Low power respiration monitoring using wearable 3D knitted helical coils.
File(s) BreathingCoilSystem_proof.pdf (1.01 MB)
Accepted version
Author(s)
Kiener, K
Anand, A
Fobelets, W
Fobelets, K
Type
Journal Article
Abstract
We demonstrate a novel low power inductive wearable plethysmography system. This consists of ultra-sensitive 3D knitted helical coils integrated in a garment and an oscillator circuit with high quality factor. The low power oscillator is built using two cross coupled FET pairs with low capacitance drawing only 95 μA during operation and with a response time smaller than 10 μs . The sensor system is linear, with negligible hysteresis. The best compromise in sensitivity and power consumption is obtained with a 3D knitted helical coil using jersey knit with elastic yarn, a lower knitting needle size than recommended for the yarn and minimizing both the number of stitches per winding as well as the stitches containing metal. A sensitivity of 2.7 kHz per mm change in circumference with a power consumption of 6.85 mW per 30 ms measurement time is reported. This system can be used for long term breathing monitoring using a garment indistinguishable from everyday clothing.
Date Issued
2022-01-15
Date Acceptance
2021-11-23
Citation
IEEE Sensors Journal, 2022, 22 (2), pp.1374-1381
ISSN
1530-437X
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
1374
End Page
1381
Journal / Book Title
IEEE Sensors Journal
Volume
22
Issue
2
Copyright Statement
© 2022 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.
Identifier
https://ieeexplore.ieee.org/document/9627916
Subjects
Analytical Chemistry
0205 Optical Physics
0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2021-11-29
