The best practical model for high-quality mass-CPR training with real-time feedback: QCPR Classroom

Resuscitation ◽  
2018 ◽  
Vol 130 ◽  
pp. e14
Author(s):  
Shota Tanaka ◽  
Kyoko Tsukigase ◽  
Takahiro Hara ◽  
Ryo Sagisaka ◽  
Helge Myklebust ◽  
...  
Keyword(s):  
Real Time ◽  
High Quality ◽  
Practical Model ◽  
Cpr Training

Abstract 2019: Untrained Volunteers Perform High Quality CPR When using an Automatic External Defibrillator with a CPR Voice Prompting Algorithm

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Benjamin S Abella ◽  
Salem Kim ◽  
Alexandra Colombus ◽  
Cheryl L Shea ◽  
Lance B Becker
Keyword(s):  
Real Time ◽  
Patient Outcomes ◽  
Chest Compression ◽  
Automatic External Defibrillator ◽  
Chest Compressions ◽  
High Quality ◽  
Cpr Training ◽  
Adult Volunteers ◽  
Improve Patient ◽  
External Defibrillator

Background: Recent investigations have demonstrated that CPR performance among trained providers can be improved by audiovisual prompting and real-time feedback, and higher quality CPR before defibrillation can improve shock success and has the potential to improve patient outcomes. Objective: We hypothesized that simplified voice prompts incorporated into an automatic external defibrillator (AED) can lead to improvements in CPR performance by untrained lay rescuers. Methods: Adult volunteers with no prior CPR training were assessed in their use of an AED with chest compression voice instructions and metronome prompts on a CPR-recording manikin. Volunteers were given minimal instructions regarding use of the device and were given no instructions regarding CPR performance. The AED was designed to prompt five cycles of 30 chest compressions between defibrillatory attempts. Chest compression rates and depths were measured via review of videotape and manikin recording data, respectively. Results: A total of 60 adults were assessed in their use of the AED, with a mean age of 33.6±12.8; 36/63 (57%) were female. Mean chest compression rate was 103±12 and mean depth was 37±14 mm. Furthermore, minimal decay in chest compression rates occurred over 5 cycles of chest compressions, with mean rate of 101±19 during the first cycle and 104±10 during the 5 th cycle. No volunteers were unable to use the AED or complete 5 cycles of chest compressions. Conclusions: Our work demonstrates that with appropriate real-time prompts delivered even in the absence of training or human coaching, laypersons can perform CPR that has a quality often similar to trained providers. This finding has important implications for AED design especially in light of the renewed importance of both CPR and the interaction of quality chest compressions and defibrillatory success.

The immediate effect of deliberate practice and real-time feedback on high-quality CPR training in intern doctors, acute care providers, and lay rescuers

2021 ◽  
Keyword(s):  
Real Time ◽  
Acute Care ◽  
Deliberate Practice ◽  
Acquisition Training ◽  
Skills Acquisition ◽  
Care Providers ◽  
High Quality ◽  
Training Outcomes ◽  
Cpr Training ◽  
The Impact

The quality of cardiopulmonary resuscitation (CPR) is the main determinant of survival in cardiac arrest, so high-quality CPR (HQ-CPR) from bystanders is essential. The best instructional model for HQ-CPR performed by bystanders remains under investigation, and an instructional model’s effect on various learner types is unknown. This study examined the immediate effect of a brief, blended instructional design that combines deliberate practice (DP) with real-time feedback (RTF) on the booster training of intern doctors (IDs) and acute care providers (ACPs) as well as on the skills acquisition training of lay rescuers (LRs). This cohort crossover study was conducted in a university-affiliated hospital in January 2020. Just-in-time training on HQ-CPR that featured a popular song was provided to IDs (n = 24), ACPs (n = 29), LRs (n = 25); groups performed one-minute cardiac compressions twice, without RTF and with verbal coaching, followed by debriefing, and then with only RTF. The impact of RTF on depth, rate, compression quality (CQ), and recoil was assessed. RTF significantly improved depth, rate, CQ, and recoil (p < 0.001). Among the LRs, the depth was 0.2 millimeters below the lower cutoff. Without RTF, the previously trained IDs and ACPs tended to perform inadequately faster and deeper compressions, while the untrained LRs performed slower, shallow compressions. DP combined with RTF yielded a significant immediate effect on the HQ-CPR training outcomes of all learner types.

