Robust Signal Processing for Tissue Glucose Sensor

组织葡萄糖传感器的鲁棒信号处理

• 批准号: 6951855
• 负责人: Joseph Y. Lucisano
• 金额: $ 56.66万
• 依托单位: GLYSENS, INC.
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6951855
• 关键词: bioengineering /biomedical engineering; biological signal transduction; biomedical device power system; biomedical equipment development; biosensor device; biotechnology; blood chemistry; blood glucose; clinical biomedical equipment; diabetes mellitus; diagnosis design /evaluation; diagnosis quality /standard; electrodes; hyperglycemia; hypoglycemia; implant; mathematical model; medical implant science; monitoring device; oxygen tension; swine; telemetry

DESCRIPTION (provided by applicant): A continuous, implanted glucose sensor for diabetics would provide warnings of hypoglycemia and information for improved insulin replacement either by conventional injection, mechanical insulin pumps, or other means. We have already developed a sensor that shows promise. The sensor employs immobilized glucose oxidase coupled to a potentiostatic oxygen electrode. We have employed one version of the sensor as a central venous implant in dogs for over 100 days without the need for recalibration, and similar results from intravascular application in humans with another version have been reported by other groups. These successes were achieved by combinations of novel sensor design and the use of inherently stable enzymes. However, application in tissues, which is expected to be safer and more desirable, requires the development of new signal processing techniques. In Phase I, we developed novel signal processing algorithms suitable for sensors implanted in a complex tissue environment. In this Phase II project, the signal processing algorithms will be applied prospectively in extensive, new animal implant evaluations. This work represents significant innovation over previous work and is a crucial step toward implementation of a long-term implantable tissue-based glucose sensor.

描述（由申请人提供）：用于糖尿病患者的连续植入式葡萄糖传感器将通过常规注射、机械胰岛素泵或其他方式提供低血糖警告和改善胰岛素替代的信息。我们已经开发出一种显示出希望的传感器。该传感器采用固定化葡萄糖氧化酶耦合到恒电位氧电极。我们已经将一种版本的传感器作为犬的中心静脉植入物使用了100多天，而无需重新校准，其他研究组也报告了将另一种版本的传感器用于人体血管内的类似结果。这些成功是通过新型传感器设计和使用固有稳定的酶的组合实现的。然而，在组织中的应用，这是预期更安全和更可取的，需要新的信号处理技术的发展。在第一阶段，我们开发了适用于植入复杂组织环境中的传感器的新型信号处理算法。在该II期项目中，信号处理算法将前瞻性地应用于广泛的新动物植入物评价。这项工作是对以前工作的重大创新，是实现长期植入式组织葡萄糖传感器的关键一步。