ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)||5|
|Section||Session 1: Robotics|
|Published online||05 September 2017|
- M. Cope, “Methods of Quantitating Cerebral Near Infrared Spectroscopy Data.” Advances in Experimental Medicine & Biology, vol. 222, pp.183–189, 1988. [CrossRef] [Google Scholar]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- Shimadzu Corporation, Japan Kyoto, Instruction manual for functional optical imaging system FOIRE-3000 series, Manual No : M587-E005, Rev. B, Oct. 2010. [Google Scholar]
- 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]
- 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]
- 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]
- 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]
- 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]
- V.N. Vapnik, “An overview of statistical learning theory.” IEEE Transactions on Neural Networks, vol. 10, no. 10, pp.988–99, 1999. [Google Scholar]
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