CRII: SHF: IMPLANALYTICS: Smart Implantable with In-Sensor Analytics and Body Coupled Power/Data Transfer

传感器内分析、高能效电力传输和安全数据传输的发展有可能改变人体内/身上/周围的可穿戴设备/植入物网络，使它们彼此无缝连接，形成一个“人-内联网”，以深刻的社会影响丰富人类的日常生活。这项研究的目的是开发关键技术和模型，使能量高效、安全、自供电的能量稀疏传感器节点网络能够用于人-内联网。这项研究将在硬件原型验证的数学模型的支持下，从根本上发展对智能植入式传感器节点的传感器内分析(计算)、身体耦合数据(通信)和能量传递的理解。拟议的研究将开发一种智能植入式自供电传感器节点，该节点可以在没有外部干预的情况下始终连接到身体中枢。目前的技术需要物理地将询问设备带到植入的节点附近，以给其供电并读出数据。所提出的技术利用低损耗人体通道来为传感器供电，传感器内分析来压缩数据并使用相同的低损耗人体耦合通道来传输数据。该项目将开发经过实验验证的数学模型，用于未来的设计、空间探索和人体网络的信息/能量分析。这项研究的成果将与普渡大学通过项目网站和Nano-Hub发布的关于数字和混合信号设计的本科生和研究生水平的课程相结合。研究成果将通过出版物传播，并转给行业合作伙伴。

The development of in-sensor analytics, energy-efficient power delivery and secure data transfer has the potential of transforming the network of wearables/implantables in/on/around human-body to seamlessly connect with each other to form a "Human-Intranet", enriching human daily lives with deep societal impact. The objective of this research is to develop the key techniques and models to enable energy- efficient, secure, self-powered network of energy-sparse sensor nodes for Human-Intranet. This research will develop fundamentally new understanding of in-sensor analytics (computation), body-coupled data (communication) and power delivery for smart implanted sensor nodes, supported by mathematical models verified through hardware prototypes.The proposed research will develop a smart implantable self-powered sensor node that can be always connected to an on-body hub without external intervention. Present techniques require physically bringing an interrogation device close to the implanted node to power it and read out data. The proposed technique exploits the low-loss human body channel to power the sensor, in-sensor analytics to compress the data and transfer data using the same low-loss body coupled channel. The project will develop mathematical models verified by experiments for future design space exploration and information/energy analysis for human body network. The outcome of this research will be integrated with the undergraduate and graduate-level courses on Digital and Mixed-Signal Design, published through project website and nano-HUB at Purdue University. The research contributions will be disseminated through publications and transferred to industry partners.