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A review of infant cry analysis and classification
This paper reviews recent research works in infant cry signal analysis and classification
tasks. A broad range of literatures are reviewed mainly from the aspects of data acquisition …
tasks. A broad range of literatures are reviewed mainly from the aspects of data acquisition …
High-performance personalized heartbeat classification model for long-term ECG signal
Long-term electrocardiogram (ECG) has become one of the important diagnostic assist
methods in clinical cardiovascular domain. Long-term ECG is primarily used for the …
methods in clinical cardiovascular domain. Long-term ECG is primarily used for the …
A new hybrid intelligent system for accurate detection of Parkinson's disease
Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most
common neurodegenerative disorders due to the loss of dopamine-producing brain cells …
common neurodegenerative disorders due to the loss of dopamine-producing brain cells …
Automatic classification of infant cry: A review
This paper reviews the some of significant works on infant cry signal analysis proposed in
the past two decades and reviews the recent progress in this field. The cry of baby cannot be …
the past two decades and reviews the recent progress in this field. The cry of baby cannot be …
Infant cry classification by using different deep neural network models and hand-crafted features
Crying is the way babies communicate with the outside world. These cries may be related to
the needs of the baby or maybe an expression of a medical disorder. For this reason, infant …
the needs of the baby or maybe an expression of a medical disorder. For this reason, infant …
[HTML][HTML] Newborn cry-based diagnostic system to distinguish between sepsis and respiratory distress syndrome using combined acoustic features
Crying is the only means of communication for a newborn baby with its surrounding
environment, but it also provides significant information about the newborn's health …
environment, but it also provides significant information about the newborn's health …
Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification
Background and objective Infant cry signal carries several levels of information about the
reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status …
reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status …
Classification of asphyxia infant cry using hybrid speech features and deep learning models
Single speech feature such as Mel-Frequency Cepstral Coefficient (MFCC) has been used
in most of the studies to classify asphyxia cry among infants. Other speech features such as …
in most of the studies to classify asphyxia cry among infants. Other speech features such as …
Infant cry signal diagnostic system using deep learning and fused features
Early diagnosis of medical conditions in infants is crucial for ensuring timely and effective
treatment. However, infants are unable to verbalize their symptoms, making it difficult for …
treatment. However, infants are unable to verbalize their symptoms, making it difficult for …
Application of pattern recognition techniques to the classification of full-term and preterm infant cry
Objectives Scientific and clinical advances in perinatology and neonatology have enhanced
the chances of survival of preterm and very low weight neonates. Infant cry analysis is a …
the chances of survival of preterm and very low weight neonates. Infant cry analysis is a …