2019
DOI: 10.3390/e21010090
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Using Multiscale Entropy to Assess the Efficacy of Local Cooling on Reactive Hyperemia in People with a Spinal Cord Injury

Abstract: Pressure ulcers are one of the most common complications of a spinal cord injury (SCI). Prolonged unrelieved pressure is thought to be the primary causative factor resulting in tissue ischemia and eventually pressure ulcers. Previous studies suggested that local cooling reduces skin ischemia of the compressed soft tissues based on smaller hyperemic responses. However, the effect of local cooling on nonlinear properties of skin blood flow (SBF) during hyperemia is unknown. In this study, 10 wheelchair users wit… Show more

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Cited by 12 publications
(21 citation statements)
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References 31 publications
(74 reference statements)
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“…Reactive hyperemia has been conventionally quantified using time-do main parameters such as peak hyperemia, time to peak hyperemia and total hyperemic response [17] [18] [29]. These parameters provide a description of the response but may exh ibit large inter-and intrasubject variations [17] [18] [25]. Time to peak hyperemia is proposed to reveal the vascular resistance [6] [31].…”
Section: Fig 1 -Filtered Sb Fr Signals Which Indicate the Three DI Fmentioning
confidence: 99%
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“…Reactive hyperemia has been conventionally quantified using time-do main parameters such as peak hyperemia, time to peak hyperemia and total hyperemic response [17] [18] [29]. These parameters provide a description of the response but may exh ibit large inter-and intrasubject variations [17] [18] [25]. Time to peak hyperemia is proposed to reveal the vascular resistance [6] [31].…”
Section: Fig 1 -Filtered Sb Fr Signals Which Indicate the Three DI Fmentioning
confidence: 99%
“…Frequency domain features includ ing FFT have been utilized in in vestigating the activities of the regulatory mechanis m of skin blood flow [6] [18]. Time series signal can be decomposed into a finite number of periodic oscillations with different frequencies and phases which reveals the power spectrum.…”
Section: Frequency Domain Featuresmentioning
confidence: 99%
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