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
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;
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
DOI :
10.1109/ICNSC.2013.6548768