Zobrazeno 1 - 10
of 401
pro vyhledávání: '"Sassaroli, Angelo"'
Significance: Pulsatile blood Oxygen Saturation (SpO2 ) via pulse oximetry is a valuable clinical metric for assessing oxygen delivery. Individual anatomical features, including skin tone, may affect current optical pulse oximetry methods. Aim: Devel
Externí odkaz:
http://arxiv.org/abs/2405.15782
This compendium review focuses on the spatial distribution of sensitivity to localized absorption changes in optically diffuse media, particularly for measurements relevant to near-infrared spectroscopy. The three temporal domains, continuous-wave, f
Externí odkaz:
http://arxiv.org/abs/2311.00717
Publikováno v:
J. Biomed. Opt. 28(7) 077001 (22 July 2023)
Significance: Diffuse in-vivo Flow Cytometry (DiFC) is an emerging fluorescence sensing method to non-invasively detect labeled circulating cells in-vivo. However, due to Signal-to-Noise Ratio (SNR) constraints largely attributed to background tissue
Externí odkaz:
http://arxiv.org/abs/2305.14436
Publikováno v:
Appl. Sci. 2022, 12, 10903
Many applications seek to measure a sample's absorption coefficient spectrum to retrieve the chemical makeup. Many real world samples are optically turbid, causing scattering confounds which many commercial spectrometers cannot address. Using diffusi
Externí odkaz:
http://arxiv.org/abs/2209.06919
Publikováno v:
Neurophoton. 10(1), 013508 (2023)
Significance: This work targets the contamination of optical signals by superficial hemodynamics, which is one of the chief hurdles in non-invasive optical measurements of the human brain. Aim: To identify optimal source-detector distances for Dual-S
Externí odkaz:
http://arxiv.org/abs/2207.14761
Autor:
Blaney, Giles1 (AUTHOR) giles.blaney@tufts.edu, Sassaroli, Angelo1 (AUTHOR), Fantini, Sergio1 (AUTHOR)
Publikováno v:
Journal of Innovative Optical Health Sciences. Jul2024, Vol. 17 Issue 4, p1-115. 115p.
Autor:
Lyu, Boyang, Pham, Thao, Blaney, Giles, Haga, Zachary, Sassaroli, Angelo, Fantini, Sergio, Aeron, Shuchin
Significance: We demonstrated the potential of using domain adaptation on functional Near-Infrared Spectroscopy (fNIRS) data to classify different levels of n-back tasks that involve working memory. Aim: Domain shift in fNIRS data is a challenge in t
Externí odkaz:
http://arxiv.org/abs/2007.06706
Akademický článek
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Akademický článek
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Autor:
Martelli, Fabrizio, Tommasi, Federico, Fini, Lorenzo, Cortese, Lorenzo, Sassaroli, Angelo, Cavalieri, Stefano
Publikováno v:
In Journal of Quantitative Spectroscopy and Radiative Transfer December 2021 276