As the leading cause of trauma-related mortality, blood loss due to hemorrhage is notoriously difficult triage and manage. To enable timely appropriate care for patients with trauma, this work elucidates externally measurable physiological features exsanguination, which were used develop a globalized model assessing volume status (BVS) or relative severity loss. These captured via both multimodal wearable system catheter-based reference accurately infer BVS in porcine (

The seismocardiogram (SCG) is a noninvasively-obtained cardiovascular bio-signal that has gained traction in recent years, however limited by its susceptibility to noise and motion artifacts. Because of this, signal quality must be assured before data are used inform clinical care. Common methods assurance include classification or assignment numerical index. Such tasks difficult with SCG because there no accepted standard for morphology. In this paper, we propose unified method indexing...

The ballistocardiogram (BCG), a cardiac vibration signal, has been widely investigated for continuous monitoring of heart rate (HR). Among BCG sensing modalities, hospital bed with multi-channel load-cells could provide robust HR estimation in setups. In this work, we present novel array processing technique to improve the existing algorithm by optimizing fusion information from multiple channels. includes Gaussian curve weight joint probability according reference value obtained previous...

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective:</i> Wearable systems that enable continuous non-invasive monitoring of hemodynamic parameters can aid in cardiac health evaluation non-hospital settings. The seismocardiogram (SCG) is a non-invasively acquired cardiovascular biosignal for which timings fiducial points, like aortic valve opening (AO) and closing (AC), estimation key parameters. However, SCG susceptible to motion...

Wearable systems can provide accurate cardiovascular evaluations by estimating hemodynamic indices in real-time. Key parameters be non-invasively estimated using the seismocardiogram (SCG), a cardiomechanical signal whose features link to cardiac events like aortic valve opening (AO) and closing (AC). However, tracking single SCG feature is unreliable due physiological changes, motion artifacts, external vibrations. This work proposes an adaptable Gaussian Mixture Model (GMM) track multiple...

Hypovolemic shock is one of the leading causes death in military. The current methods assessing hypovolemia field settings rely on a clinician assessment vital signs, which an unreliable severity. These often detect when interventional are ineffective. Therefore, there need to develop real-time sensing for early detection hypovolemia. Previously, our group developed random-forest model that successfully estimated absolute blood-volume status (ABVS) from noninvasive wearable sensor data...

Hypovolemia remains the leading cause of preventable death in trauma cases. Recent research has demonstrated that using noninvasive continuous waveforms rather than traditional vital signs improves accuracy early detection hypovolemia to assist triage and resuscitation. This work evaluates random forest models trained on different subsets data from a pig model (n = 6) absolute (bleeding) relative (nitroglycerin-induced vasodilation) progressive (to 20% decrease mean arterial pressure)...

In the field of cardiac monitoring, seismocardiogram (SCG) measures movement chest wall using accelerometers and gyroscopes. A key limitation SCG signals is their sensitivity to transient signal disruptions primarily due motion artifacts. This work describes a method for automated extraction time-domain features in presence such artifacts, an iterative clustering re-sampling optimize consistency. The accelerometer (axl) gyroscope (gyr) extracted with this are shown correlate more strongly...

Although respiratory failure is one of the primary causes admission to intensive care, importance placed on measurement parameters commonly overshadowed compared cardiac parameters. With increased demand for unobtrusive yet quantifiable monitoring, many technologies have been proposed recently. However, there are challenges be addressed such enable widespread use. In this work, we explore feasibility using load cell sensors embedded a hospital bed monitoring rate (RR) and tidal volume (TV)....

This paper presents a novel computational algorithm to estimate blood volume decompensation state based on machine learning (ML) analysis of multi-modal wearable-compatible physiological signals. To the best our knowledge, may be first its kind which can not only discriminate normovolemia from hypovolemia but also classify into absolute and relative hypovolemia. We realized classification by (i) extracting multitude features signals including electrocardiogram (ECG), seismocardiogram (SCG),...

