Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Physical Assessment of the Respiratory Tract IV: Auscultation01:28

Physical Assessment of the Respiratory Tract IV: Auscultation

255
Auscultation is a crucial component of the physical assessment of the respiratory tract. It offers valuable insights into airflow through the bronchial tree and potential lung obstructions. This process involves careful listening to breath, voice, and adventitious sounds, which can reveal a wealth of information about a patient's respiratory health.
Breath Sounds
Breath sounds are categorized into vesicular, bronchovesicular, and bronchial.
255
Assessment of Respiration01:23

Assessment of Respiration

1.0K
The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
1.0K
Respiratory System Abnormal Finding II: Palpation and Auscultation01:31

Respiratory System Abnormal Finding II: Palpation and Auscultation

253
In assessing respiratory abnormalities, palpation and auscultation are critical tools for detecting and interpreting various pathophysiological changes. These techniques provide insight into underlying disorders by evaluating tactile sensations and sounds produced by the respiratory system.
Palpation Findings
During a respiratory assessment, palpation can reveal several vital abnormalities:
253
Respiratory System Abnormal Finding I: Inspection and Percussion01:30

Respiratory System Abnormal Finding I: Inspection and Percussion

195
Respiratory system abnormalities are a significant concern in healthcare due to their potential to indicate underlying severe conditions like Chronic Obstructive Pulmonary Disease (COPD), asthma, and pneumonia. These abnormalities can often be detected through physical examination methods like inspection and percussion.
Inspection Findings
During an inspection, several findings may suggest the presence of respiratory distress or disease. Pursed-lip breathing, where exhalation is slowed by...
195
Heart Sounds01:15

Heart Sounds

1.7K
Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V)...
1.7K
Classification of Signals01:30

Classification of Signals

374
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
374

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Exploring the Real-World Effectiveness of Empagliflozin and Linagliptin Fixed-Dose Combination in Type 2 Diabetes Patients of Bangladesh: A Prospective Multi-Center Observational Study.

Diabetes, metabolic syndrome and obesity : targets and therapy·2025
Same author

NeuroNet-AD: A Multimodal Deep Learning Framework for Multiclass Alzheimer's Disease Diagnosis.

Bioengineering (Basel, Switzerland)·2025
Same author

MicroAIbiome: Decoding Cancer Types from Microbial Profiles Using Explainable Machine Learning.

Microorganisms·2025
Same author

Text-Assisted Vision Model for Medical Image Segmentation.

IEEE journal of biomedical and health informatics·2025
Same author

Photobiomodulation Therapy: Survey and Principal Study Leading to Design Rules for Implants.

IEEE transactions on bio-medical engineering·2025
Same author

Integrated Gene Expression Data-Driven Identification of Molecular Signatures, Prognostic Biomarkers, and Drug Targets for Glioblastoma.

BioMed research international·2024

相关实验视频

Updated: May 24, 2025

Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.1K

偶然的肺声检测:利用SHAP解释和渐变增强洞察力

Shiva Shokouhmand, Md Motiur Rahman, Miad Faezipour

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    这项研究开发了一种使用XGBoost的自动化方法,从肺部声音记录中诊断呼吸系统疾病. 该系统实现了高精度,改善了肺部疾病的早期检测.

    科学领域:

    • 医疗信息学 医疗信息学
    • 信号处理 信号处理
    • 机器学习 机器学习

    背景情况:

    • 肺部疾病是全球重要的健康问题,患病率很高.
    • 早期诊断呼吸道疾病对于改善患者的治疗结果至关重要.
    • 自动诊断工具可以提高临床评估的效率和准确性.

    研究的目的:

    • 开发一种基于偶然的肺声音来诊断呼吸系统疾病的自动化,可解释的方法.
    • 细分听力镜录音以隔离正常和异常的呼吸声 (如喘息,).
    • 识别关键的音频特征,有效地区分不同的呼吸系统疾病.

    主要方法:

    • 呼吸系统的声音记录被细分,以隔离正常和偶然的肺声音.
    • 提取了一个全面的特征集,捕捉时间和光谱动态.
    • 一个极端梯度提升 (XGBoost) 模型在ICBHI 2017数据集上使用五倍交叉验证进行了训练和验证.
    • 计算了沙普利值,以提高XGBoost模型预测的可解释性.

    主要成果:

    • 开发的XGBoost模型实现了高性能指标:94.57%的特异性,77.96%的灵敏度,ICBHI得分为86.27%.
    • 该方法超越了现有的最先进的技术,通过肺部声音来诊断呼吸系统疾病.

    更多相关视频

    Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance
    06:26

    Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance

    Published on: September 27, 2024

    356
    Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension
    06:20

    Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension

    Published on: December 5, 2020

    2.3K

    相关实验视频

    Last Updated: May 24, 2025

    Flying Insect Detection and Classification with Inexpensive Sensors
    05:16

    Flying Insect Detection and Classification with Inexpensive Sensors

    Published on: October 15, 2014

    25.1K
    Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance
    06:26

    Author Spotlight: Exploring Breathing Techniques and Digital Solutions for Enhancing Running Performance

    Published on: September 27, 2024

    356
    Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension
    06:20

    Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension

    Published on: December 5, 2020

    2.3K
  • 发现的关键区分特征包括Mel频 cepstral 系数 (MFCC),光谱中心体,零交叉率和信号强度.
  • 结论:

    • 自动化肺声分析方法为诊断呼吸道疾病提供了可靠和可解释的方法.
    • 这些发现支持将这些技术集成到智能数字耳机镜和远程患者监控系统中.
    • 这项技术在临床和远程医疗环境中具有早期检测和个性化医疗保健的巨大潜力.