基于可视人数据集的用于人体胸部声音传播的高分辨率计算机模型。

A high resolution computer model for sound propagation in the human thorax based on the Visible Human data set.

作者信息

Narasimhan C, Ward Richard, Kruse Kara L, Guddati Murthy, Mahinthakumar G

机构信息

University of Tennessee, Knoxville, TN, USA.

出版信息

Comput Biol Med. 2004 Mar;34(2):177-92. doi: 10.1016/S0010-4825(03)00044-1.

DOI:10.1016/S0010-4825(03)00044-1

PMID:14972636

Abstract

A parallel supercomputer model based on realistic tissue data is developed for sound propagation in the human thorax and the sound propagation behavior is analyzed under various conditions using artificial sound sources. The model uses the Visible Human male data set for a realistic representation of the human thorax. The results were analyzed in time and frequency domains. The analysis suggests that lower frequencies of around 100 Hz are more effectively transmitted through the thorax and that the spatial confinement of sound waves within the thorax results in a resonance effect at around 1500 Hz. The results confirm previous studies that show the size of the thorax plays a significant role in the type of sound generated at the chest wall.

摘要

开发了一种基于真实组织数据的并行超级计算机模型，用于研究人体胸部的声音传播，并使用人工声源在各种条件下分析声音传播行为。该模型使用可视人男性数据集来真实呈现人体胸部。在时域和频域对结果进行了分析。分析表明，约100Hz的较低频率能更有效地穿透胸部，并且胸部内声波的空间限制会在约1500Hz处产生共振效应。这些结果证实了先前的研究，即胸部大小在胸壁产生的声音类型中起着重要作用。