AIMC Topic: Respiration

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Online advance respiration prediction model for percutaneous puncture robotics.

International journal of computer assisted radiology and surgery Dec 9, 2023
PURPOSE: Surgical robots have significant research value and clinical significance in the field of percutaneous punctures. There have been numerous studies on ultrasound-guided percutaneous surgical robots; however, addressing the respiratory compens...
Humans Reproducibility of Results Punctures Respiration Ultrasonography Robotics
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Sleep Apnea Prediction Using Deep Learning.

IEEE journal of biomedical and health informatics Nov 7, 2023
Obstructive sleep apnea (OSA) is a sleep disorder that causes partial or complete cessation of breathing during an individual's sleep. Various methods have been proposed to automatically detect OSA events, but little work has focused on predicting su...
Humans Deep Learning Sleep Respiration Sleep Apnea Syndromes Sleep Apnea, Obstructive
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Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram.

IEEE journal of biomedical and health informatics Nov 7, 2023
OBJECTIVE: Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that can lead to a wide range of health issues if left untreated. This study aims to address the lack of research on personalized models for single-lead electrocard...
Sleep Apnea, Obstructive Respiration Humans Deep Learning Electrocardiography Supervised Machine Learning
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Extracting lung contour deformation features with deep learning for internal target motion tracking: a preliminary study.

Physics in medicine and biology Sep 22, 2023
. To propose lung contour deformation features (LCDFs) as a surrogate to estimate the thoracic internal target motion, and to report their performance by correlating with the changing body using a cascade ensemble model (CEM). LCDFs, correlated to th...
Deep Learning Lung Neoplasms Algorithms Lung Motion Respiration Humans
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Deep learning-based lung image registration: A review.

Computers in biology and medicine Sep 1, 2023
Lung image registration can effectively describe the relative motion of lung tissues, thereby helping to solve series problems in clinical applications. Since the lungs are soft and fairly passive organs, they are influenced by respiration and heartb...
Benchmarking Heart Rate Respiration Lung Deep Learning
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A two-step deep learning method for 3DCT-2DUS kidney registration during breathing.

Scientific reports Aug 8, 2023
This work proposed KidneyRegNet, a novel deep registration pipeline for 3D CT and 2D U/S kidney scans of free breathing, which comprises a feature network, and a 3D-2D CNN-based registration network. The feature network has handcrafted texture featur...
Kidney Respiration Retrospective Studies Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans
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PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation.

Scientific reports Jul 12, 2023
Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable visualization and quantification of regional lung ventilation; however, these techniques require specialized equipment and exogenous contrast, limiting clinical adop...
Protons Lung Magnetic Resonance Imaging Deep Learning Humans Respiration COVID-19
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A patient-specific deep learning framework for 3D motion estimation and volumetric imaging during lung cancer radiotherapy.

Physics in medicine and biology Jul 10, 2023
. Respiration introduces a constant source of irregular motion that poses a significant challenge for the precise irradiation of thoracic and abdominal cancers. Current real-time motion management strategies require dedicated systems that are not ava...
Lung Deep Learning Imaging, Three-Dimensional Lung Neoplasms Humans Respiration Diagnostic Imaging Motion
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Classification of Breathing Signals According to Human Motions by Combining 1D Convolutional Neural Network and Embroidered Textile Sensor.

Sensors (Basel, Switzerland) Jun 20, 2023
Research on healthcare and body monitoring has increased in recent years, with respiratory data being one of the most important factors. Respiratory measurements can help prevent diseases and recognize movements. Therefore, in this study, we measured...
Respiratory Rate Motion Humans Respiration Textiles Neural Networks, Computer
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Modification of a Conventional Deep Learning Model to Classify Simulated Breathing Patterns: A Step toward Real-Time Monitoring of Patients with Respiratory Infectious Diseases.

Sensors (Basel, Switzerland) Jun 15, 2023
The emergence of the global coronavirus pandemic in 2019 (COVID-19 disease) created a need for remote methods to detect and continuously monitor patients with infectious respiratory diseases. Many different devices, including thermometers, pulse oxim...
Deep Learning Respiration Humans COVID-19 Neural Networks, Computer Communicable Diseases
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