Bio-Electrical Impedance Analysis for Wrist-Wearable Devices

A. Nikishov, K. Pavlov, Namseok Chang, Jaehyuck Park, Wonseok Lee, Justin Younghyun Kim
{"title":"Bio-Electrical Impedance Analysis for Wrist-Wearable Devices","authors":"A. Nikishov, K. Pavlov, Namseok Chang, Jaehyuck Park, Wonseok Lee, Justin Younghyun Kim","doi":"10.1109/BHI56158.2022.9926821","DOIUrl":null,"url":null,"abstract":"In this work we described results of the bio-electrical impedance analysis (BIA) algorithm implementation that does not require information about parasitic impedances values in a smartwatch structure, and skin contact impedances values. Only voltages and currents directly measured by BIA device are taken into consideration. It makes BIA process independent of complex hardware of smartwatches (including small size of the electrodes) and avoids additional factory mode calibrations in case of the minor structural changes. The applicability and accuracy of the method has been verified at circuit simulation for pre-commercial smartwatch prototype which has two electrodes embedded in control buttons with an ~0.3 cm2 area of each and two electrodes embedded into the bottom side with an ~1.5 cm2 area of each. The bio-electrical impedance errors were analyzed at variation of the parasitic capacitance between contact electrodes and BIA analog-front-end circuit and at variation of skin contact impedance magnitude up to 15 kOhm per 1 cm2 of the electrode area at 50 kHz of signal frequency. Such high magnitude of skin contact impedance covers the most extreme cases at low humidity, very dry or damaged skin, too weak or too hard touches by user.","PeriodicalId":347210,"journal":{"name":"2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"2019 23","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BHI56158.2022.9926821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this work we described results of the bio-electrical impedance analysis (BIA) algorithm implementation that does not require information about parasitic impedances values in a smartwatch structure, and skin contact impedances values. Only voltages and currents directly measured by BIA device are taken into consideration. It makes BIA process independent of complex hardware of smartwatches (including small size of the electrodes) and avoids additional factory mode calibrations in case of the minor structural changes. The applicability and accuracy of the method has been verified at circuit simulation for pre-commercial smartwatch prototype which has two electrodes embedded in control buttons with an ~0.3 cm2 area of each and two electrodes embedded into the bottom side with an ~1.5 cm2 area of each. The bio-electrical impedance errors were analyzed at variation of the parasitic capacitance between contact electrodes and BIA analog-front-end circuit and at variation of skin contact impedance magnitude up to 15 kOhm per 1 cm2 of the electrode area at 50 kHz of signal frequency. Such high magnitude of skin contact impedance covers the most extreme cases at low humidity, very dry or damaged skin, too weak or too hard touches by user.
腕部可穿戴设备的生物电阻抗分析
在这项工作中,我们描述了生物电阻抗分析(BIA)算法实现的结果,该算法不需要有关智能手表结构中的寄生阻抗值和皮肤接触阻抗值的信息。仅考虑BIA装置直接测量的电压和电流。它使BIA过程独立于智能手表的复杂硬件(包括电极的小尺寸),避免了在微小结构变化的情况下额外的工厂模式校准。在预商用智能手表样机的电路仿真中验证了该方法的适用性和准确性,该样机的控制按钮内嵌两个电极,每个电极的面积约为0.3 cm2,底部嵌入两个电极,每个电极的面积约为1.5 cm2。分析了在信号频率为50 kHz时,接触电极与BIA模拟前端电路之间寄生电容的变化,以及皮肤接触阻抗量级达到15 kOhm / 1 cm2时的生物电阻抗误差。这种高量级的皮肤接触阻抗适用于低湿度、皮肤非常干燥或受损、用户触摸太弱或太硬等极端情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信