Latency Localization of Auditory Brainstem Response by Different Deep Learning Methods-Reference-Cited by-同舟云学术

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Latency Localization of Auditory Brainstem Response by Different Deep Learning Methods

Published:2023-07-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Real-time Computing and Robotics (RCAR)
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Author:

Ji Junyu¹,Wang Xin¹,Jia Desheng²,Zhao Chunrui²,He Yuchao¹,Ahmad Ijaz¹,Zhu Mingxing³,Pan Hongguang²,Chen Shixiong¹,Li Guanglin¹

Affiliation:

1. Chinese Academy of Sciences,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology,Shenzhen,China,518055

2. Shenzhen Children's Hospital,Department of Otolaryngology,Shenzhen,China,518033

3. Harbin Institute of Technology,School of Electronics and Information Engineering,Shenzhen,China,518055

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249208/10249018/10249229.pdf?arnumber=10249229

Reference14 articles.

1. Photoperiod sensitivity of Canadian flax cultivars and 5-azacytidine treated early flowering derivative lines

2. Characterizing dissimilarity of weighted networks

3. Automatic Recognition of Auditory Brainstem Response Characteristic Waveform Based on Bidirectional Long Short-Term Memory

4. Automated Analysis of the Auditory Brainstem Response Using Derivative Estimation Wavelets;bradley;Audiology and Neurotology,2004

5. Automated interpretation of brainstem auditory evoked potentials: a prototype system

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