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StellarisPat: A Novel Signum and LU-Ternary Feature Extraction Approach for Speech-Based Parkinson’s Disease Detection

2025-06-19

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<title>Abstract</title> <p>Parkinson’s disease classification (PDC) is a critical research area in digital health and machine learning. This study introduces a new textural feature extractor, StellarisPat, which leverages signum and ternary kernels for feature extraction. A multi-leveled feature extraction approach is employed, where levels are generated using multi level discrete wavelet transform (MDWT). Stella...

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Literature Corpus work: f27fbeac-8174-5194-8880-05027f5a23e2
DOI: 10.21203/rs.3.rs-6831689/v1

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