MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042220 A) filed by Rahina Yasmin R, Villupuram, Tamil Nadu, on April 2, for 'an intelligent pillow-based sleep intervention system using physiological signal monitoring.'

Inventor(s) include U. Palani; Rahina Yasmin. R; Sivasakthi. T; Saniyalakshmi. B; Raghul. P; Preethi. S; and Sangeetha. R.

The application for the patent was published on April 17, under issue no. 16/2026.

According to the abstract released by the Intellectual Property India: "Sleep disturbances such as snoring, irregular sleep patterns, and nightmares are becoming increasingly common, particularly among individuals with demanding lifestyles. Existing solutions primarily focus on monitoring sleep data and lack the ability to provide real-time assistance during such disturbances. The present invention introduces an intelligent pillow-based sleep intervention system designed to both monitor and actively improve sleep quality. The proposed system is integrated into an orthopedic cervical pillow to ensure user comfort, while embedding flexible sensors capable of detecting physiological and behavioral signals such as heart rate patterns, body movement, and sound. The sound detection unit is configured to activate only when a predefined threshold is exceeded, ensuring efficient operation and user privacy. These signals are continuously monitored and analyzed to identify abnormal sleep conditions. Based on the detected conditions, the system performs adaptive interventions. In the case of snoring, a mild vibration is generated to encourage positional adjustment without significantly disturbing sleep. In situations involving abnormal sleep patterns, such as nightmares identified through increased heart rate and irregular movement, the system triggers a stronger vibration or a mobile notification to assist the user in waking up. The system is further supported by a mobile application that tracks sleep duration and analyzes user sleep behavior over time. Using Artificial Intelligence, the application identifies patterns associated with stress, poor sleep quality, and irregular habits, and provides personalized recommendations to improve overall well-being. Additionally, the system generates periodic sleep reports while ensuring user privacy through temporary data storage and automatic deletion after a defined duration. The electronic components are designed as a detachable module, and sensors are strategically placed in low-pressure regions of the pillow to maintain comfort, usability, and durability. By combining physiological signal monitoring, real-time adaptive intervention, and AI-based analysis within a non-wearable platform, the proposed system provides an effective, practical, and user-centric solution for improving sleep quality and overall health."

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