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Related Experiment Video

Updated: May 14, 2026

Laryngeal Mask Airway (LMA) Placement in a Neonatal Patient Simulator Using a Non-Inflatable Supraglottic Airway (SGA)

Laryngeal Mask Airway (LMA) Placement in a Neonatal Patient Simulator Using a Non-Inflatable Supraglottic Airway (SGA)

Published on: July 14, 2023

Asphyxia screening kit.

A Zabidi¹, L Y Khuan, W Mansor

¹Faculty of Electrical Engineering, University Teknologi Mara, 40450 Shah Alam, Selangor, Malaysia.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|February 1, 2013

Summary

A new non-invasive Asphyxia Screening Kit (ASK) automatically detects infant asphyxia from cries with 96.03% accuracy. This tool aids clinicians in early diagnosis, preventing severe complications in newborns.

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Last Updated: May 14, 2026

Laryngeal Mask Airway (LMA) Placement in a Neonatal Patient Simulator Using a Non-Inflatable Supraglottic Airway (SGA)

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Published on: July 14, 2023

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Published on: January 30, 2026

Area of Science:

Biomedical Engineering
Neonatal Health
Signal Processing

Background:

Infant asphyxia affects 4-9 million newborns annually, posing risks of brain damage, organ damage, and fatality.
Early diagnosis of infant asphyxia is crucial for preventing severe complications and improving outcomes.
Current screening methods may not be sufficient for timely and accurate diagnosis.

Purpose of the Study:

To develop and validate a non-invasive Asphyxia Screening Kit (ASK) for automated infant asphyxia detection.
To create a user-friendly Graphical User Interface (GUI) for rapid screening of neonatal distress.
To assess the accuracy and potential clinical utility of the developed screening tool.

Main Methods:

Development of a non-invasive Asphyxia Screening Kit (ASK) using MATLAB GUI.
Implementation of advanced signal processing algorithms to analyze infant cries.
Validation of the system's classification accuracy for detecting infant asphyxia.

Main Results:

The Asphyxia Screening Kit (ASK) achieved a high classification accuracy of 96.03%.
The system successfully automates the detection of infant asphyxia from cry analysis.
The GUI provides a clear display of analysis outcomes for clinicians.

Conclusions:

The developed non-invasive Asphyxia Screening Kit (ASK) shows significant potential for early and accurate infant asphyxia diagnosis.
Automated screening can assist clinicians in timely intervention, reducing mortality and morbidity.
The ASK system's integration capabilities with Hospital Information Management Systems enhance its clinical applicability.