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Network Data Acquisition and Monitoring System for Intensive Care Mechanical Ventilation Treatment

https://doi.org/10.1109/access.2021.3092194

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.2010.218openalex-snapshot

Higher vs Lower Positive End-Expiratory Pressure in Patients With Acute Lung Injury and Acute Respiratory Distress Syndrome

inferredcites →https://doi.org/10.1001/jama.299.6.637openalex-snapshot

Ventilation Strategy Using Low Tidal Volumes, Recruitment Maneuvers, and High Positive End-Expiratory Pressure for Acute Lung Injury and Acute Respiratory Distress Syndrome

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Positive End-Expiratory Pressure Setting in Adults With Acute Lung Injury and Acute Respiratory Distress Syndrome

inferredcites →https://doi.org/10.1002/cphy.c110030openalex-snapshot

Ventilatory Failure, Ventilator Support, and Ventilator Weaning

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Mechanically ventilated premature babies have sex differences in specific elastance: A pilot study

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Data Collection and Analysis in the ICU

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Validation of the Better Care® system to detect ineffective efforts during expiration in mechanically ventilated patients: a pilot study

inferredcites →https://doi.org/10.1007/s10439-019-02253-wopenalex-snapshot

Predictive Virtual Patient Modelling of Mechanical Ventilation: Impact of Recruitment Function

inferredcites →https://doi.org/10.1007/s10877-006-9049-5openalex-snapshot

Using physiological models and decision theory for selecting appropriate ventilator settings

inferredcites →https://doi.org/10.1007/s11517-011-0851-yopenalex-snapshot

Characterisation of the iterative integral parameter identification method

inferredcites →https://doi.org/10.1016/b978-0-12-814923-2.00002-7openalex-snapshot

Innovations in mHealth, Part 2

inferredcites →https://doi.org/10.1016/j.arcontrol.2019.05.001openalex-snapshot

Optimising mechanical ventilation through model-based methods and automation

inferredcites →https://doi.org/10.1016/j.aucc.2010.03.003openalex-snapshot

Clinical application of ventilator modes: Ventilatory strategies for lung protection

inferredcites →https://doi.org/10.1016/j.bspc.2011.03.001openalex-snapshot

Positive end expiratory pressure in patients with acute respiratory distress syndrome – The past, present and future

inferredcites →https://doi.org/10.1016/j.bspc.2015.07.007openalex-snapshot

Respiratory mechanics assessment for reverse-triggered breathing cycles using pressure reconstruction

inferredcites →https://doi.org/10.1016/j.bspc.2019.04.015openalex-snapshot

Quantifying neonatal pulmonary mechanics in mechanical ventilation

inferredcites →https://doi.org/10.1016/j.cmpb.2016.03.025openalex-snapshot

Assessing respiratory mechanics using pressure reconstruction method in mechanically ventilated spontaneous breathing patient

inferredcites →https://doi.org/10.1016/j.cmpb.2018.02.007openalex-snapshot

Assessing mechanical ventilation asynchrony through iterative airway pressure reconstruction

inferredcites →https://doi.org/10.1016/j.cmpb.2019.105184openalex-snapshot

Inspiratory respiratory mechanics estimation by using expiratory data for reverse-triggered breathing cycles

inferredcites →https://doi.org/10.1016/j.cmpb.2020.105696openalex-snapshot

Prediction of lung mechanics throughout recruitment maneuvers in pressure-controlled ventilation

inferredcites →https://doi.org/10.1016/j.cmpb.2020.105912openalex-snapshot

Virtual patients for mechanical ventilation in the intensive care unit

inferredcites →https://doi.org/10.1016/j.compbiomed.2020.103721openalex-snapshot

Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network

inferredcites →https://doi.org/10.1016/j.ifacol.2018.11.610openalex-snapshot

A MACHINE LEARNING MODEL FOR REAL-TIME ASYNCHRONOUS BREATHING MONITORING

inferredcites →https://doi.org/10.1016/j.ifacol.2018.11.641openalex-snapshot

Clinical Application of Respiratory Elastance (CARE Trial) for Mechanically Ventilated Respiratory Failure Patients: A Model-based Study

inferredcites →https://doi.org/10.1016/j.ifacol.2020.12.432openalex-snapshot

Virtual Mechanical Ventilation Protocol – A Model-based Method To determine MV Settings

