MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072347 A) filed by Koneru Vijaya Lakshmi; Koneru Lakshmaiah Education Foundation; G. Hema Sudha Rani; and Senthil Athithan on June 11, 2026, for A Quantum Cellular Automata-Based Speech Signal Classification System For Early Parkinson’s Disease Screening..
Inventors include G. Hema Sudha Rani; and Senthil Athithan.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention is related to a Quantum Cellular Automata-based speech signal classification system for early Parkinson’s disease screening. The system comprises a speech acquisition unit, preprocessing unit, feature extraction unit, feature encoding unit, QCA-based classifier, and output unit. Speech biomarkers including jitter, shimmer, pitch variation, harmonic-to-noise ratio, Mel-frequency cepstral coefficients, formant variation, energy variation, and voice tremor are extracted from a subject’s speech sample. The extracted features are normalized and encoded into QCA-compatible digital representations. A QCA-based classifier comprising majority gates, inverters, comparators, multiplexers, memory cells, and decision logic circuits processes the encoded features to generate a Parkinson’s screening result. The invention provides a compact, low-power, real-time, and non-invasive system suitable for portable biomedical devices, point-of-care screening, and privacy-preserving speech-based neurological assessment.
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