Luca Pollonini

Summary

Affiliation: University of Houston
Country: USA

Publications

  1. doi request reprint Functional connectivity networks in the autistic and healthy brain assessed using Granger causality
    Luca Pollonini
    Department of Engineering Technology, University of Houston, Houston, TX, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:1730-3. 2010
  2. doi request reprint Auditory cortex activation to natural speech and simulated cochlear implant speech measured with functional near-infrared spectroscopy
    Luca Pollonini
    Abramson Center for the Future of Health and Department of Engineering Technology, University of Houston, 300 Technology Building, Suite 123, Houston, TX 77204, USA Electronic address
    Hear Res 309:84-93. 2014
  3. doi request reprint Integrated device for the measurement of systemic and local oxygen transport during physical exercise
    Luca Pollonini
    Abramson Center for the Future of Health and Department of Engineering Technology, University of Houston, TX 77204, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:3760-3. 2012
  4. doi request reprint A novel handheld device for use in remote patient monitoring of heart failure patients--design and preliminary validation on healthy subjects
    Luca Pollonini
    College of Technology, University of Houston, Houston, TX, USA
    J Med Syst 36:653-9. 2012
  5. doi request reprint Information communication networks in severe traumatic brain injury
    Luca Pollonini
    Biomedical Imaging Lab, Department of Engineering Technology, University of Houston, 218 Philip G Hoffman Hall, Houston, TX, 77204 3058, USA
    Brain Topogr 23:221-6. 2010

Detail Information

Publications5

  1. doi request reprint Functional connectivity networks in the autistic and healthy brain assessed using Granger causality
    Luca Pollonini
    Department of Engineering Technology, University of Houston, Houston, TX, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:1730-3. 2010
    ..5% accuracy in separating the two groups. These findings suggest that analysis of functional connectivity patterns may provide a valuable method for the early detection of autism...
  2. doi request reprint Auditory cortex activation to natural speech and simulated cochlear implant speech measured with functional near-infrared spectroscopy
    Luca Pollonini
    Abramson Center for the Future of Health and Department of Engineering Technology, University of Houston, 300 Technology Building, Suite 123, Houston, TX 77204, USA Electronic address
    Hear Res 309:84-93. 2014
    ..These data collected using fNIRS are consistent with the fMRI literature and thus demonstrate the feasibility of using this technique to objectively detect differences in cortical responses to speech of different intelligibility. ..
  3. doi request reprint Integrated device for the measurement of systemic and local oxygen transport during physical exercise
    Luca Pollonini
    Abramson Center for the Future of Health and Department of Engineering Technology, University of Houston, TX 77204, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:3760-3. 2012
    ..This study shows that combined NIRS, ECG and PPG measurements yield useful information to understand the interplay between systemic and local muscular responses to exercise...
  4. doi request reprint A novel handheld device for use in remote patient monitoring of heart failure patients--design and preliminary validation on healthy subjects
    Luca Pollonini
    College of Technology, University of Houston, Houston, TX, USA
    J Med Syst 36:653-9. 2012
    ..80. We found that systolic time intervals did not improve the model significantly. However, STIs did inversely correlate with increasing workloads...
  5. doi request reprint Information communication networks in severe traumatic brain injury
    Luca Pollonini
    Biomedical Imaging Lab, Department of Engineering Technology, University of Houston, 218 Philip G Hoffman Hall, Houston, TX, 77204 3058, USA
    Brain Topogr 23:221-6. 2010
    ..The results of this study suggest that analysis of brain connectivity networks based on GC can be a highly accurate approach for classifying subjects affected by severe traumatic brain injury...