inferredcites →https://doi.org/10.1016/j.jcrc.2005.05.008openalex-snapshot

Incidence of acute respiratory distress syndrome and its relation to age

inferredcites →https://doi.org/10.1016/j.jcrc.2008.08.011openalex-snapshot

Observational study of patient-ventilator asynchrony and relationship to sedation level

inferredcites →https://doi.org/10.1016/j.mayocp.2017.05.004openalex-snapshot

Mechanical Ventilation: State of the Art

inferredcites →https://doi.org/10.1016/s2213-2600(19)30138-9openalex-snapshot

Personalised mechanical ventilation tailored to lung morphology versus low positive end-expiratory pressure for patients with acute respiratory distress syndrome in France (the LIVE study): a multicentre, single-blind, randomised controlled trial

inferredcites →https://doi.org/10.1017/cbo9780511627156openalex-snapshot

Lung Mechanics

inferredcites →https://doi.org/10.1017/s0265021505001870openalex-snapshot

Predictors of mortality in ARDS patients referred to a tertiary care centre

inferredcites →https://doi.org/10.1038/s41598-017-15052-xopenalex-snapshot

Development and Validation of a Multi-Algorithm Analytic Platform to Detect Off-Target Mechanical Ventilation

inferredcites →https://doi.org/10.1038/s41746-021-00388-6openalex-snapshot

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care

inferredcites →https://doi.org/10.1056/nejm200005043421801openalex-snapshot

Ventilation with Lower Tidal Volumes as Compared with Traditional Tidal Volumes for Acute Lung Injury and the Acute Respiratory Distress Syndrome

inferredcites →https://doi.org/10.1056/nejmoa032193openalex-snapshot

Higher versus Lower Positive End-Expiratory Pressures in Patients with the Acute Respiratory Distress Syndrome

inferredcites →https://doi.org/10.1063/1.4963307openalex-snapshot

A new system for continuous and remote monitoring of patients receiving home mechanical ventilation

inferredcites →https://doi.org/10.1088/2057-1976/aa5a31openalex-snapshot

Differences in respiratory mechanics estimation with respect to manoeuvres and mathematical models

inferredcites →https://doi.org/10.1093/jamia/ocaa067openalex-snapshot

Telehealth transformation: COVID-19 and the rise of virtual care

inferredcites →https://doi.org/10.1093/jamia/ocx116openalex-snapshot

Development of a research-oriented system for collecting mechanical ventilator waveform data

inferredcites →https://doi.org/10.1097/01.ccm.0000164543.14619.00openalex-snapshot

Daily cost of an intensive care unit day: The contribution of mechanical ventilation*

inferredcites →https://doi.org/10.1097/ccm.0000000000003133openalex-snapshot

An Open-Loop, Physiologic Model–Based Decision Support System Can Provide Appropriate Ventilator Settings

inferredcites →https://doi.org/10.1097/ccm.0b013e3181ef4460openalex-snapshot

The epidemiology of mechanical ventilation use in the United States*

inferredcites →https://doi.org/10.1097/eja.0000000000000804openalex-snapshot

Protective ventilation during anaesthesia reduces major postoperative complications after lung cancer surgery

inferredcites →https://doi.org/10.1097/mcc.0b013e32801162dfopenalex-snapshot

Lung mechanics at the bedside: make it simple

inferredcites →https://doi.org/10.1109/mprv.2020.2986767openalex-snapshot

Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care Unit

inferredcites →https://doi.org/10.1164/rccm.200710-1589ocopenalex-snapshot

Lung Stress and Strain during Mechanical Ventilation for Acute Respiratory Distress Syndrome

inferredcites →https://doi.org/10.1164/rccm.200802-335ocopenalex-snapshot

Recruitment Maneuvers for Acute Lung Injury

inferredcites →https://doi.org/10.1164/rccm.201804-0726ciopenalex-snapshot

The Injurious Effects of Elevated or Nonelevated Respiratory Rate during Mechanical Ventilation

inferredcites →https://doi.org/10.1164/rccm.202009-3536ocopenalex-snapshot

Effect of Lowering V t on Mortality in Acute Respiratory Distress Syndrome Varies with Respiratory System Elastance

inferredcites →https://doi.org/10.1183/09031936.98.12030526openalex-snapshot

Measurement of overinflation by multiple linear regression analysis in patients with acute lung injury

inferredcites →https://doi.org/10.1183/20734735.007817openalex-snapshot

Trends in mechanical ventilation: are we ventilating our patients in the best possible way?

