An Efficient Classification of Neonates Cry Using Extreme Gradient Boosting‐Assisted Grouped‐Support‐Vector Network

CY Chang, S Bhattacharya… - Journal of healthcare …, 2021 - Wiley Online Library
The cry is a loud, high pitched verbal communication of infants. The very high fundamental
frequency and resonance frequency characterize a neonatal infant cry having certain …

Infant cries convey both stable and dynamic information about age and identity

M Lockhart-Bouron, A Anikin, K Pisanski… - Communications …, 2023 - nature.com
What information is encoded in the cries of human babies? While it is widely recognized that
cries can encode distress levels, whether cries reliably encode the cause of crying remains …

CNN‐SCNet: A CNN net‐based deep learning framework for infant cry detection in household setting

R Jahangir - Engineering Reports, 2024 - Wiley Online Library
Infants are vulnerable to several health problems and cannot express their needs clearly.
Whenever they are in a state of urgency and require immediate attention, they cry, which is a …

A Narrative Review on Different Novel Machine Learning Techniques for Detecting Pathologies in Infants From Born Baby Cries

P Kumari, K Mahto - Journal of Voice, 2024 - Elsevier
This paper reviews the research work on the analysis and classification of pathological
infant cries in the last 50 years. The literature review mainly covers the need and role of …

On the use of long-term features in a newborn cry diagnostic system

FS Matikolaie, C Tadj - Biomedical Signal Processing and Control, 2020 - Elsevier
This study proposes using a novel combination of short-term and long-term features from
different timescales to develop an automatic newborn cry diagnostic system to differentiate …

Infant facial expression analysis: towards a real-time video monitoring system using r-cnn and hmm

C Li, A Pourtaherian, L van Onzenoort… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
The manual monitoring of young infants suffering from diseases like reflux is significant,
since infants can hardly articulate their feelings. In this work, we propose a video-based …

An entropy-based architecture for detection of sepsis in newborn cry diagnostic systems

Z Khalilzad, Y Kheddache, C Tadj - Entropy, 2022 - mdpi.com
The acoustic characteristics of cries are an exhibition of an infant's health condition and
these characteristics have been acknowledged as indicators for various pathologies. This …

Deep learning for asphyxiated infant cry classification based on acoustic features and weighted prosodic features

C Ji, X Xiao, S Basodi, Y Pan - 2019 International conference …, 2019 - ieeexplore.ieee.org
Asphyxia is a respiratory injury that leads to a serious damage for infants. Early detection of
asphyxia using Artificially Intelligent technology helps in reducing infant mortality rate when …

A self-training automatic infant-cry detector

G Coro, S Bardelli, A Cuttano, RT Scaramuzzo… - Neural Computing and …, 2023 - Springer
Infant cry is one of the first distinctive and informative life signals observed after birth.
Neonatologists and automatic assistive systems can analyse infant cry to early-detect …

Infant sound classification on multi-stage cnns with hybrid features and prior knowledge

C Ji, S Basodi, X Xiao, Y Pan - International Conference on AI and Mobile …, 2020 - Springer
We propose an approach of generating a hybrid feature set and using prior knowledge in a
multi-stage CNNs for robust infant sound classification. The dominant and auxiliary features …