Shape analysis of training data for neural networks in Electrical Impedance Tomography.

Electrical Impedance Tomography (EIT) is a cost-effective and fast way to visualize dielectric properties of the human body, through the injection of alternating currents and measurement of the resulting potential on the bodies surface. However, this comes at the cost of low resolution as EIT is a non-linear ill-posed inverse problem. Recently Deep Learning methods have gained the interest in this field, as they provide a way to mimic non-linear functions.

Early Prediction of Neonatal Sepsis From Synthetic Clinical Data Using Machine Learning.

Neonatal sepsis is one of the most serious complications in neonatal intensive care units. Due to the often immature immune system, sepsis-related comorbidities are the major contributors to increased neonatal mortality. The rapid progression of the disease makes early treatment critical for patient survival.

A Physical Phantom for the Simulation of Neonatal Thermoregulation.

Preterm infants are at an increased health risk due to their low maturity. To monitor their health, vital signs are measured using contact-based methods. The adhesive sensors used to detect body temperature can damage the sensitive skin of neonates.

On the cardiorespiratory coordination assessed by the photoplethysmography imaging technique.

Cardiorespiratory coordination (CRC) probes the interaction between cardiac and respiratory oscillators in which cardiac and respiratory activity are synchronized, with individual heartbeats occurring at approximately the same temporal positions during several breathing cycles. An increase of CRC has previously been related to pathological stressful states. We studied CRC employing coordigrams computed from non-contact photoplethysmography imaging (PPGI) and respiratory data using the optical flow method.

Multi-modal body part segmentation of infants using deep learning.

Background: Monitoring the body temperature of premature infants is vital, as it allows optimal temperature control and may provide early warning signs for severe diseases such as sepsis. Thermography may be a non-contact and wireless alternative to state-of-the-art, cable-based methods. For monitoring use in clinical practice, automatic segmentation of the different body regions is necessary due to the movement of the infant.

Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset.

In today's neonatal intensive care units, monitoring vital signs such as heart rate and respiration is fundamental for neonatal care. However, the attached sensors and electrodes restrict movement and can cause medical-adhesive-related skin injuries due to the immature skin of preterm infants, which may lead to serious complications. Thus, unobtrusive camera-based monitoring techniques in combination with image processing algorithms based on deep learning have the potential to allow cable-free vital signs measurements.

Camera fusion for real-time temperature monitoring of neonates using deep learning.

The continuous monitoring of vital signs is a crucial aspect of medical care in neonatal intensive care units. Since cable-based sensors pose a potential risk for the immature skin of preterm infants, unobtrusive monitoring techniques using camera systems are increasingly investigated. The combination of deep learning-based algorithms and camera modalities such as RGB and infrared thermography can improve the development of cable-free methods for the extraction of vital parameters.

On the spatial phase distribution of cutaneous low-frequency perfusion oscillations.

Distributed cutaneous tissue blood volume oscillations contain information on autonomic nervous system (ANS) regulation of cardiorespiratory activity as well as dominating thermoregulation. ANS associated with low-frequency oscillations can be quantified in terms of frequencies, amplitudes, and phase shifts. The relative order between these faculties may be disturbed by conditions colloquially termed 'stress'.

A Setup for Camera-Based Detection of Simulated Pathological States Using a Neonatal Phantom.

Premature infants are among the most vulnerable patients in a hospital. Due to numerous complications associated with immaturity, a continuous monitoring of vital signs with a high sensitivity and accuracy is required. Today, wired sensors are attached to the patient's skin.

A Neonatal Phantom for Vital Signs Simulation.

Neonatal intensive care units provide vital medical support for premature infants. The key aspect in neonatal care is the continuous monitoring of vital signs measured using adhesive skin sensors. Since sensors can cause irritation of the skin and lead to infections, research focuses on contact-free, camera-based methods such as infrared thermography and photoplethysmography imaging.

Going Online in Pandemic Time: A DivulgaMicro Workshop Experience.

DivulgaMicro is a Brazilian science communication and outreach project run by three young female scientists. In 2020, due to the COVID-19 pandemic, we promoted the first virtual edition of the DivulgaMicro Workshop. Here, we describe adaptations implemented to deliver the virtual edition and its assessment by the participants.

A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients.

Infrared thermography for camera-based skin temperature measurement is increasingly used in medical practice, e.g., to detect fevers and infections, such as recently in the COVID-19 pandemic.

and Conductivity Models of the Left Heart Ventricle.

Ventricular Assist Devices (VADs) are used to treat patients with cardiogenic shock. As the heart is unable to supply the organs with sufficient oxygenated blood and nutrients, a VAD maintains the circulation to keep the patient alive. The observation of the patient's hemodynamics is crucial for an individual treatment; therefore, sensors to measure quantifiable hemodynmaic parameters are desirable.

Fast body part segmentation and tracking of neonatal video data using deep learning.

