Scaling analysis of paces of fetal breathing, gross-body and extremity movements

Govindan, Rathinaswamy B.; Wilson, James D.; Murphy, P.; Russel, W.A.; Lowery, Curtis L.

doi:10.1016/j.physa.2007.08.021

Cited by 13 publications

(5 citation statements)

References 33 publications

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“…The contrary goes for development. Fetal breathing movements show more pronounced 1/ scaling with gestational age [72]. In contrast, deviations from 1/ scaling are observed in asthma patients, out of which those with more pronounced 1/ signatures in breathing rhythm showed better recovery after treatment [73].…”

Section: Pervasive Fractal Scaling In the Bodymentioning

confidence: 90%

A Review of Theoretical Perspectives in Cognitive Science on the Presence of 1/f Scaling in Coordinated Physiological and Cognitive Processes

Wijnants

2014

Journal of Nonlinear Dynamics

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Time series of human performances present fluctuations around a mean value. These fluctuations are typically considered as insignificant, and attributable to random noise. Over recent decades, it became clear that temporal fluctuations possess interesting properties, however, one of which the property of fractal 1/fscaling. 1/fscaling indicates that a measured process extends over a wide range of timescales, suggesting an assembly over multiple scales simultaneously. This paper reviews neurological, physiological, and cognitive studies that corroborate the claim that 1/fscaling is most clearly present in healthy, well-coordinated activities. Prominent hypotheses about the origins of 1/fscaling are confronted with these reviewed studies. It is concluded that 1/fscaling in living systems appears to reflect their genuine complex nature, rather than constituting a coincidental side-effect. The consequences of fractal dynamics extending from the small spatial and temporal scales (e.g., neurons) to the larger scales of human behavior and cognition, are vast, and impact the way in which relevant research questions may be approached. Rather than focusing on specialized isolable subsystems, using additive linear methodologies, nonlinear dynamics, more elegantly so, imply a complex systems methodology, thereby exploiting, rather than rejecting, mathematical concepts that enable describing large sets of natural phenomena.

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Section: Pervasive Fractal Scaling In the Bodymentioning

confidence: 90%

A Review of Theoretical Perspectives in Cognitive Science on the Presence of 1/f Scaling in Coordinated Physiological and Cognitive Processes

Wijnants

2014

Journal of Nonlinear Dynamics

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“…The power-law growth of fluctuations is evidence of long-range temporal correlations (Scafetta & Grigolini, 2002;Viswanathan et al, 1996;Zanette, 1997). Temporally fractal scaling can be found in neuromuscular fluctuations from the coarser grain, such as posture (Duarte & Zatsiorsky, 2001) and gait (Hausdorff et al, 1997), to a finer grain, such as breathing (Govindan, Wilson, Murphy, Russel, & Lowery, 2007), heartbeats (Peng, Havlin, Stanley, & Goldberger, 1995), and finger tapping (Lemoine, Torre, & Delignières, 2006), to even finer grains, such as electric current in muscle (Gitter & Czerniecki, 1995), neurotransmitter exocytosis (Lowen, Cash, Poo, & Teich, 1997), ion-channel kinetics (Varanda, Liebovitch, Figueiroa, & Nogueira, 2000), and interspike intervals in neuron firing (Das, Gebber, Barman, & Lewis, 2003)-even independently of spinal influences (Orer, Das, Barman, & Gebber, 2003). Temporally fractal scaling is a signature of memory throughout the neuromuscular apparatus available for dynamic touch.…”

Section: Long-range Temporal Correlations In Exploratory Movementsmentioning

confidence: 99%

Transfer of calibration between hand and foot: Functional equivalence and fractal fluctuations

Stephen

Hajnal

2011

Atten Percept Psychophys

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Transfer of competency in a perceptual task often depends on shared information between anatomically different perceptual subsystems. The problem of studying transfer involves isolating conditions of similarity and then trying to account for any resulting differences in transfer. To respect this twofold aspect, this article takes a twopronged approach to transfer in dynamic touch. The present research first tests the hypothesis that functional equivalence supports the transfer of dynamic touch. Participants were trained to wield unseen objects with the hand or foot and were then tested on anatomically disparate limbs (i.e., the foot or hand, respectively). Next, we examined motion capture of these wielding behaviors for predictors of any asymmetry in transfer. Temporally fractal fluctuations of exploratory behavior can modulate information detection, and we tested whether the fractality of wielding might predict asymmetries in transfer across disparate limbs. Results suggest that transfer of training to anatomically disparate limbs respects functional conditions of similarity and also that the degree of temporally fractal fluctuations predicted limb differences in transfer.

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“…Examples of spatial fractal fluctuations are the distributions of nucleotides in DNA (Peng et al, 1994) and the vascular network of arteries, veins, and capillaries in a variety of plants and animals (Bassingthwaighte, Van Beek, & King, 1990;Glenny, Bernard, Neradilek, & Polissar, 2007). Indeed, human gait (Hausdorff et al, 1996), free finger tapping (Lemoine, Torre, & Delignie `res, 2006), heartbeats (Peng, Havlin, Stanley, & Goldberger, 1995), breathing (Govindan, Wilson, Murphy, Russel, & Lowery, 2007), and posture (Duarte & Zatsiorsky, 2001) are all examples of biological systems exhibiting temporal fractal fluctuations. Instead of having a characteristic time scale, these fractal fluctuations exhibit long-range temporal correlations.…”

Section: Fractal Fluctuations In Perceptual Performancementioning

confidence: 99%

The role of fractality in perceptual learning: Exploration in dynamic touch.

Stephen¹,

Arzamarski²,

Michaels³

2010

Journal of Experimental Psychology: Human Perception and Perfor

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Perceptual systems must learn to explore and to use the resulting information to hone performance. Optimal performance depends on using information available at many time scales, from the near instantaneous values of variables underlying perception (i.e., detection), to longer term information about appropriate scaling (i.e., calibration), to yet longer term information guiding variable use (i.e., attunement). Fractal fluctuations in explorations would entail fluctuation at all time scales, allowing perceptual systems a flexible way to detect information at all time scales. We tested whether perceptual learning in dynamic touch is related to the fractality of wielding behaviors. A reanalysis of wielding behaviors from Arzamarski, Isenhower, Kay, Turvey, and Michaels (2010) revealed that exploratory movements were fractal and that a fractal-scaling exponent predicts individual differences in haptic judgments.

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Scaling analysis of paces of fetal breathing, gross-body and extremity movements

Cited by 13 publications

References 33 publications

A Review of Theoretical Perspectives in Cognitive Science on the Presence of 1/f Scaling in Coordinated Physiological and Cognitive Processes

A Review of Theoretical Perspectives in Cognitive Science on the Presence of 1/f Scaling in Coordinated Physiological and Cognitive Processes

Transfer of calibration between hand and foot: Functional equivalence and fractal fluctuations

The role of fractality in perceptual learning: Exploration in dynamic touch.

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