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In vivo quantitative near‐infrared spectroscopy in skeletal muscle during incremental isometric handgrip exercise
Author(s) -
Van Beekvelt Mireille C. P.,
Van Engelen Baziel G. M.,
Wevers Ron A.,
Colier Willy N. J. M.
Publication year - 2002
Publication title -
clinical physiology and functional imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.608
H-Index - 67
eISSN - 1475-097X
pISSN - 1475-0961
DOI - 10.1046/j.1475-097x.2002.00420.x
Subject(s) - isometric exercise , medicine , workload , skeletal muscle , in vivo , sarcopenia , cardiology , biomedical engineering , anatomy , physical medicine and rehabilitation , physical therapy , biology , microbiology and biotechnology , computer science , operating system
The aim of this study was to investigate the performance of in vivo quantitative near‐infrared spectroscopy (NIRS) in skeletal muscle at various workloads. NIRS was used for the quantitative measurement of O 2 consumption (mV˙O 2 ) in the human flexor digitorum superficialis muscle at rest and during rhythmic isometric handgrip exercise in a broad range of work intensities (10–90% MVC=maximum voluntary contraction force). Six subjects were tested on three separate days. No significant differences were found in mV˙O 2 measured over different days with the exception of the highest workload. The within‐subject variability for each workload measured over the three measurements days ranged from 15·7 to 25·6% and did not increase at the high workloads. The mV˙O 2 was 0·14 ± 0·01 mlO 2 min –1 100 g –1 at rest and increased roughly 19 times to 2·68 ± 0·58 mlO 2 min –1 100 g –1 at 72% MVC. These results show that local muscle oxygen consumption at rest as well as during exercise at a broad range of work intensities can be measured reliably by NIRS, applied to a uniform selected subject population. This is of great importance as direct local measurement of mV˙O 2 during exercise is not possible with the conventional techniques. The method is robust enough to measure over separate days and at various workloads and can therefore contribute to a better understanding of human physiology in both the normal and pathological state of the muscle.