Derivative-Guided Dual-Attention Mechanisms in Patch Transformer for Efficient Automated Recognition of Auditory Brainstem Response Latency

Derivative-Guided Dual-Attention Mechanisms in Patch Transformer for Efficient Automated Recognition of Auditory Brainstem Response Latency

Accurate recognition of auditory brainstem response (ABR) wave latencies is essential for clinical practice but remains a subjective and time-consuming process. Existing AI approaches face challenges in generalization, complexity, and semantic sparsity due to single sampling-point analysis. This stu...

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Bibliographic Details
Main Authors: Yin Liu, Huanghong Sun, Qiang Li, Kangkang Li, Xinxing Fu, Hao Zhu, Tiecheng Song, Yue Zhao, Tiantian Wang, Chenqiang Gao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Auditory brainstem response
patch Transformer
dual-attention mechanism
generalization
Online Access:https://ieeexplore.ieee.org/document/10955482/
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