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Updated: Jun 5, 2025

Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
09:44

Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss

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基于过量采样技术的听力损失识别的混合统计和机器学习方法

Tang-Chuan Wang1, Ko-Han Sun2, Mingchang Chih2

  • 1Department of Otolaryngology-Head and Neck Surgery, China Medical University Hsinchu Hospital, Zhubei City, Hsinchu, 302056, Taiwan, ROC; Department of Master Program for Biomedical Engineering, College of Biomedical Engineering, China Medical University, Taichung, 404328, Taiwan, ROC; School of Medicine, College of Medicine, China Medical University, Taichung, 404328, Taiwan, ROC.

Computers in biology and medicine
|December 13, 2024
PubMed
概括

这项研究开发了一种混合机器学习模型,用于预测听力损失,实现高精度和效率. 该方法有效地识别了关键特征,有助于早期临床诊断和预测.

关键词:
功能选择 功能选择听力损失 听力损失后勤回归的逻辑回归多层感知器多层感知器支持矢量机器的支持矢量机器.合成少数人过量抽样技术

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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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