A Wearable Device with Triboelectric Nanogenerator Sensing for Respiration and Spirometry Monitoring

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL ACS Sensors Pub Date : 2024-12-22 DOI:10.1021/acssensors.4c02350
Hongqiang Xu, Weiqiao Han, Mehmet Rasit Yuce
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Abstract

Wearable devices have been developed for the continuous and long-term monitoring of respiration. Although current wearable devices are able to measure the respiration rate, extracting breathing volume has been challenging. In this paper, we propose a wearable respiration monitoring sensor based on triboelectric nanogenerator (TENG) technology. The proposed device successfully measures both respiration rate and volume in real-time. The device is tested with seven participants for respiration and spirometry studies. The results show that the proposed TENG sensor is able to capture the respiration waveform with high accuracy. All breathing patterns mentioned in this study give a mean absolute error (MAE) within 0.2 breaths per minute and a mean percentage absolute (MPAE) error within 2%. The results of the spirometry study show that the TENG sensor can measure the airflow and volume during exhalation. The flow time graph gives an average correlation of 0.88 compared with that of the reference spirometer. The reconstructed volume time plot from the TENG sensor results in an MAE of 2.43% for the ratio of the forced expiratory volume in 1 s to the forced vital capacity (FEV1/FVC). The proposed device provides a low-cost solution for real-time and wearable monitoring for respiration parameter measurement.

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一种用于呼吸和肺活量监测的摩擦电纳米发电机传感可穿戴设备
可穿戴设备已被开发用于连续和长期监测呼吸。虽然目前的可穿戴设备能够测量呼吸频率,但提取呼吸量一直是一个挑战。本文提出了一种基于摩擦电纳米发电机(TENG)技术的可穿戴式呼吸监测传感器。该装置成功地实时测量呼吸速率和呼吸容量。该设备由七名参与者进行呼吸和肺活量测定研究。实验结果表明,所设计的TENG传感器能够以较高的精度捕获呼吸波形。本研究中提到的所有呼吸模式的平均绝对误差(MAE)在每分钟0.2次呼吸以内,平均绝对百分比误差(MPAE)在2%以内。肺活量学研究结果表明,TENG传感器可以测量呼气过程中的气流和体积。流量时间图与参考肺活计的平均相关系数为0.88。根据TENG传感器重建的容积时间图,1 s内用力呼气容积与用力肺活量(FEV1/FVC)比值的MAE为2.43%。该装置为呼吸参数测量的实时可穿戴监测提供了低成本的解决方案。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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