Browsing by Subject "Preterm infant"
Now showing items 1-3 of 3
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Detecting bursts in the EEG of very and extremely premature infants using a multi-feature approach (2017)Aim: To develop a method that segments preterm EEG into bursts and inter-bursts by extracting and combining multiple EEG features. Methods: Two EEG experts annotated bursts in individual EEG channels for 36 preterm infants with gestational age <30 weeks. The feature set included spectral, amplitude, and frequency-weighted energy features. Using a consensus annotation, feature selection removed redundant features and a support vector machine combined features. Area under the receiver operator characteristic (AUC) and Cohen's kappa (K) evaluated performance within a cross-validation procedure. Results: The proposed channel-independent method improves AUC by 4-5% over existing methods (p <0.001, n = 36), with median (95% confidence interval) AUC of 0.989 (0.973-0.997) and sensitivity -specificity of 95.8-94.4%. Agreement rates between the detector and experts' annotations, K = 0.72 (0.36-0.83) and K = 0.65 (0.32-0.81), are comparable to inter-rater agreement, K = 0.60 (0.21-0.74). Conclusions: Automating the visual identification of bursts in preterm EEG is achievable with a high level of accuracy. Multiple features, combined using a data-driven approach, improves on existing single-feature methods. (C) 2017 The Authors. Published by Elsevier Ltd on behalf of IPEM.
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(2020)Objective: Auditory change-detection responses provide information on sound discrimination and memory skills in infants. We examined both the automatic change-detection process and the processing of emotional information content in speech in preterm infants in comparison to full-term infants at term age. Methods: Preterm (n = 21) and full-term infants' (n = 20) event-related potentials (ERP) were recorded at term age. A challenging multi-feature mismatch negativity (MMN) paradigm with phonetic deviants and rare emotional speech sounds (happy, sad, angry), and a simple one-deviant oddball paradigm with pure tones were used. Results: Positive mismatch responses (MMR) were found to the emotional sounds and some of the phonetic deviants in preterm and full-term infants in the multi-feature MMN paradigm. Additionally, late positive MMRs to the phonetic deviants were elicited in the preterm group. However, no group differences to speech-sound changes were discovered. In the oddball paradigm, preterm infants had positive MMRs to the deviant change in all latency windows. Responses to non-speech sounds were larger in preterm infants in the second latency window, as well as in the first latency window at the left hemisphere electrodes (F3, C3). Conclusions: No significant group-level differences were discovered in the neural processing of speech sounds between preterm and full-term infants at term age. Change-detection of non-speech sounds, however, may be enhanced in preterm infants at term age. Significance: Auditory processing of speech sounds in healthy preterm infants showed similarities to full-term infants at term age. Large individual variations within the groups may reflect some underlying differences that call for further studies.
