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一种带有嵌入式导电纺织品和 IMU 的可穿戴系统,用于进行非侵入式心肺监测。

A Wearable System with Embedded Conductive Textiles and an IMU for Unobtrusive Cardio-Respiratory Monitoring.

机构信息

Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.

Unit of Neurophysiology and Neuroengineering of HumanTechnology Interaction (NeXT), Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.

出版信息

Sensors (Basel). 2021 Apr 25;21(9):3018. doi: 10.3390/s21093018.

DOI:10.3390/s21093018
PMID:33923071
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8123320/
Abstract

The continuous and simultaneous monitoring of physiological parameters represents a key aspect in clinical environments, remote monitoring and occupational settings. In this regard, respiratory rate (RR) and heart rate (HR) are correlated with several physiological and pathological conditions of the patients/workers, and with environmental stressors. In this work, we present and validate a wearable device for the continuous monitoring of such parameters. The proposed system embeds four conductive sensors located on the user's chest which allow retrieving the breathing activity through their deformation induced during cyclic expansion and contraction of the rib cage. For monitoring HR we used an embedded IMU located on the left side of the chest wall. We compared the proposed device in terms of estimating HR and RR against a reference system in three scenarios: sitting, standing and supine. The proposed system reliably estimated both RR and HR, showing low error averaged along subjects in all scenarios. This is the first study focused on the feasibility assessment of a wearable system based on a multi-sensor configuration (i.e., conductive sensors and IMU) for RR and HR monitoring. The promising results encourage the application of this approach in clinical and occupational settings.

摘要

连续且同步的生理参数监测是临床环境、远程监测和职业环境中的一个关键方面。在这方面,呼吸频率 (RR) 和心率 (HR) 与患者/工人的几种生理和病理状况以及环境应激源相关联。在这项工作中,我们提出并验证了一种用于连续监测这些参数的可穿戴设备。所提出的系统嵌入了四个位于用户胸部的导电传感器,这些传感器通过肋骨笼周期性膨胀和收缩引起的变形来获取呼吸活动。为了监测 HR,我们使用了位于胸壁左侧的嵌入式 IMU。我们在三种情况下(坐姿、站立和仰卧)将所提出的设备与参考系统进行了 HR 和 RR 估计的比较:坐姿、站立和仰卧。所提出的系统可靠地估计了 RR 和 HR,在所有情况下都显示出了对受试者的低平均误差。这是第一项专注于基于多传感器配置(即导电传感器和 IMU)进行 RR 和 HR 监测的可穿戴系统的可行性评估的研究。有前途的结果鼓励将这种方法应用于临床和职业环境。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/f902592c6e41/sensors-21-03018-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/d097edbdf1c3/sensors-21-03018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/33e60434345e/sensors-21-03018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/82fa81525869/sensors-21-03018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/e6cfe12297b9/sensors-21-03018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/3bb80efba240/sensors-21-03018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/8088886ae26f/sensors-21-03018-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/f902592c6e41/sensors-21-03018-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/d097edbdf1c3/sensors-21-03018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/33e60434345e/sensors-21-03018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/82fa81525869/sensors-21-03018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/e6cfe12297b9/sensors-21-03018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/3bb80efba240/sensors-21-03018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/8088886ae26f/sensors-21-03018-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfc/8123320/f902592c6e41/sensors-21-03018-g007.jpg

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