Active implantable sensor powered by ultrasounds with application in the monitoring of physiological parameters for soft tissues
File(s)BSN_paper_active_ultrasound_sensing_Bruno.pdf (1.72 MB)
Accepted version
Author(s)
Gil Rosa, BM
Yang, GZ
Type
Conference Paper
Abstract
Ultrasound imaging is a proven diagnostic tool to assess a myriad of physiological and pathological conditions in patients. Throughout the years, ultrasounds have been used as a passive recording modality where the backscattered echo arising from the interaction of the sound waves with the acoustic properties of the biological tissues helps to identify them. Apart from a wide range of therapeutic applications, the acoustic beam has not yet been explored to actuate within the biological environment in an active way. In this paper we present an implantable electronic device to be actuated remotely by ultrasounds with capabilities for measuring several physiological parameters of tissues: pH, temperature, electrolyte concentration and biopotentials. The small factory form device (with no attached batteries) harvests energy from the incoming ultrasound waves and uses it to power the embedded electronics. It operates from voltage levels as low as 0.8 V and consuming a total current of 60 μA (or an average power consumption of 84 μW) in the active mode when deployed at a distance of 3 cm from the active source of ultrasounds in vitro, excited by a sinusoid at 400 kHz with power density of 20 mWcm-2. The sensor can be actuated by a specifically-designed readout device (as detailed in this paper) or using the traditional medical probes for ultrasound imaging. The actual device can present an alternative to surpass the limitations of inductive and RF-powered sensors implanted in soft tissues.
Date Issued
2016-07-21
Date Acceptance
2016-06-14
Citation
Wearable and Implantable Body Sensor Networks (BSN), 2016 IEEE 13th International Conference on, 2016
ISSN
2376-8894
Publisher
IEEE
Journal / Book Title
Wearable and Implantable Body Sensor Networks (BSN), 2016 IEEE 13th International Conference on
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/L014149/1
Source
Body Sensor Network
Publication Status
Published
Start Date
2016-06-15
Finish Date
2016-06-17
Coverage Spatial
San Francisco, CA