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. 2020 Nov 2:33:106480.
doi: 10.1016/j.dib.2020.106480. eCollection 2020 Dec.

A dataset of visible - short wave infrared reflectance spectra collected in-vivo on the dorsal and ventral aspect of arms

Antonio Currà  1   2 , Riccardo Gasbarrone  2   3 , Carlo Trompetto  4 , Francesco Fattapposta  5 , Francesco Pierelli  2   6 , Paolo Missori  7 , Giuseppe Bonifazi  2   3 , Silvia Serranti  2   3
Affiliations

A dataset of visible - short wave infrared reflectance spectra collected in-vivo on the dorsal and ventral aspect of arms

Antonio Currà et al. Data Brief. .

Abstract

Advancement of technology and device miniaturization have made near infrared spectroscopy (NIRS) techniques cost-effective, small-sized, simple, and ready to use. We applied NIRS to analyze healthy human muscles in vivo, and we found that this technique produces reliable and reproducible spectral "fingerprints" of individual muscles, that can be successfully discriminated by chemometric predictive models. The dataset presented in this descriptor contains the reflectance spectra acquired in vivo from the ventral and dorsal aspects of the arm using an ASD FieldSpec® 4 Standard-Res field portable spectroradiometer (350-2500 nm), the values of the anthropometric variables measured in each subject, and the codes to assist access to the spectral data. The dataset can be used as a reference set of spectral signatures of "biceps" and "triceps" and for the development of automated methods of muscle detection.

Keywords: Human tissues; Muscles; Near infrared spectroscopy; Reflectance spectroscopy dataset.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.

Figures

Fig 1
Fig. 1
Raw reflectance spectra of biceps – B – and triceps – D – for each subject (a); grand averages of the reflectance spectra for biceps and triceps (b); mean and standard deviations for biceps (c), and triceps reflectance spectra (d).
Fig 2
Fig. 2
Schematic drawing of employed measurement techniques and the corresponding data.
See this image and copyright information in PMC

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