The seismocardiogram (SCG) measures the movement of chest wall in response to underlying cardiovascular events. Though this signal contains clinically-relevant information, its morphology is both patient-specific and highly transient. In light recent work suggesting existence population-level patterns SCG signals, objective study develop a method which harnesses these enable robust processing despite morphological variability. Specifically, we introduce generative factor encoding (SGFE),...

Local oscillation of the chest wall in response to events during cardiac cycle may be captured using a sensing modality called seismocardiography (SCG), which is commonly used infer time intervals (CTIs) such as pre-ejection period (PEP). An important factor impeding ubiquitous application SCG for monitoring that morphological variability signals makes consistent inference CTIs difficult task time-domain. The goal this work therefore enable SCG-based physiological trauma-induced hemorrhage...

Numerous applications require accurate estimation of respiratory timings. Respiratory effort (RSP) measurement is a popular approach to accomplish this, especially when the tightness sensing belt around chest can be ensured. In less controlled settings, however, looseness and artifacts from movement on corrupt signal. This paper demonstrates that respiration quality indexing outlier removal help mitigate these issues, improving estimates rate (RR), inspiration time (Ti), expiration <tex...

The present article applies the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula> -nearest neighbors ( -NN) machine learning (ML) algorithm to detect and correct single-event upsets (SEUs). In particular, this work focuses on SEUs resulting from transients in RF systems carrying modulated data. Pulsed-laser measurements were performed, used train separate -NN algorithms these...

Holovideo displays are based on light-bending spatial light modulators. One such modulator is the anisotropic leaky mode modulator. This particularly well suited for holographic video experimentation as it relatively simple and inexpensive to fabricate. Some additional advantages of devices include: large aggregate bandwidth, polarization separation signal from noise, angular deflection frequency control color. In order realize these advantages, necessary be able adequately characterize...

The development of a monitor based on guided-to-leaky-mode waveguide modulators is discussed. Recent changes in design are described including the use grating input couplers to reduce cost entire bill materials under one thousand dollars, collinear surface acoustic wave and optical geometry that improves efficiency output coupling, chassis redesign 3D printed laser cut more vibration resistant transportable. Future work briefly noted.

The ballistocardiogram (BCG), a measurement of cardiogenic whole body movements, is technique that enables non-invasive cardiovascular monitoring.A main challenge the BCG signal its morphology and amplitude are sensitive to posture subject during recording period.This work elucidates effects on bed-based recordings by (1) creating templates for standing signals obtained from subjects in prior study, (2) quantifying distance between these waveforms different postures bed new set subjects.The...

Abstract This research paper seeks to understand how introducing different engineering ideation methods participants during a problem-solving workshop impacts participant's productivity, creativity, and confidence in their ideas. Prior shows improvement creativity productivity over the course of class. The work this expands from that show impact specific introduced change processes short session. data for project will be collected two sessions. first was conducted 11 senior students various...

Captured with a chest-mounted sensor, the seismo- cardiogram (SCG) is useful signal for assessing cardiomechanical function. However, reliability of information obtained from this often depends upon sensor location. This has important practical implications, as consistent placement not guaranteed in at-home and other uncontrolled settings. Building on prior research that localized SCG when patient was at rest - which may be case settings work presents more robust method able to localize...

Pulse transit time (PTT) is a hemodynamic indicator that may be obtained non-invasively using photoplethysmogram (PPG) signals for continuous blood pressure (BP) monitoring. Among the most promising applications of this technology are military and civilian trauma cases, where reduced volume due to hemorrhage, or absolute hypovolemia, leading preventable cause death. However, drawback method it requires calibration each patient; additionally, changes in physiological state affect PTT...

We give a summary of the progress we have made in fabrication guided wave devices for use holographic video displays. This includes identifying anisotropic leaky-mode modulators as platform display, development characterization apparatus to extract key parameters from devices, and identification optimized waveguide frequency-controlled color display.