Exploring Biomagnetism for Inclusive Vital Sign Monitoring: Modeling and Implementation

被引:1
|
作者
Guo, Xiuzhen [1 ]
Tan, Long [1 ]
Chen, Tao [2 ]
Gu, Chaojie [1 ]
Shu, Yuanchao [1 ]
He, Shibo [1 ]
He, Yuan [3 ,4 ]
Chen, Jiming [1 ]
Shangguan, Longfei [2 ]
机构
[1] Zhejiang Univ, Coll Control Sci & Engn, Hangzhou, Peoples R China
[2] Univ Pittsburgh, Dept Comp Sci, Pittsburgh, PA 15260 USA
[3] Tsinghua Univ, Sch Software, Beijing, Peoples R China
[4] Tsinghua Univ, BNRist, Beijing, Peoples R China
来源
PROCEEDINGS OF THE THIRTIETH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, ACM MOBICOM 2024 | 2024年
关键词
Wearable Health; Mobile Computing; Magnetic Sensing; DESIGN;
D O I
10.1145/3636534.3649349
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This paper presents the design, implementation, and evaluation of MagWear, a novel biomagnetism-based system that can accurately and inclusively monitor the heart rate and respiration rate of mobile users with diverse skin tones. MagWear's contributions are twofold. Firstly, we build a mathematical model that characterizes the magnetic coupling effect of blood flow under the influence of an external magnetic field. This model uncovers the variations in accuracy when monitoring vital signs among individuals. Secondly, leveraging insights derived from this mathematical model, we present a software-hardware co-design that effectively handles the impact of human diversity on the performance of vital sign monitoring, pushing this generic solution one big step closer to real adoptions. We have implemented a prototype of MagWear on a two-layer PCB board and followed IRB protocols to conduct system evaluations. Our extensive experiments involving 30 volunteers demonstrate that MagWear achieves high monitoring accuracy with a mean percentage error (MPE) of 1.55% for heart rate and 1.79% for respiration rate. The head-to-head comparison with Apple Watch 8 further demonstrates MagWear's consistently high performance in different user conditions.
引用
收藏
页码:93 / 107
页数:15
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