A Smartphone-Based System for Automated Bedside Detection of Crackle Sounds in Diffuse Interstitial Pneumonia Patients.
A Smartphone-Based System for Automated Bedside Detection of Crackle Sounds in Diffuse Interstitial Pneumonia Patients.
复制标题
DOI：
10.3390/s18113813
复制
发表时间：
2018-11-07
期刊：
影响因子：
--
通讯作者：
Aljama-Corrales T
中科院分区：
文献类型：
--
作者：
Reyes BA;Olvera-Montes N;Charleston-Villalobos S;González-Camarena R;Mejía-Ávila M;Aljama-Corrales T
在这项工作中，我们提出了一个用于自动检测裂纹声音的移动医疗系统，该系统由声学传感器、智能手机设备和在Android上实现的移动应用程序（app）组成。虽然传统听诊器的肺听诊已经使用了几十年，但它在检测呼吸系统疾病中常见的不连续的非定音（爆裂声）方面存在局限性。该应用程序允许医生直接在智能手机上记录、存储、复制和分析呼吸声音。此外，裂纹检测算法基于时变自回归建模。对自动检测器的性能进行分析：(1)将合成的细声和粗声随机插入不同信噪比的健康受试者的基础呼吸音中；(2)对间质性弥漫性肺炎患者的真实床边获得性呼吸音进行分析。在模拟场景中，对于细裂纹，准确率为84.86% ~ 89.16%，灵敏度为93.45% ~ 97.65%，特异性为99.82% ~ 99.84%。在模拟场景中，粗裂纹的检测是一项更具挑战性的任务。在真实数据的情况下，结果表明在临床无控制环境下使用开发的移动卫生系统帮助专家评估受试者肺部状态的可行性。
In this work, we present a mobile health system for the automated detection of crackle sounds comprised by an acoustical sensor, a smartphone device, and a mobile application (app) implemented in Android. Although pulmonary auscultation with traditional stethoscopes had been used for decades, it has limitations for detecting discontinuous adventitious respiratory sounds (crackles) that commonly occur in respiratory diseases. The proposed app allows the physician to record, store, reproduce, and analyze respiratory sounds directly on the smartphone. Furthermore, the algorithm for crackle detection was based on a time-varying autoregressive modeling. The performance of the automated detector was analyzed using: (1) synthetic fine and coarse crackle sounds randomly inserted to the basal respiratory sounds acquired from healthy subjects with different signal to noise ratios, and (2) real bedside acquired respiratory sounds from patients with interstitial diffuse pneumonia. In simulated scenarios, for fine crackles, an accuracy ranging from 84.86% to 89.16%, a sensitivity ranging from 93.45% to 97.65%, and a specificity ranging from 99.82% to 99.84% were found. The detection of coarse crackles was found to be a more challenging task in the simulated scenarios. In the case of real data, the results show the feasibility of using the developed mobile health system in clinical no controlled environment to help the expert in evaluating the pulmonary state of a subject.
登录
查看更多内容
影响因子：
158.5
作者：
MURPHY, RLH;HOLFORD, SK;KNOWLER, WC
通讯作者：
KNOWLER, WC
影响因子：
7.7
作者：
Bokov, Plamen;Mahut, Bruno;Delclaux, Christophe
通讯作者：
Delclaux, Christophe
DOI：
10.1016/j.physa.2014.01.018
发表时间：
2014-05-01
影响因子：
3.3
作者：
Chen, Xue;Shao, Jie;Fang, Jing
通讯作者：
Fang, Jing
影响因子：
4.3
作者：
Nakano, Hiroshi;Hirayama, Kenji;Tanigawa, Takeshi
通讯作者：
Tanigawa, Takeshi
影响因子：
7.7
作者：
Charleston-Villalobos, S.;Martinez-Hernandez, G.;Aljama-Corrales, T.
通讯作者：
Aljama-Corrales, T.