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BioScatter: Low-Power Sweat Sensing with Backscatter

Published: 18 June 2023 Publication History

Abstract

Sweat contains a wealth of physiologically relevant information and has been used to detect underlying diseases or the sub-health state. However, existing sweat sensors suffer from high energy consumption due to the need for energy-hungry components (i.e., ADC and DAC) and active radio front-ends, making them unable to support continuous and long-term monitoring.
This paper introduces BioScatter, a backscatter-based accurate and ultra-low-power sweat sensing wearable sensor that does not need any energy-hungry ADC, DAC, and active radios. The key to eliminating DAC is a novel low-power voltage sweeping circuit design that can perform as well as a 12-bit DAC. To eliminate the ADC, we borrow backscatter technology that can directly transmit the measured analog sensing values to the reader, thus avoiding digital sampling. Extensive results show that BioScatter has a low-power consumption of 313.5 μW and achieves more than 98.5% sensing accuracy for detecting five concentration levels of three types of important bio-fluid in sweat.

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  • (2024)Hornbill: A Portable, Touchless, and Battery-Free Electrochemical Bio-tag for Multi-pesticide DetectionProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690693(1283-1298)Online publication date: 4-Dec-2024
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cover image ACM Conferences
MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services
June 2023
651 pages
ISBN:9798400701108
DOI:10.1145/3581791
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 18 June 2023

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  1. wearable biosensors
  2. low-power
  3. sweat sensing
  4. backscatter
  5. internet of things (IoT)

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MobiSys '23 Paper Acceptance Rate 41 of 198 submissions, 21%;
Overall Acceptance Rate 274 of 1,679 submissions, 16%

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  • (2024)Hornbill: A Portable, Touchless, and Battery-Free Electrochemical Bio-tag for Multi-pesticide DetectionProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690693(1283-1298)Online publication date: 4-Dec-2024
  • (2024)MetaBioLiq: A Wearable Passive Metasurface Aided mmWave Sensing Platform for BioFluidsProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690687(1192-1206)Online publication date: 4-Dec-2024
  • (2024)TunnelSense: Low-Power, Non-Contact Sensing Using Tunnel Diodes2024 IEEE International Conference on RFID (RFID)10.1109/RFID62091.2024.10582671(154-159)Online publication date: 4-Jun-2024
  • (2024)Bi-Metal Metamaterial Absorber for Wearable Sweat Sensing and Energy Harvesting Applications2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC53108.2024.10782957(1-4)Online publication date: 15-Jul-2024
  • (2024) Portable Integrated Sensor Based on C 60 Encapsulated into Cu-Based Porphyrin-Derived MOFs for the Photoelectrochemical Detection of Glyphosate ACS Applied Nano Materials10.1021/acsanm.4c007197:10(11214-11224)Online publication date: 10-May-2024

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