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A Wireless Artificial Mechanoreceptor in 180-nm CMOS. | LitMetric

A Wireless Artificial Mechanoreceptor in 180-nm CMOS.

IEEE Trans Microw Theory Tech

Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104 USA.

Published: June 2021

AI Article Synopsis

  • - This article describes a low-power wireless integrated system designed for tactile sensing, using a magnetic human body communication channel for both power and data transfer.
  • - The system includes a MEMS capacitive force sensor and a highly efficient capacitance-to-time converter that consumes minimal power and has impressive resolution and performance metrics.
  • - The chip, which measures just 1.62mm and is made using a standard 180nm CMOS process, features a flexible data transmitter that can adapt to different modulation formats while maintaining low power consumption.

Article Abstract

This article presents an implantable low-power wireless integrated system for tactile sensing applications. The reported ASIC utilizes a low-loss magnetic human body communication channel for both wireless power and data transfer. The chip is hybrid-integrated with an in-house fabricated MEMS capacitive force sensor to form an implantable artificial mechanoreceptor. An on-chip correlated double sampling capacitance to time converter consumes 750nW from a 1.2V on-chip regulated supply, achieving a 2.0fF resolution for an input capacitance of 14pF and a FoM of 49 fJ/c-s while occupying an area of only 0.04 mm. The capacitance to time converter has a time-multiplexed mode to interface with 4 input capacitors. Wireless power management feedback is utilized to ensure robust operation in the presence of hand gesture changes and process-voltage-temperature variations. The on-chip data transmitter can operate in on-off keying or frequency-shift keying modulation formats, where it consumes only 7.8 in the on-off keying mode. The 1.62mm chip is fabricated in a standard 180nm CMOS process and consumes 110.3 .

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526849PMC
http://dx.doi.org/10.1109/tmtt.2021.3072398DOI Listing

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