Non-Invasive Cardiac and Respiratory Activity Assessment From Various Human Body Locations Using Bioimpedance.
Non-Invasive Cardiac and Respiratory Activity Assessment From Various Human Body Locations Using Bioimpedance.
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DOI：
10.1109/ojemb.2021.3085482
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发表时间：
2021
影响因子：
5.8
通讯作者：
Jafari R
中科院分区：
文献类型：
--
作者：
Sel K;Osman D;Jafari R
目的：生物阻抗传感是一种测量组织阻抗并捕捉重要生理参数的强大技术，包括血流、肺运动、肌肉收缩、体液位移和其他心血管参数。本文对不同动脉(尺动脉、桡动脉、胫动脉和颈动脉)和胸腔(侧肋和胸腰椎顶部筋膜)身体部位的模式进行了综合分析，并对捕获各种心脏和呼吸活动的有效性提供了见解。方法：我们在一项先导性研究中从5名健康受试者的静息状态下获得6小时的数据，评估在估算搏动间期(IBI)和呼吸间期(IBI)方面的生物阻抗表现。结果：总体而言，IBI和IBRI估计的平均误差分别为0.003±0.002和0.67±0.28s。结论：生物阻抗可以有效地监测四肢和上半身的心脏和呼吸活动，具有很大的潜力被用于提供高保真生理传感的可穿戴设备，以满足精确的医学需求。
Objective: Bioimpedance sensing is a powerful technique that measures the tissue impedance and captures important physiological parameters including blood flow, lung movements, muscle contractions, body fluid shifts, and other cardiovascular parameters. This paper presents a comprehensive analysis of the modality at different arterial (ulnar, radial, tibial, and carotid arteries) and thoracic (side-rib cage and top thoracolumbar fascia) body regions and offers insights into the effectiveness of capturing various cardiac and respiratory activities. Methods: We assess the bioimpedance performance in estimating inter-beat (IBI) and inter -breath intervals (IBrI) on six-hours of data acquired in a pilot-study from five healthy participants at rest. Results: Overall, we achieve mean errors as low as 0.003 ± 0.002 and 0.67 ± 0.28 seconds for IBI and IBrI estimations, respectively. Conclusions: The results show that bioimpedance can be effectively used to monitor cardiac and respiratory activities both at limbs and upper body and demonstrate a strong potential to be adopted by wearables that aim to provide high-fidelity physiological sensing to address precision medicine needs.
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DOI：
10.3390/bios8020031
发表时间：
2018-03-26
期刊：
Biosensors
影响因子：
--
作者：
Lu F;Wang C;Zhao R;Du L;Fang Z;Guo X;Zhao Z
通讯作者：
Zhao Z
DOI：
10.1109/tbcas.2019.2946661
发表时间：
2019-12-01
影响因子：
5.1
作者：
Ibrahim, Bassem;Jafari, Roozbeh
通讯作者：
Jafari, Roozbeh
影响因子：
1.4
作者：
Bagal, Uttam R.;Pandey, Prem C.;Hardas, S. P.
通讯作者：
Hardas, S. P.
影响因子：
4.6
作者：
Blanco-Almazan, Dolores;Groenendaal, Willemijn;Jane, Raimon
通讯作者：
Jane, Raimon
DOI：
10.1016/j.bjps.2019.06.041
发表时间：
2020-02-01
影响因子：
2.7
作者：
Qin, Evelyn S.;Bowen, Mindy J.;Chen, Wei F.
通讯作者：
Chen, Wei F.