Detecting bladder volume and pressure from sacral nerve signals: the key to future artificial control

从骶神经信号检测膀胱容量和压力：未来人工控制的关键

• 批准号: EP/P015999/1
• 负责人: Nicholas Donaldson
• 金额: $ 13.61万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FP015999%2F1
• 关键词: Detecting; bladder; volume; pressure; sacral

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

目前GtR中并没有提供所有资助研究的摘要。这通常是因为在提交提案时不需要摘要，但也可能是因为它包含敏感信息，如个人详细信息。

项目成果

The Effects of the Presence of Multiple Conduction Velocities in the Analysis of Electrically-Evoked Compound Action Potentials (eCAPs).

多个传导速度的存在对电诱发复合动作电位 (eCAP) 分析的影响。

• DOI: 10.1109/embc44109.2020.9175953
• 发表时间: 2020
• 期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
• 作者: Taylor J

Selective Recording of Urinary Bladder Fullness from the Extradural Sacral Roots.

从硬膜外骶根选择性记录膀胱充盈度。

• DOI: 10.1109/embc44109.2020.9176038
• 发表时间: 2020
• 期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
• 作者: Metcalfe B

CMOS Analogue Velocity-Selective Neural Processing System

CMOS 模拟速度选择神经处理系统

• DOI: 10.3390/electronics13030569
• 发表时间: 2024
• 期刊: Electronics
• 影响因子: 2.9
• 作者: Sadrafshari S