scholarly journals Characterization of Infant Cardiopulmonary Resuscitation Delivery with Range Sensor Feedback on Performance

2021 ◽  
Vol 11 (21) ◽  
pp. 9813
Author(s):  
Farah M. Alkhafaji ◽  
Ghaidaa A. Khalid ◽  
Ali Al-Naji ◽  
Basheer M. Hussein ◽  
Javaan Chahl
Keyword(s):  
Cardiopulmonary Resuscitation ◽  
Real Time ◽  
Survival Rates ◽  
Feedback System ◽  
High Quality ◽  
Compression Technique ◽  
The Social ◽  
Cpr Training

Cardiac arrest (CA) in infants is an issue worldwide, which causes significant morbidity and mortality rates. Cardiopulmonary resuscitation (CPR) is a technique performed in case of CA to save victims' lives. However, CPR is often not performed effectively, even when delivered by qualified rescuers. Therefore, international guidelines have proposed applying a CPR feedback device to achieve high-quality application of CPR to enhance survival rates. Currently, no feedback device is available to guide learners through infant CPR performance in contrast to a number of adult CPR feedback devices. This study presents a real-time feedback system to improve infant CPR performance by medical staff and laypersons using a commercial CPR infant manikin. The proposed system uses an IR sensor to compare CPR performance obtained with no feedback and with a real-time feedback system. Performance was validated by analysis of the CPR parameters actually delivered against the recommended target parameters. Results show that the real-time feedback system significantly improves the quality of chest compression parameters. The two-thumb compression technique is the achievable and appropriate mechanism applied to infant subjects for delivering high-quality CPR. Under the social distancing constraints imposed by the SARS-CoV-2 pandemic, the results from the training device were sent to a CPR training center and provided each participant with CPR proficiency.

Sky Segmentation for Enhanced Depth Reconstruction and Bokeh Rendering with Efficient Architectures

2020 ◽  
Vol 2020 (14) ◽  
pp. 378-1-378-7
Author(s):  
Tyler Nuanes ◽  
Matt Elsey ◽  
Radek Grzeszczuk ◽  
John Paul Shen
Keyword(s):  
Real Time ◽  
Mobile Device ◽  
Computational Cost ◽  
False Positives ◽  
Compact Model ◽  
High Quality ◽  
False Negatives ◽  
Trade Off ◽  
Depth Reconstruction ◽  
Binary Classifiers

We present a high-quality sky segmentation model for depth refinement and investigate residual architecture performance to inform optimally shrinking the network. We describe a model that runs in near real-time on mobile device, present a new, highquality dataset, and detail a unique weighing to trade off false positives and false negatives in binary classifiers. We show how the optimizations improve bokeh rendering by correcting stereo depth misprediction in sky regions. We detail techniques used to preserve edges, reject false positives, and ensure generalization to the diversity of sky scenes. Finally, we present a compact model and compare performance of four popular residual architectures (ShuffleNet, MobileNetV2, Resnet-101, and Resnet-34-like) at constant computational cost.

scholarly journals Gauge invariant canonical symplectic algorithms for real-time lattice strong-field quantum electrodynamics

2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
Qiang Chen ◽  
Jianyuan Xiao ◽  
Peifeng Fan
Keyword(s):  
Field Theory ◽  
Real Time ◽  
Quantum Electrodynamics ◽  
Symplectic Form ◽  
Strong Field ◽  
Relativistic Quantum ◽  
High Order ◽  
High Quality ◽  
Geometric Structures ◽  
Gauge Invariant

