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Background
Current pediatric resuscitation guidelines suggest that resuscitators using an advanced airway deliver 8‐10 breaths per minute while carefully avoiding excessive ventilation. In the intraoperative setting, having a dedicated ventilation rescuer may be difficult because of limited personnel. Continuing pressure‐controlled mechanical ventilation during resuscitation for intraoperative cardiac...
Infant Cry is the only communication for infant to express their feeling. It has been proven by numerous reports that infant cry can be used to detect asphyxia using appropriate signal processing technique. This paper presents the classification of infant cries with asphyxia using a Simulink model developed for a digital signal processor. The main components of the model are Mel Frequency Cepstrum...
An investigation into the performance of SVM with linear kernel and features ranked by OLS, to discriminate infants with asphyxia from their cries, is presented in this paper. The features of the cry signal were first transformed into MFC coefficients. The input feature set was then used for classification by SVM with linear kernel. The number of coefficients and filter banks were tuned to acquire...
This paper describes the classification of infant cry with asphyxia using orthogonal least square based support vector machine with polynomial kernel. Optimization of input feature set and filter bank number of mel frequency cepstrum coefficient were performed to produce accurate results. These input feature sets were classified using support vector machine (SVM) with polynomial kernel. To enhance...
This paper investigates the effect of optimizing Support Vector Machine, with linear and RBF kernels, on its performance in classifying asphyxiated infant cries, with Orthogonal Least Square. Mel Frequency Cepstrum analysis first extracts feature from the infant cry signals. The extracted features are then ranked in accordance to its error reduction ratio with OLS. SVM with linear and RBF kernel then...
Asphyxia refers to respiratory failure in infants, a condition caused by inadequate intake of oxygen. It is important to diagnose asphyxia in infants as early as possible, as it could lead to infant morbidity. PCA has the capability to reduce the dimension of input feature vector to SVM. Previous attempts with PCA and SVM to detect asphyxia from baby cries found their principal components in a random...
Combined Support Vector Machine (SVM) and Principal Component Analysis (PCA) was used to recognize the infant cries with asphyxia. SVM classifier based on features selected by the PCA was trained to differentiate between pathological and healthy cries. The PCA was applied to reduce dimensionality of the vectors that serve as inputs to the SVM. The performance of the SVM utilizing linear and RBF kernel...
Feature extraction techniques for input representation to diagnose infant diseases have received significant attention recently. Mel Frequency Cepstral Coefficients (MFCC) is one of the most popular feature extraction techniques due to its representation method being very similar to the human auditory system. The MFCC method for feature extraction depends on several important parameter settings, namely...
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