Photoplethysmography imaging (PPGI) for non-contact monitoring of preterm infants in the neonatal intensive care unit (NICU) is a promising technology, as it could reduce medical adhesive-related skin injuries and associated complications. For practical implementations of PPGI, a region of interest has to be detected automatically in real time. As the neonates' body proportions differ significantly from adults, existing approaches may not be used in a straightforward way, and color-based skin detection requires RGB data, thus prohibiting the use of less-intrusive near-infrared (NIR) acquisition.

Photoplethysmography imaging:camera performance evaluation by means of an optoelectronic skin perfusion phantom.

Objective: Photoplethysmography imaging (PPGI) is a promising contactless camera-based method of non-invasive cardiovascular diagnostics. To achieve the best results, it is important to choose the most suitable camera for a specific application. The settings of the camera influence the quality of the detected signal.

Diffusion weighted image documented cerebral ischemia in the postprocedural period following pipeline embolization device with shield technology treatment of unruptured intracranial aneurysms: a prospective, single center study.

Objective: Acute ischemic stroke and silent cerebral infarctions following pipeline embolization device (PED) treatment of intracranial aneurysms have been estimated to occur in 3-6% and in 50.9-90% of patients respectively. The PED with Shield technology (PED-Shield) incorporates a surface phosphorylcholine polymer to reduce the thrombogenicity of the implant.

A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum.

Objectives: Camera-based vital sign estimation allows the contactless assessment of important physiological parameters. Seminal contributions were made in the 1930s, 1980s, and 2000s, and the speed of development seems ever increasing. In this suivey, we aim to overview the most recent works in this area, describe their common features as well as shortcomings, and highlight interesting "outliers".

Young adult patient with headache, fever and blurred vision.

Background And Importance: This case highlights the fact that acute pituitary apoplexy may be misdiagnosed due to being confused with other entities exhibiting similar symptoms, such as meningitis or subarachnoid hemorrhage.

Clinical Presentation: A patient in his late 30s presented with sudden and severe frontal headache, fever, blurred vision, nausea, confusion, as well as oculomotor palsy (CN III) with partial ptosis of the left eyelid, dilated left pupil and left eye globe deviation inferiorly and laterally. The final diagnosis was acute pituitary apoplexy complicating a pituitary macroadenoma.

Combined genomic and structural analyses of a cultured magnetotactic bacterium reveals its niche adaptation to a dynamic environment.

Background: Magnetotactic bacteria (MTB) are a unique group of prokaryotes that have a potentially high impact on global geochemical cycling of significant primary elements because of their metabolic plasticity and the ability to biomineralize iron-rich magnetic particles called magnetosomes. Understanding the genetic composition of the few cultivated MTB along with the unique morphological features of this group of bacteria may provide an important framework for discerning their potential biogeochemical roles in natural environments.

Results: Genomic and ultrastructural analyses were combined to characterize the cultivated magnetotactic coccus Magnetofaba australis strain IT-1.

Pituitary abscess: a case report and review of the literature.

Unlabelled: Pituitary abscess is a rare life-threating entity that is usually misdiagnosed as a pituitary tumor with a definite diagnosis only made postoperatively. Over the last several decades, advances in healthcare have led to a significant decrease in morbidity and mortality due to pituitary abscess. We report a case of a 34-year-old woman who was admitted to our department for investigation of a pituitary mass and with symptoms of pituitary dysfunction, headaches and impaired vision.

Recurrent inguinal hernia repair: what is the evidence of case series? A meta-analysis and metaregression analysis.

To examine, if case series considered together with observational studies tend to produce similar results as randomized-controlled trials (RCTs), on recurrent hernia repair. A systematic literature review and meta-analysis between 1990 and 2013 revealed 46 nonrandomized studies (NRCTs) and 5 RCTs including 25,730 patients. A direct comparison of the summary estimates between RCTs and NRCTs is presented.

New cerebral ischemic lesions after carotid endarterectomy.

Background: We sought to investigate the incidence and location of new cerebral ischemic lesions after carotid endarterectomy (CEA) using diffusion-weighted magnetic resonance imaging (DW-MRI).

Methods: Sixty-six consecutive patients (50 males with a mean [±SD] age of 69 ± 9 years) who underwent CEA were included in this prospective study. Seventeen patients were symptomatic and 49 patients were asymptomatic.

A 17 year-old girl with a demyelinating disease requiring mechanical ventilation: a case report.

Background: Demyelinating diseases cause destruction of the myelin sheath, while axons are relatively spared. Pathologically, demyelination can be the result of an inflammatory process, viral infection, acquired metabolic derangement and ischemic insult. Three diseases that can cause inflammatory demyelination of the CNS are: Multiple sclerosis (MS), Acute disseminated encephalomyelitis (ADEM) and Acute hemorrhagic leucoencephalitis.