Open Access
Issue
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
Article Number 01012
Number of page(s) 5
Section Session 1: Robotics
DOI https://doi.org/10.1051/itmconf/20171201012
Published online 05 September 2017
  1. M. Cope, “Methods of Quantitating Cerebral Near Infrared Spectroscopy Data.” Advances in Experimental Medicine & Biology, vol. 222, pp.183–189, 1988. [CrossRef] [Google Scholar]
  2. F.F. Jobsis, “Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters.” Science, vol. 198, no. 4323, pp.1264–1267, 1977. [CrossRef] [PubMed] [Google Scholar]
  3. Giuseppe, Lisi, and M. Jun. “EEG Single-Trial Detection of Gait Speed Changes during Treadmill Walk.” PLOS One, 2015, 10(4): e0125479. [CrossRef] [Google Scholar]
  4. Joseph T Gwin* and Daniel P Ferris. “An EEG-based study of discrete isometric and isotonic human lower limb muscle contractions.” Journal of neuroengineering and rehabilitation, 2012, 9:35. [CrossRef] [Google Scholar]
  5. Agnew, A. John, T. A. Zeffiro, and G. F. Eden. “Left hemisphere specialization for the control of voluntary movement rate.” Neuroimage, vol. 22, no. 1, pp.289–303, 2004. [CrossRef] [Google Scholar]
  6. Chan, C.K. Raymond, J. Huang, and X. Di. “Dexterous movement complexity and cerebellar activation: A meta-analysis.” Brain Research Reviews, vol. 59, no. 2, pp. 316–323, 2009. [CrossRef] [Google Scholar]
  7. S. Lee, and Y. Sankai, “Power assist control for walking aid with HAL-3 based on EMG and impedance adjustment around knee joint.” Intelligent Robots and Systems, vol. 2, pp.1499–1504, 2002. [Google Scholar]
  8. Scholkmann F, Kleiser S, Metz A J, Zimmermann R, Mata Pavia J, Wolf U and Wolf M. “A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology.” Neuroimage, vol. 6, no, 27, pp.85, 2014. [Google Scholar]
  9. Yamamoto, Toru, and T. Kato. “Paradoxical correlation between signal in functional magnetic resonance imaging and deoxygenated hemoglobin content in capillaries: a new theoretical explanation.” Physics in Medicine & Biology 2.6195, pp.938–938, 1979. [Google Scholar]
  10. Chen, W.G., et al., “Ischemic and bleeding disease monitoring with fNIRS imager.” One case report, in Saratov Fall Meeting ‘98: Light Scattering Technologies for Mechanics, Biomedicine, and Material Science, V.V. Tuchin, V.P. Ryabukho, and D.A. Zimnyakov, Editors. Spie-Int Soc Optical Engineering: Bellingham. pp. 540–544, 1999. [CrossRef] [Google Scholar]
  11. Kwee, I.L. and T. Nakada, “Dorsolateral prefrontal lobe activation declines significantly with age – Functional NIRS study.” Journal of Neurology, vol. 250, no. 5, pp. 525–529. 2003. [CrossRef] [Google Scholar]
  12. Hoshi, Y., S.J. Chen, and M. Tamura, “Spatiotemporal imaging of human brain activity by functional near-infrared spectroscopy.” American Laboratory, vol. 33, no. 20, pp. 35, 2001. [Google Scholar]
  13. Schroeter, M.L., et al., “Towards a standard analysis for functional near-infrared imaging.” Neuroimage, vol. 21, no. 1, pp. 283–290, 2004. [CrossRef] [MathSciNet] [Google Scholar]
  14. Blumen HM, Holtzer R, Brown LL, Gazes Y, Verghese J, Behavioral and neural correlates of imagined walking and walking-while-talking in the elderly. Hum Brain Mapp, 2014. [Google Scholar]
  15. Pietro Caliandro, Mariano Serrao, Luca Padua, Gabriella Silvestri, Chiara Iacovelli, Chiara Simbolotti, Silvia Mari, Giuseppe Reale, Carlo Casali and Paolo M. Rossini,” Prefrontal cortex as a compensatory network in ataxic gait: A correlation study between cortical activity and gait parameters.“ Restorative Neurology and Neuroscience, vol. 33, pp. 177–187, 2015. [Google Scholar]
  16. Lukas Jaeger, Laura Marchal-Crespo, Peter Wolf, Andreas R. Luft, Robert Riener, Lars Michels, Spyros Kollias, “On the Modulation of Brain Activation During Simulated Weight Bearing in Supine Gait-Like Stepping.“ Brain Topogr, vol. 29, pp. 193–205, 2016. [CrossRef] [Google Scholar]
  17. Shimadzu Corporation, Japan Kyoto, Instruction manual for functional optical imaging system FOIRE-3000 series, Manual No : M587-E005, Rev. B, Oct. 2010. [Google Scholar]
  18. Picard, Nathalie, and P. L. Strick. “Imaging the premotor areas.” Current Opinion in Neurobiology, vol. 11, no. 6, pp.663–672, 2001. [CrossRef] [Google Scholar]
  19. Zengyong, Li, “Wavelet analysis of skin blood oscillations in persons with spinal cord injury and able-bodied subjects.” Archives of Physical Medicine & Rehabilitation, vol. 87, no. 11, pp.7–8, 2007. [Google Scholar]
  20. Dario Farina, Omar Feix do Nascimento, Marie-Françoise Lucas, Christian Doncarli. “Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters.” Journal of Neuroscience Methods, vol. 162, pp.357–363, 2007. [CrossRef] [Google Scholar]
  21. Abry P, Aldroubi A. “Designing multiresolution analysis-type wavelets and their fast algorithms.” J Fourier Anal Appl, vol. 2, pp. 135–159, 1995. [CrossRef] [MathSciNet] [Google Scholar]
  22. Aldroubi A, Abry P, Unser M. “Construction of biorthogonal wavelets starting from any two resolutions.” IEEE Trans Sig Proc, vol. 46, pp. 1130–1133, 1998. [CrossRef] [MathSciNet] [Google Scholar]
  23. V.N. Vapnik, “An overview of statistical learning theory.” IEEE Transactions on Neural Networks, vol. 10, no. 10, pp.988–99, 1999. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.