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Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

This exploratory research aims to investigate the effect of common audio data compression algorithms, such as MP3, AAC (compression algorithm for M4 A), and WMA, on the vocal biomarker feature extraction process. Additionally, the effect of compression bitrate or encoder type will be analyzed to determine whether these factors make a difference within each format.

Jessica Oreskovic, Jaycee Kaufman, Yan Fossat

JMIR Biomed Eng 2024;9:e56246

Machine Learning and Symptom Patterns in Degenerative Cervical Myelopathy: Web-Based Survey Study

Machine Learning and Symptom Patterns in Degenerative Cervical Myelopathy: Web-Based Survey Study

Degenerative cervical myelopathy (DCM) is a progressive spinal cord injury caused by spinal cord compression from degenerative pathology and consists of various subcategories of pathology, including cervical spondylotic myelopathy, ossification of the posterior longitudinal ligament, ossification of the ligamentum flavum, and degenerative disc disease [1-4]. It is estimated to affect 2% of adults, although fewer than 10% are currently diagnosed [5,6].

Alvaro Yanez Touzet, Tanzil Rujeedawa, Colin Munro, Konstantinos Margetis, Benjamin M Davies

JMIR Form Res 2024;8:e54747