AI Maternity Alert-Monitor

An integrated AI-based medical monitoring solution for nursing hospitals, general hospitals, and home care settings. The system uses deep learning-based real-time video analysis to monitor patient behavior patterns, predict fall risks, detect bed exits, and manage pressure ulcer prevention. It provides 24-hour automated surveillance with infrared night vision support, generates real-time alerts within 1 second, and integrates with existing Hospital Information Systems (HIS) and Electronic Medical Records (EMR) for comprehensive patient safety management.

An AI-powered care nursing system designed to monitor elderly individuals and prevent falls. The system uses wearable devices worn during daily activities and employs AI-based analysis of human posture and body movement to detect abnormal behaviors comprehensively. It can identify specific fall risks and provide early warnings to caregivers, addressing the need for 24-hour monitoring of elderly care patients.

AI-powered remote fetal and maternal monitoring system that provides real-time cardiotocographic data and automated analysis for obstetric care. Integrates wireless connectivity with cloud-based central monitoring capabilities, enabling simultaneous multi-bed patient surveillance across healthcare facilities. Designed for labor wards, delivery rooms, and antepartum clinics to enhance maternal-fetal safety through continuous remote surveillance.

Cloud-based telemedicine platform for remote monitoring and management of maternal and fetal health with intelligent hardware integration.

Integrated health monitoring platform combining clinical assessment tools and remote monitoring capabilities. Supports continuous maternal and child health surveillance.

Proactive AI platform for monitoring infants' sleep, safety, health metrics, and developmental milestones. The system provides automated analysis and alerts for newborn and infant health and safety management.

An AI-powered safety monitoring system designed for healthcare facilities. It utilizes artificial intelligence, human body temperature measurement devices, and measurement technology to establish a comprehensive safety knowledge system across all areas of medical facilities. The system enables automated management and monitoring capabilities for safety personnel to conduct safety management work in the first response.

Proprietary software utilizing artificial intelligence algorithms for automated analysis of fetal heart rate patterns and monitoring data interpretation. Generates diagnostic conclusions and scoring assessments to support standardized fetal status evaluation across clinical settings.

AI-based patient care monitoring system that leverages artificial intelligence to collect, analyze, and track patient vital signs and clinical data in real-time. Designed to support clinical decision-making and continuous patient monitoring across hospital and home care settings.

Integrated home monitoring system connecting pregnant patients with hospital physicians through wireless technology and cloud computing platforms. Enables real-time transmission of fetal monitoring data with mobile application access for pregnant women and healthcare providers.

Telemedicine platform combining portable fetal monitoring terminal with provider and patient apps to enable remote antepartum fetal heart rate monitoring outside hospital settings.

Healthcare software for perinatal period health management including fetal umbilical cord blood flow detection and children's growth development evaluation. Integrated system for monitoring and managing maternal and child health.