Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Assessment of Ventilation I: Respiratory Rate01:20

Assessment of Ventilation I: Respiratory Rate

1.3K
Assessment of Ventilation
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
1.3K
Mechanical Ventilation II: Invasive Ventilation01:23

Mechanical Ventilation II: Invasive Ventilation

253
Ventilators are essential medical equipment used to aid patients with respiratory difficulties. Their primary function is to assist or replace spontaneous breathing by providing mechanical ventilation. There are two general classes of mechanical ventilators: negative-pressure and positive-pressure ventilators.
Negative-Pressure Ventilators
Negative-pressure ventilators create a vacuum around the chest or body to draw air into the lungs, simulating breathing. This method does not require an...
253
Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

1.8K
Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
1.8K
Mechanical Ventilation I: Indication and Settings01:29

Mechanical Ventilation I: Indication and Settings

932
Mechanical ventilation is a life-saving technique for managing acute respiratory failure and other respiratory complications. The process involves using a machine known as a ventilator to supply oxygen to the lungs and assist in removing carbon dioxide. It serves as a bridge to long-term mechanical ventilation or a temporary measure until ventilatory support is discontinued. The ventilator can maintain this function for a prolonged period, providing critical support for patients until they can...
932
Mechanical Ventilation III: Noninvasive Ventilation01:23

Mechanical Ventilation III: Noninvasive Ventilation

224
Noninvasive positive-pressure ventilation (NIPPV), continuous positive airway pressure (CPAP), and bilevel positive airway pressure (BiPAP) are essential methods in respiratory care. These ventilation techniques offer unique benefits for patients with various respiratory conditions, providing adequate support without requiring intubation. Let's explore how each method is crucial in improving patient outcomes and enhancing respiratory therapy.
Noninvasive Positive-Pressure Ventilation...
224
Ventilatory Modes01:14

Ventilatory Modes

431
Mechanical ventilators are life-saving devices that support or replace spontaneous breathing. They deliver breaths to patients through varying methods known as ventilator modes. Understanding these modes is critical for healthcare providers managing patients with respiratory failure.
There are three ventilatory modes: full support, partial support, and spontaneous. These are described below.
Full Support Modes
Full support modes include controlled mechanical ventilation, continuous mandatory...
431

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Airway wall thickness and PRISm are associated with cognitive impairment in individuals with cigarette smoking exposure.

Respiratory research·2026
Same author

Reply to Liu et al.: Beyond Frequency: Rethinking Exacerbation Risk in COPD.

American journal of respiratory and critical care medicine·2026
Same author

Beyond spirometry in COPD: expanding the diagnostic paradigm.

ERJ open research·2026
Same author

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study.

Thorax·2026
Same author

Summary of Research: Dupilumab for Chronic Obstructive Pulmonary Disease with Type 2 Inflammation: A Pooled Analysis of Two Phase 3, Randomised, Double-Blind, Placebo-Controlled Trials.

Pulmonary therapy·2026
Same author

The Utility of Advanced Imaging in COPD: Diagnosis, Prognosis, and Treatment-introductory Editorial.

The British journal of radiology·2026

関連する実験動画

Updated: Sep 10, 2025

Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns
08:34

Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns

Published on: September 16, 2019

11.7K

マシン・ラーニングによる真の換気制限の検出

Pratim Saha1, Muhammad F A Chaudhary2, Akm Shahariar Azad Rabby1

  • 1Center for Lung Analytics and Imaging Research, University of Alabama at Birmingham, Birmingham, AL, 35294, USA; Department of Computer Science, University of Alabama at Birmingham, AL, 35294, USA.

Respiratory medicine
|August 21, 2025
PubMed
まとめ
この要約は機械生成です。

新しい機械学習モデルは,スピロメトリーと患者の人口統計を用いて真の呼吸器の制限を正確に検出し,追加の肺容量検査の必要性を軽減します. このAIツールは 肺の制限の診断の精度を向上させます

キーワード:
肺の容量機械学習スピロメトリックの制限換気器の制限

さらに関連する動画

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
05:56

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

3.4K
Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

706

関連する実験動画

Last Updated: Sep 10, 2025

Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns
08:34

Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns

Published on: September 16, 2019

11.7K
Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
05:56

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

3.4K
Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

706

科学分野:

  • 肺医学
  • 医療における機械学習
  • 診断 ツール

背景:

  • スピロメトリーだけでは,真の呼吸器の制限を検出する精度は限られている (50%).
  • これは正確な診断をするために,補足的な肺容量検査を必要とします.
  • 真の呼吸器の制限を特定するための改善された方法が必要です.

研究 の 目的:

  • 肺の制限を検知する 新しいツールを開発する
  • このツールは,スピロメトリーデータを患者の人口情報と統合します.
  • 目的は診断の精度を高め,肺の体積検査への依存を減らすことです.

主な方法:

  • 21,062人の参加者のスピロメトリーと肺容量のデータを分析した.
  • スピロメトリー (FEV1,FVC,FEV1/FVC,FEV1%pred,FVC%pred) と人口統計 (年齢,性別,BMI) を用いたLightGBM機械学習モデルの開発
  • モデルトレーニングと評価はコホートの異なるサブセットで,ROC分析を通じてパフォーマンスを評価します.

主要な成果:

  • 開発されたLightGBMモデルは0. 78 (95%CI 0. 77- 0. 80) の精度と0. 89 (95%CI 0. 88- 0. 90) のAUCを達成した.
  • このモデルは,0. 74 (95%CI 0. 72- 0. 75) の感度と0. 86 (95%CI 0. 84- 0. 87) の特異性で,スピロメトリー単独と比較して優れた性能を示した.
  • 制限性スピロメトリックパターンは,真の呼吸器の制限を検出するために0. 61の精度を持っていた.

結論:

  • スピロメトリーと人口統計データを組み込んだ 機械学習モデルは 真の呼吸器の制限を効果的に検出できます
  • このAIによるアプローチは 伝統的なスピロメトリーだけで診断の精度を大幅に改善します
  • このモデルは,さらに複雑な肺容量検査の必要性を減らす可能性を示しています.