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.

知识优势：本研究解决了集成模拟电路增强的需要，以便在长时间内可靠地测量生物信号。全面的目标是实现输入阻抗提升和片上校准，以便能够使用干电极，以及减轻互补金属氧化物半导体制造技术制造工艺变化的影响。原型芯片将被制造和测试，以实验验证提出的概念，同时满足或超过最先进的性能规格。该系统中的仪表放大器将设计一个反馈回路，以提高输入阻抗，用于测量干电极的生物电位和生物阻抗。还将开发额外的电路，以自动优化输入处不希望的共模干扰信号的抑制。辅助模拟测试信号产生电路和数字校准电路将作为模拟前端系统集成在同一芯片上。更广泛的影响：该项目将产生电路设计方法，使干电极与高度集成的芯片接口能够长期采集大脑信号。研究结果将改进癫痫诊断、嗜睡检测和意图识别过程中的脑信号监测系统，从而使无行为能力的患者能够与人交流或控制机器人。由于在生物阻抗测量电路中经常发现相同类型的仪表放大器和类似的模拟前端架构，因此本研究的结果也将适用于癌症和损伤检测、身体器官运动传感和植入式起搏器集成电路的设计。由于所提出的内置测试和校准技术具有增强可靠性的前景，这项工作可以通过使用具有高工艺变化的先进制造技术，为便携式和植入式医疗设备的可持续性能改进提供可行的途径。从该项目中获得的知识将整合到研究生和本科教育中，并将公开分享，以促进半导体行业设计和测试工程方法的进步。