inferredcites →https://doi.org/10.1186/1475-925x-10-111openalex-snapshot

Model-based PEEP optimisation in mechanical ventilation

inferredcites →https://doi.org/10.1186/1475-925x-10-64openalex-snapshot

Model-based optimal PEEP in mechanically ventilated ARDS patients in the Intensive Care Unit

inferredcites →https://doi.org/10.1186/1475-925x-12-57openalex-snapshot

Expiratory model-based method to monitor ARDS disease state

inferredcites →https://doi.org/10.1186/1475-925x-12-9openalex-snapshot

Analysis of different model-based approaches for estimating dFRC for real-time application

inferredcites →https://doi.org/10.1186/1475-925x-13-140openalex-snapshot

The Clinical Utilisation of Respiratory Elastance Software (CURE Soft): a bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management

inferredcites →https://doi.org/10.1186/1756-0500-7-404openalex-snapshot

When the value of gold is zero

inferredcites →https://doi.org/10.1186/2197-425x-3-s1-a681openalex-snapshot

Model-based optimization of peep, a strategy and its implementation

inferredcites →https://doi.org/10.1186/cc11146openalex-snapshot

Clinical review: Respiratory monitoring in the ICU - a consensus of 16

inferredcites →https://doi.org/10.1186/cc6093openalex-snapshot

Positive end-expiratory pressure at minimal respiratory elastance represents the best compromise between mechanical stress and lung aeration in oleic acid induced lung injury

inferredcites →https://doi.org/10.1186/cc6961openalex-snapshot

Comparison of functional residual capacity and static compliance of the respiratory system during a positive end-expiratory pressure (PEEP) ramp procedure in an experimental model of acute respiratory distress syndrome

inferredcites →https://doi.org/10.1186/s12871-020-01182-9openalex-snapshot

Evaluation of alveolar recruitment maneuver on respiratory resistance during general anesthesia: a prospective observational study

inferredcites →https://doi.org/10.1186/s12938-017-0415-yopenalex-snapshot

Prediction of high airway pressure using a non-linear autoregressive model of pulmonary mechanics

inferredcites →https://doi.org/10.1186/s12938-018-0455-yopenalex-snapshot

Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them

inferredcites →https://doi.org/10.1186/s12938-018-0599-9openalex-snapshot

Biomedical engineer’s guide to the clinical aspects of intensive care mechanical ventilation

inferredcites →https://doi.org/10.1186/s12938-020-00777-0openalex-snapshot

Measuring lung mechanics of expiratory tidal breathing with non-invasive breath occlusion

inferredcites →https://doi.org/10.1186/s12961-015-0057-0openalex-snapshot

Evidence-based medicine: is it a bridge too far?

inferredcites →https://doi.org/10.1186/s12962-020-00254-4openalex-snapshot

The potential of real-time analytics to improve care for mechanically ventilated patients in the intensive care unit: an early economic evaluation

inferredcites →https://doi.org/10.1186/s13054-018-2199-2openalex-snapshot

Volutrauma and atelectrauma: which is worse?

inferredcites →https://doi.org/10.1186/s13054-018-2301-9openalex-snapshot

Artificial intelligence in the intensive care unit

inferredcites →https://doi.org/10.1186/s13054-020-2785-yopenalex-snapshot

Artificial Intelligence in the Intensive Care Unit

inferredcites →https://doi.org/10.1186/s13063-019-4035-7openalex-snapshot

Model-based PEEP titration versus standard practice in mechanical ventilation: a randomised controlled trial

inferredcites →https://doi.org/10.1186/s40635-019-0234-5openalex-snapshot

Patient-ventilator asynchronies during mechanical ventilation: current knowledge and research priorities

inferredcites →https://doi.org/10.1186/s40814-015-0006-2openalex-snapshot

Feasibility of titrating PEEP to minimum elastance for mechanically ventilated patients

inferredcites →https://doi.org/10.1197/jamia.m2219openalex-snapshot

Assessing Data Quality in Manual Entry of Ventilator Settings

inferredcites →https://doi.org/10.1371/journal.pone.0114847openalex-snapshot

Time-Varying Respiratory System Elastance: A Physiological Model for Patients Who Are Spontaneously Breathing

