AIMC Topic: Oximetry

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Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings.

IEEE journal of biomedical and health informatics Apr 5, 2018
Complexity, costs, and waiting list issues demand a simplified alternative for sleep apnea-hypopnea syndrome (SAHS) diagnosis. The blood oxygen saturation signal (SpO) carries useful information about SAHS and can be easily acquired from overnight ox...
Severity of Illness Index Signal Processing, Computer-Assisted Sleep Apnea Syndromes Oximetry Neural Networks, Computer Machine Learning Adult Home Care Services Humans
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Design and Construction of a Microcontroller-Based Ventilator Synchronized with Pulse Oximeter.

Journal of medical systems Jun 11, 2016
This study aims to introduce a novel device with which mechanical ventilator and pulse oximeter work in synchronization. Serial communication technique was used to enable communication between the pulse oximeter and the ventilator. The SpO2 value and...
Humans Fuzzy Logic Software Design Positive-Pressure Respiration Oximetry
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Automatic classification of apnea/hypopnea events through sleep/wake states and severity of SDB from a pulse oximeter.

Physiological measurement Aug 11, 2015
This study proposes a method of automatically classifying sleep apnea/hypopnea events based on sleep states and the severity of sleep-disordered breathing (SDB) using photoplethysmogram (PPG) and oxygen saturation (SpO2) signals acquired from a pulse...
Oximetry Sleep Apnea Syndromes Wakefulness Sleep Algorithms Photoplethysmography Support Vector Machine Female Severity of Illness Index Humans Male Regression Analysis Sensitivity and Specificity Diagnosis, Computer-Assisted Middle Aged
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Reducing the incidence of oxyhaemoglobin desaturation during rapid sequence intubation in a paediatric emergency department.

BMJ quality & safety Jul 16, 2015
OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emergency medicine. In a video-based study of RSI in a paediatric emergency department (ED), we reported a high degree of process variation and frequent a...
Pediatrics Treatment Outcome Intubation, Intratracheal Humans Video Recording Oxyhemoglobins Incidence Emergency Medicine Checklist Emergency Service, Hospital Oximetry Child Quality Improvement
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Respiratory gas exchange during robotic-assisted laparoscopic radical prostatectomy.

Journal of clinical anesthesia Jul 3, 2015
STUDY OBJECTIVE: Robotic-assisted laparoscopic prostatectomy requires patients to be secured in a steep Trendelenburg position for several hours. Added to the CO2 pneumoperitoneum that is created, this positioning invariably restricts diaphragmatic a...
Middle Aged Hemodynamics Robotics Carbon Dioxide Blood Gas Analysis Prostatic Neoplasms Laparoscopy Humans Pulmonary Gas Exchange Oximetry Head-Down Tilt Retrospective Studies Supine Position Prostatectomy Aged Respiratory Mechanics Male
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An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping method.

The Journal of infection Dec 23, 2014
OBJECTIVES: To classify higher-risk influenza patients within 10 s, we developed an infectious disease and fever screening radar system.
Aged Respiratory Rate Oximetry Sensitivity and Specificity Radar Male Middle Aged Humans Influenza, Human Biosensing Techniques Neural Networks, Computer Heart Rate Japan Mass Screening Female Thermography Fever
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A Comparative Analysis of Federated and Centralized Learning for SpO2 Prediction in Five Critical Care Databases.

Studies in health technology and informatics Aug 22, 2024
This study explores the potential of federated learning (FL) to develop a predictive model of hypoxemia in intensive care unit (ICU) patients. Centralized learning (CL) and local learning (LL) approaches have been limited by the localized nature of d...
Humans Machine Learning Oxygen Hypoxia Critical Care Oximetry Databases, Factual Intensive Care Units Electronic Health Records
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Machine learning-based prediction of cerebral oxygen saturation based on multi-modal cerebral oximetry data.

Health informatics journal Jan 1, 2024
This study develops machine learning-based algorithms that facilitate accurate prediction of cerebral oxygen saturation using waveform data in the near-infrared range from a multi-modal oxygen saturation sensor. Data were obtained from 150,000 observ...
Machine Learning Algorithms Female Oxygen Saturation Humans Male Oximetry Oxygen
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A deep learning model based on the combination of convolutional and recurrent neural networks to enhance pulse oximetry ability to classify sleep stages in children with sleep apnea.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Characterization of sleep stages is essential in the diagnosis of sleep-related disorders but relies on manual scoring of overnight polysomnography (PSG) recordings, which is onerous and labor-intensive. Accordingly, we aimed to develop an accurate d...
Sleep Apnea Syndromes Humans Sleep Apnea, Obstructive Sleep Stages Deep Learning Neural Networks, Computer Oximetry Child
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Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea-Hypopnea Events from the Oximetry Signal.

Advances in experimental medicine and biology Jan 1, 2022
Automated analysis of the blood oxygen saturation (SpO) signal from nocturnal oximetry has shown usefulness to simplify the diagnosis of obstructive sleep apnea (OSA), including the detection of respiratory events. However, the few preceding studies ...
Adult Deep Learning Oxygen Sleep Apnea Syndromes Humans Neural Networks, Computer Sleep Apnea, Obstructive Polysomnography Oximetry
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