EAGER: Integrated Self-Calibrated Analog Front-End for Biopotential and Bioimpedance Measurements

EAGER：用于生物电势和生物阻抗测量的集成自校准模拟前端

• 批准号: 1349692
• 负责人: Marvin Onabajo
• 金额: $ 19.93万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1349692&HistoricalAwards=false
• 关键词: EAGER; Integrated; Self; Calibrated; Analog

EAGER: Integrated Self-Calibrated Analog Front-End for Biopotential and Bioimpedance Measurements Intellectual Merit: This research addresses the need for enhancements of integrated analog circuits to permit reliable measurements of biosignals over prolonged time periods. The all-encompassing goals are to realize input impedance boosting and on-chip calibration in order to enable the use of dry electrodes as well as to alleviate the impact of manufacturing process variations of complementary metal-oxide-semiconductor fabrication technologies. A prototype chip will be fabricated and tested to experimentally validate the proposed concepts while meeting or exceeding state-of-the-art performance specifications. The instrumentation amplifier in the system will be designed with a feedback loop that boosts the input impedance for measurements of biopotentials and bioimpedances with dry electrodes. Extra circuitry will also be developed to automatically optimize the suppression of undesired common-mode interference signals at the input. The auxiliary analog test signal generation circuits and digital calibration circuits will be integrated together on the same chip as the analog front-end system. Broader Impacts: This project will give rise to circuit design methods that enable long-term brain signal acquisitions with dry electrodes interfaced to highly integrated chips. The results will improve systems for monitoring of brain signals during epilepsy diagnosis, drowsiness detection, and the recognition of intentions in order to allow an incapacitated patient to communicate or to control robots. Since the same type of instrumentation amplifier and similar analog front-end architectures are frequently found in measurement circuits for bioimpedances, the outcomes of this research will also be applicable to the design of integrated circuits for cancer and injury detection, movement sensing of body organs, and implantable pacemakers. Due to the reliability enhancement prospects with the proposed built-in testing and calibration techniques, the work can potentially provide a viable path for sustainable performance improvements of portable and implantable medical devices through the use of advanced fabrication technologies with high process variations. Knowledge obtained from this project will be integrated into graduate and undergraduate education, and it will be shared publicly to contribute to the advancement of design and test engineering methods in the semiconductor industry.

渴望：用于生物电位和生物阻抗测量的综合自我校准的模拟前端智力优点：这项研究解决了对综合模拟回路增强的需求，以允许在延长时间段内的生物信号进行可靠的测量。无所不包的目标是实现投入阻抗的提升和芯片校准，以便能够使用干电极，并减轻互补金属氧化物 - 氧化物 - 氧化物 - 氧化型制造技术变化的影响。将制造和测试原型芯片，以在满足或超过最先进的性能规范时实验验证所提出的概念。系统中的仪表放大器将采用反馈回路设计，从而提高了用干电极电极测量生物电势和生物阻抗的输入阻抗。还将开发额外的电路，以自动优化输入处不需要的共同模式干扰信号的抑制。辅助模拟测试信号产生电路和数字校准电路将集成在与模拟前端系统相同的芯片上。更广泛的影响：该项目将产生电路设计方法，该方法可以通过将干燥电极连接到高度集成的芯片的长期大脑信号采集。结果将改善在癫痫诊断期间监测​​脑信号的系统，嗜睡检测和意图的识别，以便允许无行为能力的患者进行交流或控制机器人。由于在测量电路中经常发现相同类型的仪器放大器和类似的模拟前端体系结构，因此该研究的结果也适用于设计癌症和损伤检测，身体器官运动感应的综合电路的设计，和可植入的起搏器。由于提出的内置测试和校准技术的可靠性增强了前景，因此通过使用具有较高过程变化的先进制造技术，这项工作可能为可持续性能改善便携式和可植入医疗设备的可持续性提供可行的途径。从该项目获得的知识将纳入研究生和本科教育，并将公开共享，以促进半导体行业的设计和测试工程方法的发展。