Computer Simulation Model of Oxygen Transport in Mechanically Ventilated Preterm Infants for the Development and Evaluation of Automated Oxygen Controllers

Models for oxygen transport in preterm infants can aid the development and evaluation of automated oxygen controllers by providing insight into the FiO2-SpO2 response and enabling virtual trials. A computer simulation model of oxygen transport in preterm infants is developed and FiO2-SpO2 responses in preterm infants are investigated. The model...

An AI algorithm to predict intubations in ICU patients: Predicting intubation to aid medical personnel in the decision to switch from High Flow Nasal Oxygen therapy to intubation

Maasstad Hospital is a member of the Santeon hospital group. The ambition of Santeon is to improve healthcare for patients. The project in this internship also aims to improve patients’ health, specifically patients in the Intensive Care Unit (ICU).<br/>The treatment of respiratory insufficient patients in the ICU consists of High Flow Nasal...

Non-invasive measurement of intracardiac pressures in heart failure patients using machine learning techniques

Background: Solutions targeting early recognition of congestion in heart failure (HF) patients have the potential to prevent readmissions and can thus significantly reduce the burden on HF care. The gold standard measure of congestion is invasively measured pulmonary capillary wedge pressure (PCWP). However, the invasive nature and accessibility...

The ICU-Recover Box: Using Smart Technology For Monitoring Health Status After ICU Admission

Patients who are admitted to the Intensive Care Unit (ICU) are extremely ill and at high risk of organ failure and death. Being admitted to the ICU is known to cause long lasting physical, cognitive, and physiological symptoms, which is called Post-Intensive Care syndrome (PICS). To provide better management of PICS, early recognition and...

Detection of patient-ventilator asynchrony based on esophageal pressure using a convolutional neural network

Introduction: In intensive care units (ICU), the most significant life support technology for patients with acute respiratory failure is mechanical ventilation. A mismatch between ventilatory support and patient demand is referred to as patient-ventilator asynchrony (PVA), and it is associated with a series of adverse...

Is the Microcirculation the Key in Understanding the Development of Shock After Cardiothoracic Surgery?

Cardiothoracic surgery is a common treatment for cardiovascular diseases. Patients are admitted to the ICU after cardiothoracic surgery for continuous monitoring to prevent or treat postoperative complications as much and as soon as possible. One of these complications is the development of circulatory shock. It is likely caused by one or a...

Examining possible improvements to non-invasively measure mitochondrial oxygen tension in a clinical device

Background and objectives: Mitochondria require oxygen to generate energy for essential cellular processes. An in-vivo non-invasive technique to monitor mitochondrial oxygen tension (mitoPO2) is the protoporphyrin IX-triplet state lifetime technique. Protoporphyrin IX (PpIX), one of the key components of heme, is naturally present in the...

Magnetoencephalography to characterize cortical effects of conditioned pain modulation in patients treated with spinal cord stimulation

<b>Introduction</b>: Spinal Cord Stimulation (SCS) is a successful last-resort treatment for chronic pain patients, although its exact mechanisms of action (MOAs) still need to be unraveled. The MOAs of SCS partly rely on spinal mechanisms (gate control theory) and supraspinal mechanisms likely play a role as well. Pain processing involves a...

The Development of a Dashboard to Optimise Neuromonitoring of Paediatric Traumatic Brain Injury Patients in the Intensive Care Unit

<b>Introduction</b> Traumatic brain injury (TBI) is a leading cause of childhood morbidity, disability and mortality worldwide. In the treatment of TBI, neuromonitoring is essential to prevent secondary neurological damage. However, the use of neuromonitoring and specifically therapeutic targets is currently limited evidence-based.<br/><b...

QUANTIFYING EFFECTS OF SPINAL CORD STIMULATION IN CHRONIC REGIONAL PAIN SYNDROME PATIENTS

Background: Complex regional pain syndrome (CRPS) is a clinical disorder characterized by continuous, disproportionate pain and sensory, vasomotor, sudomotor and motor trophic changes. CRPS patients have a heterogeneous clinical picture caused by multiple underlying pathophysiology mechanisms including inflammation, vasomotor disturbances and...

Evaluating morphological patterns in atrial epicardial potentials: Clustering of time series potentials during atrial fibrillation

Introduction: Potentials measured at the epicardial surface contain information regarding the conductive properties of the atrial tissue. The current lack of morphological categorization during atrial fibrillation (AF) provokes the usage of unsupervised learning methods to evaluate time series electrograms across the atrial surface. Analysis of...

Mitigating Neuropathic Pain: From Theory to Practice: Inhibiting Neuroma Pain In­-silico and Measuring Neural Activity In­-vivo

<i>Neuropathic pain</i> (NP) affects approximately seven to ten percent of the general population. Seventeen percent of NP patients scored their life as “worse than death”. A myriad of causes may underlie NP, such as stroke or spinal cord injury. Also, damage or disease of the <i>peripheral nervous system</i> (PNS) may result in NP. One of the...

The area of a unipolar electrogram to identify the arrhythmogenic substrate

Background: Unipolar electrograms (U-EGMs) contain additional information about interatrial activation and conduction in their morphology, which may aid towards improved diagnosis and staging of atrial fibrillation (AF).Objective: The primary objective is to investigate regional differences in electrogram area (EA) during SR and AF and to design...

Automated EEG-based sleep monitoring in critically ill children

Introduction: Sleep deprivation is commonly encountered in critically ill children admitted to the pediatric intensive care unit (PICU) and is associated with poor clinical outcome. Automated electroencephalography (EEG)-based depth of sleep monitoring enables real-time continuous study of sleep in PICU patients without the...

The prediction of extubation failure after surgery in pediatric patients with congenital heart disease

Background and aims<br/>The timing of extubation is a difficult decision for the medical team on the PICU. With negative impact on patient outcome when extubating too late or too early. The aim of this study was to create machine learning models for extubation failure prediction after surgery in patients with congenital heart disease. The goal...

Quantification of postural stability in the healthy population as reference for future research on Dorsal Root Ganglion stimulation in Spinal Cord Injury patients

Introduction: Dorsal-Root-Ganglion (DRG) stimulation has been proposed as a neuromodulatory strategy in spinal cord injury (SCI) patients for the recovery of their impaired postural stability. A detailed evaluation of DRG stimulation-induced effects on postural stability can be obtained by recording center of pressure (CoP) and muscle activity...

Video-Based Two-Dimensional Kinematic Analysis for the Evaluation of Lower Limb Function in Patellar Tendinopathy

Patellar tendinopathy (PT) is a common manifestation in jumping sports characterized by pain and a reduced load bearing capacity. The exact cause of PT has not been determined, which makes it difficult to prevent and treat. A stiffer landing technique might be a risk-factor for PT. Retraining of the landing technique into a less stiffer...

Development of a Computational Model of Respiratory Mechanics in Mechanical Ventilation