Webinars

Continuous, robust, and non-invasive monitoring of vitals with only one wearable sensor having applications in remote, fitness, and mobile health-care devices where both RR and BP are desired.

There is no dynamic approach to decode the arousal from the arousal-performance link. Our algorithm decodes the arousal using skin conductance as well as cognitive performance.

Fractional-order calculus improves arterial compliance modeling for human vascular aging. Our model accurately estimates blood pressure distribution and stiffness, advancing the understanding of cardiovascular disease.

The presented computational study investigated the electrical impedance spectroscopy as a potential method to discriminate thyroid and parathyroid tissue during thyroidectomy.

Vocal biomarkers based on temporal regions of low-arousal and positive-valence achieve an area under the curve of 0.80 in detecting PTSD Check List Civilian (PCL-C) ratings.

Mechanistic virtual patient modeling can be used to infer individualized parameters approximating disease states of patients, significantly reducing biases introduced by learning from heterogeneous datasets and allowing improved discovery of patient cohorts driven exclusively by medical conditions.

We represent a novel semi-supervised framework for medical image classification, which only needs limited labeled data to achieve excellent performance.

Cell tracking and motility analysis are essential for understanding multicellular processes, automated quantification in biomedical experiments, and medical diagnosis and treatment.

Effectively identify high gastric cancer risk patients with CGI from endoscopic images by a novel deep learning network without invasive biopsies.

A novel method for quantifying aleatoric and epistemic uncertainties in the unsupervised and unpaired MR-CT synthesis of scoliotic spines, thus improving model performance and providing interpretable outputs through confidence maps.

This study is the first attempt to combine the multiple modalities of facial expressions, speech, and EEG for emotion recognition. The accuracy and robustness of the emotion recognition method are improved using three improved deep learning models for each modality and an optimal weight distribution-based decision-level fusion method.

Our envisioned smartphone wound assessment system can reduce the significant burden that manual wound grading imposes on wound care nurses.

novel avenue to measure tissue oxygen saturation noninvasively with high accuracy using a multiwavelength LED and a photodetector was developed and verified with an optical simulation and in-vivo experiment.

The unique and often overlooked interdependence between fNIRS probe design and neural network architecture is demonstrated. A novel and effective BCI model is presented, which can be generalised to multi-wavelength, broadband, and hybrid fNIRS data.

Non-invasive, diffuse optics-based impedance measurements were performed on three non-human primates undergoing cerebral perfusion pressure-based autoregulation challenges. The results show impedance can be used as a non-invasive biomarker of cerebral health.

Spontaneous cerebral hemodynamics measured with near-infrared spectroscopy feature a significant coherence with systemic arterial blood pressure for about 10%–30% of the time at a relevant autoregulation frequency of 0.1 Hz.

This paper examines the current medicolegal deficiencies of physicians providing healthcare to spaceflight participants during spaceflight. As spaceflight becomes increasingly common, new Canadian legislation is required to address these gaps.

We demonstrate a lightweight, compact, and highly reconfigurable microgravity simulating toolbox built on a 3D-printed microscope integrated with a 2D clinostat system for democratizing astrobiology research and education.

Identifying changes in human electrical brain and muscle activation dynamics in simulated low-gravity provides opportunities to intervene and mitigate gait and balance deficits following spaceflight.

Koh Block cognitive test indicates that adding sound transparency to an IVA space suit is correlated with higher cognitive performance in a simulated astronaut environment.

Space exploration constraints create an innovative opportunity to improve healthcare equity and health outcomes with comprehensive solutions under the guidance of best practices from both terrestrial and spaceflight alike.

The SPUTA VACCUMER is a 3D printable device that can remove sputum and foreign matters without inserting a suction catheter into the trachea.

Exergames are an interactive video gaming system that requires bodily movement to play and function, thereby stimulating a form of physical activity.

Advances in space medicine and life sciences can boost the technological development in digital health for ground and space applications, including the area of telepharmacy.

This paper proposes a definition for Earth Independent Medical Operations, describes the key components, and outlines directions for future work.

Medical capabilities for use in space require regulations.