inferredcites →https://doi.org/10.1378/chest.06-1515openalex-snapshot

Mechanical Ventilation in ARDS

inferredcites →https://doi.org/10.1378/chest.07-1121openalex-snapshot

Risk Factors for ARDS in Patients Receiving Mechanical Ventilation for > 48 h

inferredcites →https://doi.org/10.1378/chest.109.4.1127openalex-snapshot

Barotrauma vs Volutrauma-To the Editor

inferredcites →https://doi.org/10.1378/chest.116.suppl_1.9s-aopenalex-snapshot

Lung Injury Caused by Mechanical Ventilation

inferredcites →https://doi.org/10.1513/annalsats.201605-362ocopenalex-snapshot

Effect of Tidal Volume Size and Its Delivery Mode on Patient–Ventilator Dyssynchrony

inferredcites →https://doi.org/10.17925/erpd.2019.5.1.12openalex-snapshot

Mathematical and Computational Modelling in Critical Illness

inferredcites →https://doi.org/10.21037/atm.2017.12.06openalex-snapshot

Electrical impedance tomography

inferredcites →https://doi.org/10.3389/fphys.2019.00803openalex-snapshot

Variable Ventilation Is Equally Effective as Conventional Pressure Control Ventilation for Optimizing Lung Function in a Rabbit Model of ARDS

inferredcites →https://doi.org/10.3390/s20030653openalex-snapshot

A Low-Cost Breath Analyzer Module in Domiciliary Non-Invasive Mechanical Ventilation for Remote COPD Patient Monitoring

inferredcites →https://doi.org/10.4018/978-1-5225-2848-7.ch006openalex-snapshot

Electrical Impedance Tomography

inferredcites →https://doi.org/10.4103/0970-9185.117096openalex-snapshot

Data acquisition from S/5 GE Datex anesthesia monitor using VSCapture: An open source.NET/Mono tool

inferredcites →https://doi.org/10.4187/respcare.01077openalex-snapshot

Monitoring of Patient-Ventilator Interaction at the Bedside

inferredcites →https://doi.org/10.4187/respcare.02068openalex-snapshot

Individualized PEEP Setting in Subjects With ARDS: A Randomized Controlled Pilot Study

inferredcites →https://doi.org/10.4187/respcare.05500055openalex-snapshot

Respiratory Mechanics Derived From Signals in the Ventilator Circuit

inferredcites →https://doi.org/10.4187/respcare.05775openalex-snapshot

Parameters for Simulation of Adult Subjects During Mechanical Ventilation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4095176openalex-extracted

Convolutional Neural Network for Monitoring Asynchronous Breathing Waveform During Mechanical Ventilation Treatment

inferred← citeshttps://doi.org/10.2139/ssrn.4809360openalex-extracted

Computer Vision-Based Radial Basis Function Networks in Healthcare Applications

inferred← citeshttps://doi.org/10.1002/9781119857433.ch17openalex-snapshot

Digital Twins and Automation of Care in the Intensive Care Unit

inferred← citeshttps://doi.org/10.1007/978-3-032-13022-8_30openalex-snapshot

An Efficient Interaction Human-AI Synergy System Bridging Visual Awareness and Large Language Model for Intensive Care Units

inferred← citeshttps://doi.org/10.1007/s10439-021-02854-4openalex-snapshot

Stochastic Modelling of Respiratory System Elastance for Mechanically Ventilated Respiratory Failure Patients

inferred← citeshttps://doi.org/10.1007/s40860-023-00213-9openalex-snapshot

Assessing the impact of battery charging and discharging times on the availability of mechanical ventilation service

inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107728openalex-snapshot

Virtual patient with temporal evolution for mechanical ventilation trial studies: A stochastic model approach

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.106275openalex-snapshot

Predicting mechanically ventilated patients future respiratory system elastance – A stochastic modelling approach

