Empirical mode decomposition analysis of near-infrared spectroscopy muscular signals to assess the effect of physical activity in type 2 diabetic patients

Molinari, Filippo; Martis, Roshan Joy; Acharya, U. Rajendra; Meiburger, Kristen M.; Luca, Riccardo De; Petraroli, Giuliana; Liboni, William

doi:10.1016/j.compbiomed.2015.01.011

Cited by 13 publications

(3 citation statements)

References 36 publications

(47 reference statements)

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“…Given the Mb and Hb signals and the respective in vitro dissociation constants (K d ), an analysis can derive an estimate of the tissue PO 2 (22,34,35,48). The noninvasive and convenient approach has established NIRS as a standard methodology to investigate tissue oxygenation in different human organs in vivo and under different physiological conditions, such as cerebrovascular disease, diabetes, or Becker muscular dystrophy (1,28,33,70,72,74).…”

Section: Nirsmentioning

confidence: 99%

Comparative NMR and NIRS analysis of oxygen-dependent metabolism in exercising finger flexor muscles

Bendahan

Chatel

Jue

2017

American Journal of Physiology-Regulatory, Integrative and Comp

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Muscle contraction requires the physiology to adapt rapidly to meet the surge in energy demand. To investigate the shift in metabolic control, especially between oxygen and metabolism, researchers often depend on near-infrared spectroscopy (NIRS) to measure noninvasively the tissue O Because NIRS detects the overlapping myoglobin (Mb) and hemoglobin (Hb) signals in muscle, interpreting the data as an index of cellular or vascular O requires deconvoluting the relative contribution. Currently, many in the NIRS field ascribe the signal to Hb. In contrast, H NMR has only detected the Mb signal in contracting muscle, and comparative NIRS and NMR experiments indicate a predominant Mb contribution. The present study has examined the question of the NIRS signal origin by measuring simultaneously theH NMR, P NMR, and NIRS signals in finger flexor muscles during the transition from rest to contraction, recovery, ischemia, and reperfusion. The experiment results confirm a predominant Mb contribution to the NIRS signal from muscle. Given the NMR and NIRS corroborated changes in the intracellular O, the analysis shows that at the onset of muscle contraction, O declines immediately and reaches new steady states as contraction intensity rises. Moreover, lactate formation increases even under quite aerobic condition.

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Section: Nirsmentioning

confidence: 99%

Comparative NMR and NIRS analysis of oxygen-dependent metabolism in exercising finger flexor muscles

Bendahan

Chatel

Jue

2017

American Journal of Physiology-Regulatory, Integrative and Comp

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“…22 Despite the NIRS general use of monitoring cerebral vascular reactivity, 23 it can also be used to monitor the diabetic muscle metabolic changes. [24][25][26] Furthermore, the analysis of NIRS signal in frequency domain can reveal the nervous system oscillations, and so the progression of peripheral arterial disease and neuropathy can be studied. 27,28 The aims of this study were twofold: (i) to investigate the effect of LLLT on peripheral vascular and nervous systems in DFU patients and (ii) to test two different LLLT power intensities.…”

Section: Introductionmentioning

confidence: 99%

Effect of low-level light therapy on diabetic foot ulcers: a near-infrared spectroscopy study

et al. 2017

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Diabetic foot ulcer (DFU) is a diabetic complication due to peripheral vasculopathy and neuropathy. A promising technology for wound healing in DFU is low-level light therapy (LLLT). Despite several studies showing positive effects of LLLT on DFU, LLLT’s physiological effects have not yet been studied. The objective of this study was to investigate vascular and nervous systems modification in DFU after LLLT. Two samples of 45 DFU patients and 11 healthy controls (HCs) were recruited. The total hemoglobin (totHb) concentration change was monitored before and after LLLT by near-infrared spectroscopy and analyzed in time and frequency domains. The spectral power of the totHb changes in the very-low frequency (VLF, 20 to 60 mHz) and low frequency (LF, 60 to 140 mHz) bandwidths was calculated. Data analysis revealed a mean increase of totHb concentration after LLLT in DFU patients, but not in HC. VLF/LF ratio decreased significantly after the LLLT period in DFU patients (indicating an increased activity of the autonomic nervous system), but not in HC. Eventually, different treatment intensities in LLLT therapy showed a different response in DFU. Overall, our results demonstrate that LLLT improves blood flow and autonomic nervous system regulation in DFU and the importance of light intensity in therapeutic protocols.

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“…LITERATUR REVIEW Several studies and researches have been conducted to study the relationship between physical activity and T2D. That include: -Internet of things (IoT) [82] -Big data analytics [83] -Signal processing based techniques [84] -Image processing based techniques [85] -Intelligent techniques [86] -Data fusion techniques [87] -Data mining techniques [88] -Expert Systems [89] Table 3 shows the literature of the proposed study. Table 3.…”

Section: Introductionmentioning

confidence: 99%

A review of wearable sensors based monitoring with daily physical activity to manage type 2 diabetes

AlShorman

Alshorman²,

Alkahtani

2021

IJECE

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Globally, the aging and the lifestyle lead to rabidly increment of the number of type two diabetes (T2D) patients. Critically, T2D considers as one of the most challenging healthcare issue. Importantly, physical activity (PA) plays a vital role of improving glycemic control T2D. However, daily monitoring of T2D using wearable devices/ sensors have a crucial role to monitor glucose levels in the blood. Nowadays, daily physical activity (PA) and exercises have been used to manage T2D. The main contribution of the proposed study is to review the literature about managing and monitoring T2D with daily PA through wearable devices and sensors. Finally, challenges and future trends are also highlighted.

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Empirical mode decomposition analysis of near-infrared spectroscopy muscular signals to assess the effect of physical activity in type 2 diabetic patients

Cited by 13 publications

References 36 publications

Comparative NMR and NIRS analysis of oxygen-dependent metabolism in exercising finger flexor muscles

Comparative NMR and NIRS analysis of oxygen-dependent metabolism in exercising finger flexor muscles

Effect of low-level light therapy on diabetic foot ulcers: a near-infrared spectroscopy study

A review of wearable sensors based monitoring with daily physical activity to manage type 2 diabetes

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