• DocumentCode
    612865
  • Title

    Infant cry classification integrated ANC system for infant incubators

  • Author

    Lichuan Liu ; Kuo, K. ; Kuo, S.M.

  • Author_Institution
    Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    383
  • Lastpage
    387
  • Abstract
    The high noise level inside the infant incubator results in numerous adverse health effects for premature newborns and the active noise control (ANC) systems are developed to reduce the noise. This paper proposes an infant cry classification integrated ANC system for infant incubators. The developed system can dramatically reduce the harmful noise level, and the integrated infant cry detector and analyzer can monitor the infants´ physical conditions. The infant cry signals are picked up and detected by the same microphones used by the ANC system, the cry signal´s features are extracted and then recognized. The simulation and experiment results show that the cry recognition of specific infants yielded promising results.
  • Keywords
    acoustic signal detection; acoustic signal processing; active noise control; feature extraction; medical signal detection; medical signal processing; microphones; paediatrics; patient monitoring; signal classification; signal denoising; active noise control systems; cry signal feature extraction; harmful noise level; high noise level; infant cry classification integrated ANC system; infant cry signal detection; infant incubators; infant physical condition monitoring; integrated infant cry analyzer; integrated infant cry detector; microphones; numerous adverse health effects; premature newborns; signal recognition; Acoustics; Noise; Pediatrics; Infant cry classification; active noise control; infant incubator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on
  • Conference_Location
    Evry
  • Print_ISBN
    978-1-4673-5198-0
  • Electronic_ISBN
    978-1-4673-5199-7
  • Type

    conf

  • DOI
    10.1109/ICNSC.2013.6548768
  • Filename
    6548768