a new tab)

  6. Moving approximate entropy and its application to the electromyographic control of an artificial hand

    … signals. A new method, moving approximate entropy was employed to investigate whether any significant patterns can be observed in the structure of the electromyographic signals. An investigation, using moving approximate entropy, on twenty healthy participants' wrist muscles (flexor carpi …

    soton Repository record for Moving approximate entropy and its application to the electromyographic control of an artificial hand (opens in a new tab)

  7. Complexity Analysis of Physiological Time Series with Applications to Neonatal Sleep Electroencephalogram Signals

    … two complexity measures i.e. Approximate Entropy(ApEn) and Sample Entropy(SaEn). The suitability of ApEn and SaEn for moderate length data and their relative robustness to noise has made them the good candidate for analyzing EEG time series data. Parameter selection is of utmost importance …

    ohiolink Repository record for Complexity Analysis of Physiological Time Series with Applications to Neonatal Sleep Electroencephalogram Signals (opens in a new tab)

  8. Aging, Gait Variability, and Adaptability

    … of variation) and nonlinear measures (sample entropy and detrended fluctuation analysis). Movement trajectory variability of the dominant knee angle, and vertical and medial-lateral positions of the pelvis were quantified using nonlinear measures (correlation dimension and local dynamic …

    odu Repository record for Aging, Gait Variability, and Adaptability (opens in a new tab)

  9. Applications of Motor Variability for Assessing Repetitive Occupational Tasks

    … Three different measures (cycle-to-cycle SD, sample entropy, and the goal equivalent manifold) were used to quantify MV. In a symmetric lifting task, experienced workers had more constrained movement than novices, and experienced workers exhibited more consistent behavior in the asymmetric …

    vt Repository record for Applications of Motor Variability for Assessing Repetitive Occupational Tasks (opens in a new tab)

  10. The Influence of Feedback on Supra-postural Task Performance and Postural Sway Variability

    … coupling strength was also examined and sample entropy (SampEn) was used as a measure of complexity of postural sway and fingertip force time series. </p><p>The results indicated that the sensory modality used to present feedback about force-production performance did not have a large …

    ohiolink Repository record for The Influence of Feedback on Supra-postural Task Performance and Postural Sway Variability (opens in a new tab)

  11. Influence of gender and obesity on motor performance, neuromuscular control and endurance in older adults

    … using the coefficient of variation (CV) and sample entropy (SaEn) of the surface electromyography (EMG) and force signals. Motor variability during exercise differed both between males and females, and between obese and non-obese people, reflecting different motor strategies employed in order …

    vt Repository record for Influence of gender and obesity on motor performance, neuromuscular control and endurance in older adults (opens in a new tab)

  12. Addressing nonlinear systems with information-theoretical techniques

    … from Shannon’s work was to discover that entropy is a measure of information and that computing the entropy of a sequence, or a signal, can answer to the question of how much information is contained in the sequence. Or, alternatively, considering the source, i.e. the system, that …

    trento Repository record for Addressing nonlinear systems with information-theoretical techniques (opens in a new tab)