  Data collection and analysis from multiple implant nodes in humans can
provide targeted medicine and treatment strategies that can prevent many
chronic diseases. This data can be collected for a long time and processed
using artificial intelligence (AI) techniques in a medical network for early
detection and prevention of diseases. Additionally, machine learning (ML)
algorithms can be applied for the analysis of big data for health monitoring of
the population. Wireless powering, sensing, and communication are essential
parts of future wireless implants that aim to achieve the aforementioned goals.
In this paper, we present the technical development of a wireless implant that
is powered by radio frequency (RF) at 401 MHz, with the sensor data being
communicated to an on-body reader. The implant communication is based on two
simultaneous wireless links: RF backscatter for implant-to-on-body
communication and a galvanic link for intra-body implant-to-implant
connectivity. It is demonstrated that RF powering, using the proposed compact
antennas, can provide an efficient and integrable system for powering up to an
8 cm depth inside body tissues. Furthermore, the same antennas are utilized for
backscatter and galvanic communication.
