Stable measurement of blood flow while running using a micro blood flowmeter

Wataru Iwasaki, Masaki Nakamura, Takeshi Gotanda, Satoshi Takeuchi, Masutaka Furue, Eiji Higurashi, Renshi Sawada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Skin blood flow during exercise has been studied before, with measurements made using laser Doppler blood flowmeters; however, their use was limited to activities with minimal motion, such as riding bicycle ergometers, because conventional devices are large and their measurements easily altered by movements of the optical fiber, rendering them inappropriate for running. We have previously developed a micro integrated laser Doppler blood flowmeter using microelectromechanical systems (MEMS) technology. The micro blood flowmeter is wearable and can measure signal stably even while the wearer is moving. We monitored skin blood flow during running at velocities of 6 km/h, 8 km/h, and 10 km/h, and were successful in measuring a stable signal under these conditions. We found that at the forehead the skin blood flow increases and, in contrast, at the fingertip it initially decreases during running. We also found that the level of these increases and decreases correlated with the running velocity.

Original languageEnglish
Title of host publicationBIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
Pages30-37
Number of pages8
Publication statusPublished - 2013
EventInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2013 - Barcelona, Spain
Duration: Feb 11 2013Feb 14 2013

Publication series

NameBIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

Other

OtherInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2013
Country/TerritorySpain
CityBarcelona
Period2/11/132/14/13

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Signal Processing

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