Newborn sleep state monitoring method and system
By using non-contact monitoring technology that combines millimeter-wave radar and cameras, the system extracts the breathing, heartbeat, and facial features of newborns, solving the problems of allergies and discomfort caused by skin contact in existing technologies, and achieving efficient and accurate sleep state monitoring.
CN121926554APending Publication Date: 2026-04-28SUN YAT SEN MEMORIAL HOSPITAL SUN YAT SEN UNIV
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Patent Information
- Application Number
- CN202610253599.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-03
- Publication Date
- 2026-04-28
AI Technical Summary
Technical Problem
Current neonatal sleep monitoring technology requires prolonged skin contact, which may cause skin allergies, restrict limb movement, and lead to discomfort or crying in infants.
Method used
A non-contact monitoring method combining millimeter-wave radar and cameras is adopted. Respiratory and heartbeat signal features are extracted from radar data, facial features are extracted by combining image recognition models, and feature fusion and classification are performed using self-attention mechanisms and machine learning models.
Benefits of technology
It achieves comfortable monitoring without skin contact or restriction of limb movement, improves the accuracy and robustness of sleep state recognition, adapts to different individual differences, and has good scalability.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a newborn sleep state monitoring method and system, and relates to the technical field of data processing, and the method comprises the steps: employing a millimeter wave radar and a camera which are not in contact with a newborn, and collecting millimeter wave radar data and face video data corresponding to the newborn; according to the millimeter wave radar data, respiratory signal features and heartbeat signal features are determined; extracting facial image features in the facial video data through an image recognition model; according to the feature weights of the breathing signal feature, the heartbeat signal feature and the facial image feature, performing feature fusion on the breathing signal feature, the heartbeat signal feature and the facial image feature to obtain a fusion feature; based on the fusion features, determining the sleep state of the newborn pair, and outputting the sleep state monitoring result of the newborn according to the sleep state of the newborn pair. According to the invention, the accuracy and robustness of sleep state recognition can be improved.
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