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A dataset of visible - short wave infrared reflectance spectra collected in-vivo on the dorsal and ventral aspect of arms.
Currà, Antonio; Gasbarrone, Riccardo; Trompetto, Carlo; Fattapposta, Francesco; Pierelli, Francesco; Missori, Paolo; Bonifazi, Giuseppe; Serranti, Silvia.
Afiliación
  • Currà A; Academic Neurology Unit, A. Fiorini Hospital, Terracina (LT), Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Polo Pontino, Via Firenze snc, 04019 Terracina, LT, Italia.
  • Gasbarrone R; Research Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italia.
  • Trompetto C; Research Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italia.
  • Fattapposta F; Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18 - 00184, Rome, Italy.
  • Pierelli F; IRCCS Ospedale Policlinico San Martino, and Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Largo Rosanna Benzi 10, 16132 Genova, Italia.
  • Missori P; Neurology Unit, Policlinico Umberto I, Department of Human Neurosciences, Sapienza University of Rome, Via dell'Università 30, 00185 Roma, Italia.
  • Bonifazi G; Research Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italia.
  • Serranti S; IRCCS Neuromed, and Academic Neuro-Rehabilitation Unit, ICOT, Latina, Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Polo Pontino, Via Franco Faggiana 1668, 04100 Latina, Italia.
Data Brief ; 33: 106480, 2020 Dec.
Article en En | MEDLINE | ID: mdl-33251301
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Data Brief Año: 2020 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Data Brief Año: 2020 Tipo del documento: Article País de afiliación: Italia