Electrical impedance spectral measurements of muscular tissue in different physiological condition
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Electrical impedance spectral measurements of muscular tissue in different physiological condition (445 views)

Clemente F, Cesarelli M, Bifulco P

2013 Federated Conference On Computer Science And Information Systems Fedcsis 2013 (ISSN: 9781-4673, 9781-467344715), 2012; N/D: 43-46.

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Paper type: Journal Article,

Impact factor: 0.318, 5-year impact factor: 0.316

Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-84864227186&partnerID=40&md5=c5e5886b72851b4db3ed66822d70be26

Keywords: Biomedical Equipment, Biomedical Monitoring, Impedance Measurement, Muscle, Electrical Impedance, Electrical Impedance Spectroscopy, Impedance Data, Muscular Tissues, Physiological Condition, Spectral Measurement, Electric Impedance, Electric Impedance Measurement,

Affiliations:
*** IBB - CNR ***

Istituto di Ingegneria Biomedica - Consiglio Nazionale Delle Ricerche (IsIB-CNR), Monterotondo S. (Roma), Italy
Dipartimento di Ingegneria Biomedica, Elettronica e Delle Telecomunicazioni (DIBET), Università degli Studi di Napoli Federico II, Napoli, Italy


References:
Not available.
Electrical impedance spectral measurements of muscular tissue in different physiological condition

Electrical Impedance Spectroscopy (EIS) has been applied for tissue evaluation in different clinical fields. The aim of this study is to characterize the electrical properties of muscular tissues and its variation due to a prolonged contraction and successive relaxation. The layout of measurement has been studied. Preliminary results show significant differences in the characterization of impedance data in the different examined situations. © 2012 IEEE.
Electrical impedance spectral measurements of muscular tissue in different physiological condition

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Electrical impedance spectral measurements of muscular tissue in different physiological condition

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8 Records (5 excluding Abstracts).
Total impact factor: 2.916 (2.188 excluding Abstracts).
Total 5 year impact factor: 3.011 (2.23 excluding Abstracts).

Last modified by Marco Comerci on Sunday 12 July 2020, 13:14:57
445 views. Last view on Sunday 01 December 2024, 0:43:29