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Copot D, De Keyser R, Derom E, Ortigueira M, Ionescu CM. Reducing bias in fractional order impedance estimation for lung function evaluation. Biomed Signal Process Control 2018. [DOI: 10.1016/j.bspc.2017.07.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Bendahan D, Chatel B, Jue T. Comparative NMR and NIRS analysis of oxygen-dependent metabolism in exercising finger flexor muscles. Am J Physiol Regul Integr Comp Physiol 2017; 313:R740-R753. [PMID: 28877871 DOI: 10.1152/ajpregu.00203.2017] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 08/07/2017] [Accepted: 08/30/2017] [Indexed: 02/08/2023]
Abstract
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 O2 Because NIRS detects the overlapping myoglobin (Mb) and hemoglobin (Hb) signals in muscle, interpreting the data as an index of cellular or vascular O2 requires deconvoluting the relative contribution. Currently, many in the NIRS field ascribe the signal to Hb. In contrast, 1H 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 the 1H NMR, 31P 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 O2, the analysis shows that at the onset of muscle contraction, O2 declines immediately and reaches new steady states as contraction intensity rises. Moreover, lactate formation increases even under quite aerobic condition.
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Affiliation(s)
- David Bendahan
- Aix-Marseille Univ, Centre National de la Recherche Scientifique, Centre de Résonance Magnétique Biologique et Médicale, Marseille, France
| | - Benjamin Chatel
- Aix-Marseille Univ, Centre National de la Recherche Scientifique, Centre de Résonance Magnétique Biologique et Médicale, Marseille, France
| | - Thomas Jue
- Biochemistry and Molecular Medicine, University of California Davis, Davis, California; and
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Salvi M, Rimini D, Molinari F, Bestente G, Bruno A. Effect of low-level light therapy on diabetic foot ulcers: a near-infrared spectroscopy study. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:38001. [PMID: 28265648 DOI: 10.1117/1.jbo.22.3.038001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 02/22/2017] [Indexed: 06/06/2023]
Abstract
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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Affiliation(s)
- Massimo Salvi
- Politecnico di Torino, Biolab, Department of Electronics and Telecommunications, Turin, Italy
| | - Daniele Rimini
- Politecnico di Torino, Biolab, Department of Electronics and Telecommunications, Turin, Italy
| | - Filippo Molinari
- Politecnico di Torino, Biolab, Department of Electronics and Telecommunications, Turin, Italy
| | | | - Alberto Bruno
- AOU Città della Salute e della Scienza di Torino-San Giovanni Antica Sede, Diabetology Department, Turin, Italy
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Humeau-Heurtier A, Wu CW, Wu SD, Mahe G, Abraham P. Refined Multiscale Hilbert–Huang Spectral Entropy and Its Application to Central and Peripheral Cardiovascular Data. IEEE Trans Biomed Eng 2016; 63:2405-2415. [DOI: 10.1109/tbme.2016.2533665] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Molinari F, Rimini D, Liboni W, Acharya UR, Franzini M, Pandolfi S, Ricevuti G, Vaiano F, Valdenassi L, Simonetti V. Cerebrovascular pattern improved by ozone autohemotherapy: an entropy-based study on multiple sclerosis patients. Med Biol Eng Comput 2016; 55:1163-1175. [PMID: 27734309 DOI: 10.1007/s11517-016-1580-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 09/26/2016] [Indexed: 12/17/2022]
Abstract
Ozone major autohemotherapy is effective in reducing the symptoms of multiple sclerosis (MS) patients, but its effects on brain are still not clear. In this work, we have monitored the changes in the cerebrovascular pattern of MS patients and normal subjects during major ozone autohemotherapy by using near-infrared spectroscopy (NIRS) as functional and vascular technique. NIRS signals are analyzed using a combination of time, time-frequency analysis and nonlinear analysis of intrinsic mode function signals obtained from empirical mode decomposition technique. Our results show that there is an improvement in the cerebrovascular pattern of all subjects indicated by increasing the entropy of the NIRS signals. Hence, we can conclude that the ozone therapy increases the brain metabolism and helps to recover from the lower activity levels which is predominant in MS patients.
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Affiliation(s)
- Filippo Molinari
- Biolab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy.
| | - Daniele Rimini
- Biolab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy
| | - William Liboni
- "Un Passo Insieme" ONLUS Foundation, Valdellatorre, Turin, Italy
| | - U Rajendra Acharya
- Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Clementi, 599489, Singapore.,Department of Biomedical Engineering, SIM University, Clementi, Singapore
| | - Marianno Franzini
- Scientific Society of Oxygen Ozone Therapy (SIOOT), Gorle, BG, Italy
| | - Sergio Pandolfi
- Scientific Society of Oxygen Ozone Therapy (SIOOT), Gorle, BG, Italy
| | - Giovanni Ricevuti
- Geriatric and Emergency Medicine, Postgraduate School in Emergency Medicine, University of Pavia, Pavia, Italy.,Geriatric Division, ASP - IDR S. Margherita, Pavia, Italy
| | - Francesco Vaiano
- Scientific Society of Oxygen Ozone Therapy (SIOOT), Gorle, BG, Italy
| | - Luigi Valdenassi
- Department of Internal Medicine and Medical Therapy, University of Pavia, Pavia, Italy
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Acharya UR, Mookiah MRK, Koh JEW, Tan JH, Bhandary SV, Rao AK, Fujita H, Hagiwara Y, Chua CK, Laude A. Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index. Comput Biol Med 2016; 75:54-62. [PMID: 27253617 DOI: 10.1016/j.compbiomed.2016.04.015] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Revised: 04/07/2016] [Accepted: 04/22/2016] [Indexed: 11/27/2022]
Affiliation(s)
- U Rajendra Acharya
- Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore; Department of Biomedical Engineering, School of Science and Technology, SIM University, Singapore 599491, Singapore; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603, Malaysia
| | | | - Joel E W Koh
- Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore
| | - Jen Hong Tan
- Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore
| | - Sulatha V Bhandary
- Department of Ophthalmology, Kasturba Medical College, Manipal, 576104, India
| | - A Krishna Rao
- Department of Ophthalmology, Kasturba Medical College, Manipal, 576104, India
| | - Hamido Fujita
- Faculty of Software and Information Science, Iwate Prefectural University (IPU), Iwate, 020-0693, Japan
| | - Yuki Hagiwara
- Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore
| | - Chua Kuang Chua
- Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore
| | - Augustinus Laude
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, 308433, Singapore
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Mookiah MRK, Acharya UR, Fujita H, Koh JE, Tan JH, Chua CK, Bhandary SV, Noronha K, Laude A, Tong L. Automated detection of age-related macular degeneration using empirical mode decomposition. Knowl Based Syst 2015. [DOI: 10.1016/j.knosys.2015.09.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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