社区获得性肺炎患儿肺部声信号峰值的平均功率、频率和幅度的表征

Y. Marushko, O. Khomych
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引用次数: 3

摘要

背景。社区获得性肺炎(CАР)是当今的一个紧迫问题,也是儿童发病和死亡的一个重要原因。肺炎的诊断是复杂的,需要全面的研究。目前,呼吸声学是一种很有前途的诊断方法。目的:应用新型Trembita-Corona声学诊断装置研究社区获得性肺炎患儿肺部声信号峰值的平均功率值、频率和幅值特征。材料和方法。本研究对120例1个月至18岁在儿科就诊的儿童进行研究。儿童分为两组:第一组60例CAP患者,第二组60例健康儿童。第一组儿童接受了复杂的检查,这需要CAP。所有儿童还使用“Trembita-Corona”声学监测装置进行检查,以诊断呼吸声音和定位肺损伤区。该研究按照开展临床研究的国际原则GCP, GLP进行,该方案在以O.O. Bogomolets命名的国立医科大学生物伦理专家委员会会议上获得批准(2020年11月10日第138号方案)。进行这项研究获得了父母/监护人的知情同意,该研究在Bogomolets国立医科大学生物伦理专家委员会的同一次会议上获得了批准(2020年11月10日第138号议定书)。数学处理是在谷歌Codelabs环境下用Python语言开发的专门软件上进行的。在Medstart、EZR (R-Statistics)和Matlab软件中对得到的结果进行进一步的统计处理。结果。在儿童中,CAP的临床表现包括肺(呼吸)主诉、中毒症状、RF和局部身体变化。使用“Trembita-Corona”装置和相应的原始软件检查所有患者在0.1 Hz至30 kHz频率范围内的呼吸性肺音。最有希望的是对0、1、2、3、4、5、6个八度范围内的呼吸噪声的研究。在0、1、2、3、4、5、6个八度音阶上,CAP患儿与健康儿童的平均信号功率存在显著差异。采用“Trembita-Corona”声学监测装置,发现CAP患儿与健康儿童在0、5个八度的峰值频率存在可靠差异,CAP患儿与健康儿童在0、1、2、3个八度的峰值幅度存在可靠差异。、4、5、6个八度。因此,在谷歌Codelabs环境下,使用“Trembita-Corona”声学监测装置和使用开发的Python语言专用软件,可以听到CAP患儿整个肺表面的特定声学信号。“Trembita-Corona”声学监测装置是一种新的、有前途的声学方法,用于确定肺部病理过程的位置。CAP患儿与健康儿童在0、1、2、3、4、5、6个八度音阶的平均信号强度差异有统计学意义;CAP患儿与健康儿童在0和5个八度音阶上的峰值频率;在0、1、2、3、4、5、6个八度音阶上,CAP患儿与健康儿童之间的峰值振幅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CHARACTERIZATION OF THE AVERAGE POWER, FREQUENCY AND AMPLITUDE OF ACOUSTIC SIGNAL PEAKS OVER THE LUNGS IN CHILDREN WITH COMMUNITY-ACQUIRED PNEUMONIA USING THE NEW DEVICE "TREMBITA-CORONA"
Background. Community-acquired pneumonia (CАР) is an urgent problem today and a significant cause of morbidity and mortality in children. Diagnosis of pneumonia is complex and requires a comprehensive study. At present, respiratory acoustics is a promising method of diagnosis. Aim: to investigate the features of average power values, frequencies and amplitudes of acoustic signal peaks over the lungs in children with community-acquired pneumonia using a new acoustic diagnostic device "Trembita-Corona". Materials and methods. 120 children aged from 1 month to 18 years who were treated in pediatric departments were studied. The children were divided into two groups: Group I - 60 patients with CAP, Group II - 60 healthy children. The children from the 1st group underwent complex examinations, which required CAP. All children were also examined using the "Trembita-Corona" acoustic monitoring device for the diagnosis of breathing sounds and localization of lung damage zones. The study was conducted in accordance with the international principles of conducting clinical studies GCP, GLP, the protocol was approved at the meeting of the Commission on Bioethical Expertise at the National Medical University named after O.O. Bogomolets (protocol No. 138 of November 10, 2020). Informed consent of parents/guardians was obtained for conducting the study, which was approved at the same meeting of the Commission on Bioethical Expertise at Bogomolets National Medical University (protocol № 138 of November 10, 2020). Mathematical processing was carried out on specialized software developed in the Python language in the Google Codelabs environment. Further statistical processing of the obtained results was carried out in specialized programs Medstart, EZR (R-Statistics) and "Matlab". Results. In children, the clinical picture of CAP consisted of pulmonary (respiratory) complaints, symptoms of intoxication, RF, and local physical changes. All patients were examined for respiratory lung sounds in the frequency range from 0.1 Hz to 30 kHz using the "Trembita-Corona" device and the corresponding original software. The most promising are the studies of breathing noises in the ranges of 0, 1, 2, 3, 4, 5, 6 octaves. Also, significant differences in average signal power between children with CAP and healthy children in 0,1,2,3,4,5,6 octaves were found. Using the "Trembita-Corona" acoustic monitoring device, reliable differences in peak frequency between children with CAP and healthy children in 0 and 5 octaves and reliable differences in peak amplitude between children with CAP and healthy children in 0, 1, 2, 3 were found. ,4,5,6 octaves. Therefore, the use of the "Trembita-Corona" acoustic monitoring device and the use of the developed specialized software in the Python language in the Google Codelabs environment together make it possible to hear specific acoustic signals over the entire surface of the lungs in children with CAP. Conclusion. The "Trembita-Corona" acoustic monitoring device is a new and promising acoustic method for determining the location of the pathological process in the lungs. Significant differences were found: in the average signal strength between children with CAP and healthy children in 0,1,2,3,4,5,6 octaves; on the frequency of peaks between children with CAP and healthy children in 0 and 5 octaves; by the amplitude of peaks between children with CAP and healthy children in 0,1,2,3,4,5,6 octaves.
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