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用于皮肤表面的生物声学传感器的空气传播和组织传播敏感性。

Air-borne and tissue-borne sensitivities of bioacoustic sensors used on the skin surface.

作者信息

Zañartu Matías, Ho Julio C, Kraman Steve S, Pasterkamp Hans, Huber Jessica E, Wodicka George R

机构信息

School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.

出版信息

IEEE Trans Biomed Eng. 2009 Feb;56(2):443-51. doi: 10.1109/TBME.2008.2008165. Epub 2008 Oct 31.

Abstract

Measurements of body sounds on the skin surface have been widely used in the medical field and continue to be a topic of current research, ranging from the diagnosis of respiratory and cardiovascular diseases to the monitoring of voice dosimetry. These measurements are typically made using light-weight accelerometers and/or air-coupled microphones attached to the skin. Although normally neglected, air-borne sounds generated by the subject or other sources of background noise can easily corrupt such recordings, which is particularly critical in the recording of voiced sounds on the skin surface. In this study, the sensitivity of commonly used bioacoustic sensors to air-borne sounds was evaluated and compared with their sensitivity to tissue-borne body sounds. To delineate the sensitivity to each pathway, the sensors were first tested in vitro and then on human subjects. The results indicated that, in general, the air-borne sensitivity is sufficiently high to significantly corrupt body sound signals. In addition, the air-borne and tissue-borne sensitivities can be used to discriminate between these components. Although the study is focused on the evaluation of voiced sounds on the skin surface, an extension of the proposed methods to other bioacoustic applications is discussed.

摘要

体表声音测量在医学领域已得到广泛应用,并且仍是当前的研究热点,其应用范围涵盖从呼吸和心血管疾病的诊断到语音剂量监测等多个方面。这些测量通常使用附着在皮肤上的轻质加速度计和/或空气耦合麦克风来进行。尽管通常被忽视,但受试者产生的空气传播声音或其他背景噪声源很容易干扰此类记录,这在体表有声声音记录中尤为关键。在本研究中,评估了常用生物声学传感器对空气传播声音的灵敏度,并将其与对组织传播的体表声音的灵敏度进行了比较。为了明确对每条路径的灵敏度,首先在体外对传感器进行测试,然后在人体受试者上进行测试。结果表明,一般来说,空气传播灵敏度足够高,足以显著干扰体表声音信号。此外,空气传播和组织传播灵敏度可用于区分这些成分。尽管该研究专注于体表有声声音的评估,但也讨论了将所提出的方法扩展到其他生物声学应用的可能性。

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