| 呼吸音分析在儿童支气管哮喘中的研究进展 |
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| 引用本文： | 田娇,徐勇胜. 呼吸音分析在儿童支气管哮喘中的研究进展[J]. 中国医学科学院学报, 2021, 43(5): 833-839. DOI: 10.3881/j.issn.1000-503X.11953 |
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| 作者姓名： | 田娇 徐勇胜 |
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| 作者单位： | 1.天津医科大学研究生院,天津 300070;2.天津市儿童医院呼吸科,天津 300074 |
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| 摘 要： | 支气管哮喘是一种常见的慢性呼吸道疾病,其诊断主要依据症状、体征和肺功能检查等手段。喘息是哮喘发作的重要症状,早期无明显征兆,发现时往往病情已经进展。肺功能检测技术能有效监测上下气道异常,是目前监测哮喘发生发展的主要手段,然而其检查准确性高度依赖患者配合,学龄前儿童和婴幼儿更因难以配合导致其应用受到较大限制,因此迫切需要一种具有长期呼吸音监测与自动喘息检测功能的新技术来弥补现有临床的不足。呼吸音分析是医疗人工智能时代的产物,通过运用多种分析方法对采集到的呼吸音进行数字化处理和转换,形成特征性的信号参数,建立参数与疾病间的关系。在哮喘患儿中,呼吸音与气道变化之间存在密切关系,通过检测并分析呼吸音可为哮喘的病情进展和控制评估提供可靠的临床信息。本文总结了呼吸音分析在儿童支气管哮喘中的应用进展,以期为进一步研究提供参考。
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| 关 键 词： | 呼吸音分析 儿童 支气管哮喘 |
| 收稿时间： | 2019-08-27 |
Research Progress of Breath Sound Analysis in Children with Bronchial Asthma |
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| TIAN Jiao,XU Yongsheng. Research Progress of Breath Sound Analysis in Children with Bronchial Asthma[J]. Acta Academiae Medicinae Sinicae, 2021, 43(5): 833-839. DOI: 10.3881/j.issn.1000-503X.11953 |
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| Authors: | TIAN Jiao XU Yongsheng |
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| Affiliation: | 1.Graduate School of Tianjin Medical University,Tianjin 300070,China;2.Respiratory Department of Tianjin Children's Hospital,Tianjin 300074,China |
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| Abstract: | Bronchial asthma is a common chronic respiratory disease,and its diagnosis is mainly based on symptoms,signs,and pulmonary function test.Wheezing is a major symptom of asthma attack,which shows no obvious sign in the early stage while appears after the disease has progressed.Therefore,bronchial asthma is difficult to be detected in early stages,which often leads to worsening of the disease conditions.Pulmonary function test can effectively monitor upper and lower airway abnormalities and is currently the main means for monitoring asthma.However,its accuracy is highly dependent on patient's motivation and cooperation,which obviously limits the scope of application,especially for preschoolers and infants.Hence,there is an urgent need for a new technology with the function of long-term breath sound monitoring and automatic breathing detection to overcome the existing clinical deficiencies.Breath sound analysis emerges in the era of medical artificial intelligence,which can digitally process and convert the collected respiratory sounds by using a variety of different methods to form characteristic signal parameters and model the relationship between parameters and diseases.As we know,breath sounds are closely related to airway changes,and thus the detection and analysis of the sounds can provide reliable clinical information for the progress and control evaluation of asthma.This review mainly summaries the research progress of respiratory sound analysis in recent years,hoping to provide reference for further research. |
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| Keywords: | breath sound analysis children bronchial asthma |
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