Ann Trauma Acute Care | Volume 5, Issue 2 | Research Article | Open Access

Development of Clinical Device for Detecting Out-of- Hospital Traumatic Pneumothorax: Validation Using a Simulation Model in an Anechoic Chamber

Nobuhiro Hayashi1*#, Yuki Nakamura2#, Yoshiaki Inoue3 and Hiroshi Tanaka2

1Himeji Emergency, Trauma and Critical Care Center, Steel Memorial Hirohata Hospital, Japan 2Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Japan 3Department of Emergency and Critical Care Medicine, University of Tsukuba Hospital, Japan #These authors equally contributed to this work

*Correspondance to: Nobuhiro Hayashi 

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Abstract

Aim: Traumatic pneumothorax is highly common among patients with chest injury; however, its early detection can be challenging in noisy environments. We have previously developed a novel device with microphones attached to the stethoscope for detecting pneumothorax without human hearing. In this study, we aimed to evaluate the usefulness of our newly improved device with microphones and a noise canceling system for detecting pneumothorax in noisy environments. Methods: The device was applied to a simulator mannequin set up under conditions of pneumothorax or normal control. Pink noise and traffic noise were used as a loud environment presumptively and emitted from a speaker. Results: The device could detect pneumothorax even in loud environments with a noise of over 70 dB. The best noise-suppression effect was recorded at frequencies of 386 Hz to 398 Hz. Conclusion: The newly improved device can accurately detect traumatic pneumothorax even in noisy environments and can thus be used as a diagnostic modality in the prehospital or disaster setting.

Keywords:

Noise reduction; Pneumothorax; Sound analysis; Stethoscope; System identification

Citation:

Hayashi N, Nakamura Y, Inoue Y, Tanaka H. Development of Clinical Device for Detecting Out-of-Hospital Traumatic Pneumothorax: Validation Using a Simulation Model in an Anechoic Chamber. Ann Trauma Acute Care. 2021;5(2):1028..

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