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Developing a Unique Portable Device to Non-invasively Detect Bioelectrochemical Characteristics of Human Tissues

机译:开发一种独特的便携式设备,以非侵入性地检测人组织的生物电化学特征

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The objective of this study is to develop and test a unique portable device that aims to non-invasively detect bio-electrochemical characteristics of human tissues. For this purpose, we designed and developed a new portable Bio-impedance Spectroscopy (BIS) system utilizing active probe technique as measurement technique for bioelectrical features. This BIS system includes the integrated current source and output voltage signal detection sensors. Active probes are placed on the skin surface of the targeted human organ tissues to directly detect bio-impedance signals. Bio-impedance spectrum was measured by applying electrical currents over a range of frequencies (10kHz - 3MHz). The spectrum was then quantitatively analyzed to produce new biomarkers based on bio-electrochemical characteristics of human tissues. These new bioelectrical markers aim to accurately and reproducibly predict and/or detect human diseases (including cancer). To address the feasibility of this new research technique, we conducted a comprehensive evaluation of new BIS device with its calibration techniques and phantom study. Results showed that the computed bioelectrical marker values monotonically change corresponding to tissue compositions. In this research, we demonstrated how to compute independent and dependent bioelectrical features to be implemented on machine learning (ML) models that can improve our understanding of disease or cancer risk state. The study suggested that using this new device has potential for different applications, including the noninvasive assessment of breast density and the detection of asymmetrical focal areas between two bilateral breasts, which may eventually help more accurately predict breast cancer risk.
机译:本研究的目的是开发和测试一种独特的便携式设备,旨在非侵入性地检测人组织的生物电化学特征。为此目的,我们设计并开发了一种利用有源探头技术作为生物电特征的测量技术的新的便携式生物阻抗光谱(BIS)系统。该BIS系统包括集成电流源和输出电压信号检测传感器。将活性探针置于靶向人体器官组织的皮肤表面上,直接检测生物阻抗信号。通过在一系列频率(10kHz-3MHz)上施加电流来测量生物阻抗谱。然后定量分析光谱以产生基于人组织的生物电化学特征的新生物标志物。这些新的生物电解标记旨在准确地和可重复地预测和/或检测人类疾病(包括癌症)。为了解决这一新的研究技术的可行性,我们对新的BIS设备进行了全面评估其校准技术和幻影研究。结果表明,计算的生物电标记值对应于组织组合物的单调变化。在这项研究中,我们证明了如何计算在可以改善我们对疾病或癌症风险状态的理解的机器学习(ML)模型上实现独立和依赖的生物电特征。该研究表明,使用该新设备具有不同应用的潜力,包括对乳房密度的非侵入性评估以及两个双侧乳房之间的不对称焦虑区域的检测,这可能最终有助于更准确地预测乳腺癌风险。

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