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Content Provider | IEEE Xplore Digital Library |
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Author | Camargo, V.C. Honorato da Silva, S. Freitas de Amorim, M. Nohama, P. |
Copyright Year | 2014 |
Description | Author affiliation: Graduation Program on Health Technol., PUCPR, Curitiba, Brazil (Honorato da Silva, S.; Freitas de Amorim, M.) || Graduation Program on Health Technol., Pontificia Univ. Catolica do Parana, Curitiba, Brazil (Camargo, V.C.) || Rehabilitation Eng. Lab., PUCPR, Curitiba, Brazil (Nohama, P.) |
Abstract | Apnea of prematurity is very frequent in premature newborns (PNB). If the apnea episode is not interrupted in time, it can cause several damages to the newborn's central nervous system. In this paper, we introduce a novel technology for detecting apnea of prematurity episodes, based on cardiac pulse frequency (PF) and arterial oxygen saturation (SpO2) simultaneously, and using vibrotactile stimulation to interrupt such episodes. The thresholds of the newborns' PF and SpO2 had been established to identify the apnea episode automatically through the proposed system: for babies ≤ 35 weeks gestation, PF is ≤ 100 bpm and SpO2 ≤ 80%; for babies > 35 weeks gestation, PF is ≤ 80 bpm and SpO2 ≤ 80%. The system used vibrotactile stimuli at 250 Hz for 4 s. To manage the system that activates the vibratory device automatically and registers those parameters, a program had been developed. It registers apnea occurrence, period of manual stimulation and vibratory stimulation duration. This technique was tested on 4 PNB. It was observed 10 apnea episodes and the device was successful in the detection of all of them. The vibrotactile stimulation was capable of promoting the return of respiratory movements in 9 of the 10 detected events of apnea and seemed to be a promising means of handling them. |
Sponsorship | IEEE Eng. Med. Biol. Soc. |
Starting Page | 2127 |
Ending Page | 2130 |
File Size | 762329 |
Page Count | 4 |
File Format | |
ISBN | 9781424479290 |
ISSN | 1557170X |
DOI | 10.1109/EMBC.2014.6944037 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-08-26 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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