MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641003452 A) filed by Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College; R. Prabu; M. Hemalatha; R. Monica; M. Sharmila; and S. R. Sri Mahalakshmi, Chennai, Tamil Nadu, on Jan. 13, for 'epialert-a wearable iot based device for early detection and alerting of epileptic seizures.'

Inventor(s) include R. Prabu; M. Hemalatha; R. Monica; M. Sharmila; and S. R. Sri Mahalakshmi.

The application for the patent was published on March 13, under issue no. 11/2026.

According to the abstract released by the Intellectual Property India: "Epilepsy is a neurological condition that involves recurrent and unpredictable attack seizures, which can create a major safety concern, especially in situations where access to a rescue team is delayed. The proposed system uses a wearable technology with a real-time alerting mechanism for epileptic attack detection, which is intended to operate continuously in a real-world setup. The system comprises a low-power wearable device based on a XIAO nRF52840 Sense microcontroller with connections to various sensors such as an acceleration sensor, sweat sensor, and temperature sensor. The multi-sensor data is continuously collected and processed in real-time by a machine learning model that runs on the wearable device to detect seizures without depending on the cloud for computation. It has the capability to identify seizures from normal activity by processing patterns from multi-sensor data to eliminate false alarms associated with threshold detection systems. It will automatically trigger a local audible alert when a seizure event is detected and send an emergency notification with event details along with real-time location information via wireless communication to the designated caregiver or emergency contact. The device is powered by a rechargeable lithiumion battery supported by a battery management system that allows for safe continuous and energyefficient operation .The invention proposed is a compact, non-invasive, low-cost wearable solution for enhancing the reliability in seizure detection, ensuring quick response during emergencies, and improving the safety and quality of life of persons with epilepsy, while being suitable for--personal healthcare monitoring and assisted living."

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