评估用于监测肌肉缺血的低成本便携式近红外设备。

IF 2 3区 医学 Q2 ANESTHESIOLOGY Journal of Clinical Monitoring and Computing Pub Date : 2024-10-02 DOI:10.1007/s10877-024-01226-2
Ramsés Marrero-García, Yaiza Cruz-Tabares, Jose M Gonzalez-Cava, Juan Albino Méndez-Pérez, José Antonio Reboso-Morales
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引用次数: 0

摘要

本研究的主要目的是评估作为组织血氧监测仪的低成本开源 HEGduino 设备,以推进体感近红外监测研究。具体来说,本研究分析了如何使用这种便携式功能性近红外系统检测上肢血管闭塞导致的血流停止。研究人员招募了 19 名年龄在 25 至 50 岁之间的健康患者,并使用 HEGduino 设备对其进行监测。参与者在一只前臂上进行了血管闭塞测试。对 HEGduino 采集的原始值以及测量得出的处理变量进行了登记。此外,还记录了其他变量,以确定测试期间信号噪声的特征。研究中所有受试者的数据分布曲线结果都能准确检测出与短暂组织缺血相关的生理事件。对记录数据的统计分析显示,红色 LED(RED)记录的基线值与其归一化最小变量之间的差值始终不同于零(p
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Evaluation of a low-cost portable NIRS device for monitoring muscle ischemia.

The main objective of this study is to evaluate the low-cost, open-source HEGduino device as a tissue oximetry monitor to advance the research of somatic NIRS monitoring. Specifically, this study analyzes the use of this portable functional NIRS system for detecting the cessation of blood flow due to vascular occlusion in an upper limb. 19 healthy patients aged between 25 and 50 were recruited and monitored using HEGduino device. Participants underwent a vascular occlusion test on one forearm. Raw values collected by HEGduino as well as the processed variables derived from the measurements were registered. Additional variables to characterize the signal noise during the tests were also recorded. The results of the data distribution curves for all the subjects in the study accurately detected the physiological events associated with transient tissue ischemia. The statistical analysis of the recorded data showed that the difference between the baseline values recorded by the red led (RED) and its normalized minimum variable was always different from zero (p < 0.014). Furthermore, the difference between the normalized baseline values recorded by the infrared led (IR) and the corresponding normalized minimum value was also different from zero (p < 0.001). The R-squared coefficient of determination for the noise variables considered in this study on the normalized RED and IR values was 0.08 and 0.105, respectively. The study confirms the potential of HEGduino system to detect an interruption of the blood flow by means of variations in regional tissue oxygen saturation. This study demonstrates the potential of the HEGduino device as a monitoring alternative to advance the study of the applicability of NIRS in muscle tissue oximetry.

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来源期刊
CiteScore
4.30
自引率
13.60%
发文量
144
审稿时长
6-12 weeks
期刊介绍: The Journal of Clinical Monitoring and Computing is a clinical journal publishing papers related to technology in the fields of anaesthesia, intensive care medicine, emergency medicine, and peri-operative medicine. The journal has links with numerous specialist societies, including editorial board representatives from the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESCTAIC), the Society for Technology in Anesthesia (STA), the Society for Complex Acute Illness (SCAI) and the NAVAt (NAVigating towards your Anaestheisa Targets) group. The journal publishes original papers, narrative and systematic reviews, technological notes, letters to the editor, editorial or commentary papers, and policy statements or guidelines from national or international societies. The journal encourages debate on published papers and technology, including letters commenting on previous publications or technological concerns. The journal occasionally publishes special issues with technological or clinical themes, or reports and abstracts from scientificmeetings. Special issues proposals should be sent to the Editor-in-Chief. Specific details of types of papers, and the clinical and technological content of papers considered within scope can be found in instructions for authors.
期刊最新文献
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