Spiking neural networks for physiological and speech signals: a review.

IF 3.2 4区 医学 Q2 ENGINEERING, BIOMEDICAL
Biomedical Engineering Letters Pub Date : 2024-06-25 eCollection Date: 2024-09-01 DOI:10.1007/s13534-024-00404-0
Sung Soo Park, Young-Seok Choi
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引用次数: 0

Abstract

The integration of Spiking Neural Networks (SNNs) into the analysis and interpretation of physiological and speech signals has emerged as a groundbreaking approach, offering enhanced performance and deeper insights into the underlying biological processes. This review aims to summarize key advances, methodologies, and applications of SNNs within these domains, highlighting their unique ability to mimic the temporal dynamics and efficiency of the human brain. We dive into the core principles of SNNs, their neurobiological underpinnings, and the computational advantages they bring to signal processing, particularly in handling the temporal and spatial complexities inherent in physiological and speech data. Comparative analyses with conventional neural network models are presented to underscore the superior efficiency, lower power consumption, and higher temporal resolution of SNNs. The review further explores challenges and future prospects, highlighting the potential of SNNs to revolutionize wearable healthcare monitoring systems, neuroprosthetic devices, and natural language processing technologies. By providing a comprehensive overview of current strategies, this review aims to inspire innovative approaches in the field, fostering advances in real-time and energy-efficient processing of complex biological signals.

用于生理和语音信号的尖峰神经网络:综述。
将尖峰神经网络(SNN)整合到生理和语音信号的分析和解释中,已成为一种开创性的方法,不仅能提高性能,还能深入了解潜在的生物过程。本综述旨在总结 SNNs 在这些领域的主要进展、方法和应用,突出其模仿人脑时间动态和效率的独特能力。我们深入探讨了 SNN 的核心原理、其神经生物学基础以及它们为信号处理带来的计算优势,尤其是在处理生理和语音数据固有的时间和空间复杂性方面。综述还介绍了与传统神经网络模型的比较分析,以强调神经网络的卓越效率、低功耗和更高的时间分辨率。综述进一步探讨了挑战和未来前景,强调了 SNNs 在革新可穿戴医疗监控系统、神经义肢设备和自然语言处理技术方面的潜力。通过对当前策略的全面概述,本综述旨在激发该领域的创新方法,促进复杂生物信号的实时和节能处理方面的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomedical Engineering Letters
Biomedical Engineering Letters ENGINEERING, BIOMEDICAL-
CiteScore
6.80
自引率
0.00%
发文量
34
期刊介绍: Biomedical Engineering Letters (BMEL) aims to present the innovative experimental science and technological development in the biomedical field as well as clinical application of new development. The article must contain original biomedical engineering content, defined as development, theoretical analysis, and evaluation/validation of a new technique. BMEL publishes the following types of papers: original articles, review articles, editorials, and letters to the editor. All the papers are reviewed in single-blind fashion.
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