Integrated Sensing Biosystems

摘要

Providing real time biological system information can provide many benefits for both patients and medical practitioners. There is a variety of health issues that could be better understood as a result of information availability, as opposed to reliance on a patient's description of pathology. Additionally, treatment courses can be implemented as a result of the information contributions attributed to wireless implantable devices, including brain-computer interfaces (BCI), brain-machine interfaces (BMI), and brain-network interfaces (BNI). Envisioning such a network of wireless implantable devices raises a number of important issues, one of them being compatibility on several levels within and between devices. In creating a network of sensor nodes, it is important to maintain information quality by reducing the number of error occurrences as well as providing a secure and stable platform in which data can travel freely. It is therefore proposed that the network as a whole should be robust to include a number of selected redundant sensors within the network and be properly shielded from outside disturbances that would introduce noise into the system. This paper will provide a brief investigation into possible routes that can be taken towards the understanding and design of such a network as well as an examination of the various bio-implantable sensor and brain interface technologies that are available to date. While there currently are many wireless bio-implantable sensor platforms [1, 2] there are very few, if any, networked biosystem applications. It is the goal of this study to create a network that is secure, reliable, and scalable. Such a network would provide adequate expandability to future sensors and application areas.