MUMBAI, India, Oct. 31 -- Intellectual Property India has published a patent application (202411028049 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on April 4, 2024, for 'brain-computer interface for real-time detection and classification of seizures in epilepsy patient.'
Inventor(s) include Prof. Arpit Bhardwaj; and Dr. Vikas Kumar Jain.
The application for the patent was published on Oct. 31, under issue no. 44/2025.
According to the abstract released by the Intellectual Property India: "Brain-Computer Interface for Real-Time Detection and Classification of Seizures in Epilepsy Patient Abstract The present invention relates to a brain-computer interface (BCI) system for real-time detection and classification of seizures in epilepsy patients. The BCI system comprises a plurality of electroencephalography (EEG) electrodes, an amplifier connected to the electrodes, a signal processing unit, a seizure detection module, a seizure classification module, and a user interface. The signal processing unit performs preprocessing steps on the amplified brain signals, such as filtering and artifact removal. The seizure detection module employs a machine learning algorithm to identify potential seizure events, and the seizure classification module classifies the identified seizure events into different types of seizures based on features extracted from the processed brain signals. The user interface presents the classified seizure events in a graphical format, and an alert system notifies the user or a caregiver when a seizure event is detected and classified. The EEG electrodes can be wireless and connected to the amplifier via a wireless communication protocol. The invention also encompasses a method for real-time detection and classification of seizures using the BCI system."
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