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.106459openalex-snapshot

Comprehensive breathing variability indices enhance the prediction of extubation failure in patients on mechanical ventilation

inferred← citeshttps://doi.org/10.1016/j.ifacol.2021.10.241openalex-snapshot

Safe Mechanical Ventilation Treatment Settings for Respiratory Failure Patients

inferred← citeshttps://doi.org/10.1016/j.ifacol.2021.10.242openalex-snapshot

Model-based Patient Matching for in-parallel Multiplexing Mechanical Ventilation Support

inferred← citeshttps://doi.org/10.1016/j.ifacol.2021.10.276openalex-snapshot

Classification Patient-Ventilator Asynchrony with Dual-Input Convolutional Neural Network

inferred← citeshttps://doi.org/10.1016/j.ifacol.2024.11.019openalex-snapshot

Comparative Virtual Trials: Pressure-Controlled versus Volume-Controlled Stochastic Integrated Model-Based Mechanical Ventilation Protocols

inferred← citeshttps://doi.org/10.1016/j.ifacol.2024.11.088openalex-snapshot

Mechanical Ventilation Mode Classification: A Dual-Input Convolutional Neural Network Approach with Class Activation Mapping

inferred← citeshttps://doi.org/10.1016/j.ifacol.2024.11.098openalex-snapshot

Simulated COPD in Healthy People with Increasing PEEP

inferred← citeshttps://doi.org/10.1016/j.ifacsc.2023.100236openalex-snapshot

Automatic patient-ventilator asynchrony detection framework using objective asynchrony definitions

inferred← citeshttps://doi.org/10.1016/j.ifacsc.2024.100266openalex-snapshot

Exploring variable observational time windows for patient–ventilator asynchrony during mechanical ventilation treatment

inferred← citeshttps://doi.org/10.1016/j.ifacsc.2025.100334openalex-snapshot

Stochastic virtual patient-guided mechanical ventilation treatment: A virtual patient study with mechanical power consideration

inferred← citeshttps://doi.org/10.1038/s41598-023-42229-4openalex-snapshot

Tele-monitoring system for intensive care ventilators in isolation rooms

inferred← citeshttps://doi.org/10.1109/access.2023.3323872openalex-snapshot

Multi-Modal Feature Fusion-Based Machine Learning to Detect Abnormal Mechanical Ventilation

inferred← citeshttps://doi.org/10.1109/access.2024.3435386openalex-snapshot

Multi-Device Universal Automation Data Acquisition and Integration System

inferred← citeshttps://doi.org/10.1109/etcm67548.2025.11304375openalex-snapshot

Innovation and resilience in medical imaging servers: an alternative based on Synology DSM and ARPL on commodity hardware

inferred← citeshttps://doi.org/10.1109/iceeccot52851.2021.9707921openalex-snapshot

Encrypted NAS using Raspberry Pi 4

inferred← citeshttps://doi.org/10.1109/iecbes54088.2022.10079532openalex-snapshot

Model-based Analysis of Respiratory Mechanics and Parameters in Critically Ill Mechanically Ventilated Patients

inferred← citeshttps://doi.org/10.1109/iecbes54088.2022.10079652openalex-snapshot

Effects of Data Structure in Convolutional Neural Network for Detection of Asynchronous Breathing in Mechanical Ventilation Treatment

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3471822openalex-snapshot

Design of a Multi-Parameter Fusion Sensor and System for Respiratory Monitoring of Mechanically Ventilated Patients in the ICU

inferred← citeshttps://doi.org/10.1155/2022/4981539openalex-snapshot

Design of System‐of‐System Acquisition Analysis Using Machine Learning

inferred← citeshttps://doi.org/10.1186/s12938-022-00981-0openalex-snapshot

Stochastic integrated model-based protocol for volume-controlled ventilation setting

inferred← citeshttps://doi.org/10.1186/s12938-022-00983-yopenalex-snapshot

Model-based patient matching for in-parallel pressure-controlled ventilation

inferred← citeshttps://doi.org/10.3389/fdgth.2025.1694839openalex-snapshot

Architectural patterns for health information systems: a systematic review

inferred← citeshttps://doi.org/10.4028/p-6z381mopenalex-snapshot

Optimal Long Distance ECG Signal Data Delivery Using LoRa Technology

inferred← citeshttps://doi.org/10.6084/m9.figshare.19151343openalex-snapshot

Additional file 1 of Model-based patient matching for in-parallel pressure-controlled ventilation

inferred← citeshttps://doi.org/10.62906/bs.book.378openalex-snapshot

Ventilators and Respiratory Support Devices: Engineering and Clinical Insights

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