MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611062785 A) filed by Sharda University on May 18, 2026, for A System For Eeg-Based Schizophrenia Detection Using Distributed- Activation Bilstm, Statistical Multi-Head Attention, And Stochastic Guided Foraging Optimization.
Inventors include Sheenam Naaz; Shalbbya Ali; and Dr. Suraiya Parveen.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT A SYSTEM FOR EEG-BASED SCHIZOPHRENIA DETECTION USING DISTRIBUTED-ACTIVATION BILSTM, STATISTICAL MULTI-HEAD ATTENTION, AND STOCHASTIC GUIDED FORAGING OPTIMIZATION Disclosed is a computer-implemented system and method for automated detection of schizophrenia from electroencephalogram (EEG) signals. Raw EEG data acquired from a subject is preprocessed to remove noise and subjected to hybrid feature extraction to obtain statistical and time-frequency features capturing time-domain and frequency-domain information. The extracted features are provided to a deep learning detection model including a bidirectional long short-term memory architecture with distributed activation functions across layers and statistical multi-head attention to capture informative signal regions and inter-region relationships. Model parameters is tuned using stochastic guided foraging optimization to reduce local optima, and an output classification indicates normal or schizophrenic condition. Fig. 1
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