• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用速度选择性记录对生理肌电图进行纤维选择性辨别:大鼠实验报告

Fibre-selective discrimination of physiological ENG using velocity selective recording: report on pilot rat experiments.

作者信息

Metcalfe Benjamin, Chew Daniel, Clarke Chris, Donaldson Nick, Taylor John

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:2645-8. doi: 10.1109/EMBC.2014.6944166.

DOI:10.1109/EMBC.2014.6944166
PMID:25570534
Abstract

This paper presents results from a pilot experiment in which the technique of velocity selective recording (VSR) was used to identify naturally occurring electroneurogram (ENG) signals within the intact nerve of a rat. Signals were acquired using a set of electrodes placed along the length of the nerve, formed from simple wire hooks. This basic form of recording has already been applied in-vivo to the analysis of electrically excited compound action potentials (CAPs) in both pig and frog, however, this method has never before been used to identify naturally occurring neural signals. Results in this paper highlight challenges which must be overcome in order for the transition to be made from electrically evoked potentials to naturally occurring signals.

摘要

本文介绍了一项初步实验的结果,该实验使用速度选择性记录(VSR)技术在大鼠完整神经内识别自然产生的神经电图(ENG)信号。信号是通过沿着神经长度放置的一组由简单金属丝钩构成的电极采集的。这种基本的记录形式已在体内应用于猪和青蛙电激发复合动作电位(CAP)的分析,然而,这种方法以前从未用于识别自然产生的神经信号。本文的结果突出了为从电诱发电位过渡到自然产生的信号必须克服的挑战。

相似文献

1
Fibre-selective discrimination of physiological ENG using velocity selective recording: report on pilot rat experiments.使用速度选择性记录对生理肌电图进行纤维选择性辨别:大鼠实验报告
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:2645-8. doi: 10.1109/EMBC.2014.6944166.
2
A new method for spike extraction using velocity selective recording demonstrated with physiological ENG in Rat.一种利用速度选择性记录提取峰电位的新方法,通过大鼠生理肌电图进行了验证。
J Neurosci Methods. 2015 Aug 15;251:47-55. doi: 10.1016/j.jneumeth.2015.05.003. Epub 2015 May 14.
3
An implantable ENG detector with in-system velocity selective recording (VSR) capability.一种具有系统内速度选择性记录(VSR)功能的植入式ENG探测器。
Med Biol Eng Comput. 2017 Jun;55(6):885-895. doi: 10.1007/s11517-016-1567-9. Epub 2016 Sep 16.
4
Fibre-selective recording from peripheral nerves using a multiple-contact cuff: report on pilot pig experiments.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:3103-6. doi: 10.1109/IEMBS.2011.6090847.
5
The Use of the Velocity Selective Recording Technique to Reveal the Excitation Properties of the Ulnar Nerve in Pigs.利用速度选择记录技术揭示猪尺神经的兴奋特性。
Sensors (Basel). 2021 Dec 23;22(1):58. doi: 10.3390/s22010058.
6
An enhancement to velocity selective discrimination of neural recordings: extraction of neuronal firing rates.神经记录速度选择性辨别能力的增强:神经元放电率的提取
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:4111-4. doi: 10.1109/EMBC.2014.6944528.
7
Fibre-selective recording from the peripheral nerves of frogs using a multi-electrode cuff.使用多电极袖套从青蛙的周围神经进行纤维选择性记录。
J Neural Eng. 2013 Jun;10(3):036016. doi: 10.1088/1741-2560/10/3/036016. Epub 2013 May 3.
8
Improved nerve cuff electrode recordings with subthreshold anodic currents.利用阈下阳极电流改善神经袖套电极记录。
IEEE Trans Biomed Eng. 1998 Aug;45(8):1044-50. doi: 10.1109/10.704873.
9
Tetrodotoxin-resistant conductivity and spinal effects of cutaneous C-fibre afferents in the rat.大鼠皮肤C纤维传入纤维的河豚毒素抗性电导率及脊髓效应
Neurosci Res. 2001 Apr;39(4):413-9. doi: 10.1016/s0168-0102(01)00198-5.
10
The classification and identification of human somatic and parasympathetic nerve fibres including urinary bladder afferents and efferents is preserved following spinal cord injury.包括膀胱传入神经和传出神经在内的人体躯体神经和副交感神经纤维的分类与识别在脊髓损伤后得以保留。
Electromyogr Clin Neurophysiol. 2009 Sep-Oct;49(6-7):263-86.

引用本文的文献

1
Time series classification of multi-channel nerve cuff recordings using deep learning.使用深度学习对多通道神经袖套记录进行时间序列分类。
PLoS One. 2024 Mar 12;19(3):e0299271. doi: 10.1371/journal.pone.0299271. eCollection 2024.
2
The Use of the Velocity Selective Recording Technique to Reveal the Excitation Properties of the Ulnar Nerve in Pigs.利用速度选择记录技术揭示猪尺神经的兴奋特性。
Sensors (Basel). 2021 Dec 23;22(1):58. doi: 10.3390/s22010058.
3
Compensation Strategies for Bioelectric Signal Changes in Chronic Selective Nerve Cuff Recordings: A Simulation Study.
慢性选择性神经袖套记录中生物电信号变化的补偿策略:一项仿真研究。
Sensors (Basel). 2021 Jan 12;21(2):506. doi: 10.3390/s21020506.
4
Classification of naturally evoked compound action potentials in peripheral nerve spatiotemporal recordings.外周神经时空记录中自然诱发复合动作电位的分类。
Sci Rep. 2019 Jul 31;9(1):11145. doi: 10.1038/s41598-019-47450-8.
5
A microfabricated nerve-on-a-chip platform for rapid assessment of neural conduction in explanted peripheral nerve fibers.用于快速评估离体周围神经纤维神经传导的微制造神经芯片平台。
Nat Commun. 2018 Oct 23;9(1):4403. doi: 10.1038/s41467-018-06895-7.