Abstract A class of high-order canonical symplectic structure-preserving geometric algorithms are developed for high-quality simulations of the quantized Dirac-Maxwell theory based strong-field quantum electrodynamics (SFQED) and relativistic quantum plasmas (RQP) phenomena. With minimal coupling, the Lagrangian density of an interacting bispinor-gauge fields theory is constructed in a conjugate real fields form. The canonical symplectic form and canonical equations of this field theory are obtained by the general Hamilton’s principle on cotangent bundle. Based on discrete exterior calculus, the gauge field components are discreted to form a cochain complex, and the bispinor components are naturally discreted on a staggered dual lattice as combinations of differential forms. With pull-back and push-forward gauge covariant derivatives, the discrete action is gauge invariant. A well-defined discrete canonical Poisson bracket generates a semi-discrete lattice canonical field theory (LCFT), which admits the canonical symplectic form, unitary property, gauge symmetry and discrete Poincaré subgroup, which are good approximations of the original continuous geometric structures. The Hamiltonian splitting method, Cayley transformation and symmetric composition technique are introduced to construct a class of high-order numerical schemes for the semi-discrete LCFT. These schemes involve two degenerate fermion flavors and are locally unconditional stable, which also preserve the geometric structures. Admitting Nielsen-Ninomiya theorem, the continuous chiral symmetry is partially broken on the lattice. As an extension, a pair of discrete chiral operators are introduced to reconstruct the lattice chirality. Equipped with statistically quantization-equivalent ensemble models of the Dirac vacuum and non-trivial plasma backgrounds, the schemes are expected to have excellent performance in secular simulations of relativistic quantum effects, where the numerical errors of conserved quantities are well bounded by very small values without coherent accumulation. The algorithms are verified in detail by numerical energy spectra. Real-time LCFT simulations are successfully implemented for the nonlinear Schwinger mechanism induced e-e+ pairs creation and vacuum Kerr effect, where the nonlinear and non-perturbative features captured by the solutions provide a complete strong-field physical picture in a very wide range, which open a new door toward high-quality simulations in SFQED and RQP fields.

Low-Cost Measurement of Hydraulic Fracture Dimensions Using Pressure Data in Treatment and Observation Wells – A Workflow for Every Well

2021 ◽  
Author(s):  
A. Kirby Nicholson ◽  
Robert C. Bachman ◽  
R. Yvonne Scherz ◽  
Robert V. Hawkes
Keyword(s):  
Hydraulic Fracturing ◽  
Real Time ◽  
Hydraulic Fracture ◽  
Full Scale ◽  
Pressure Data ◽  
Observation Well ◽  
High Quality ◽  
Fracture Length ◽  
Geometry Model ◽  
Observation Wells

Abstract Pressure and stage volume are the least expensive and most readily available data for diagnostic analysis of hydraulic fracturing operations. Case history data from the Midland Basin is used to demonstrate how high-quality, time-synchronized pressure measurements at a treatment and an offsetting shut-in producing well can provide the necessary input to calculate fracture geometries at both wells and estimate perforation cluster efficiency at the treatment well. No special wellbore monitoring equipment is required. In summary, the methods outlined in this paper quantifies fracture geometries as compared to the more general observations of Daneshy (2020) and Haustveit et al. (2020). Pressures collected in Diagnostic Fracture Injection Tests (DFITs), select toe-stage full-scale fracture treatments, and offset observation wells are used to demonstrate a simple workflow. The pressure data combined with Volume to First Response (Vfr) at the observation well is used to create a geometry model of fracture length, width, and height estimates at the treatment well as illustrated in Figure 1. The producing fracture length of the observation well is also determined. Pressure Transient Analysis (PTA) techniques, a Perkins-Kern-Nordgren (PKN) fracture propagation model and offset well Fracture Driven Interaction (FDI) pressures are used to quantify hydraulic fracture dimensions. The PTA-derived Farfield Fracture Extension Pressure, FFEP, concept was introduced in Nicholson et al. (2019) and is summarized in Appendix B of this paper. FFEP replaces Instantaneous Shut-In Pressure, ISIP, for use in net pressure calculations. FFEP is determined and utilized in both DFITs and full-scale fracture inter-stage fall-off data. The use of the Primary Pressure Derivative (PPD) to accurately identify FFEP simplifies and speeds up the analysis, allowing for real time treatment decisions. This new technique is called Rapid-PTA. Additionally, the plotted shape and gradient of the observation-well pressure response can identify whether FDI's are hydraulic or poroelastic before a fracture stage is completed and may be used to change stage volume on the fly. Figure 1Fracture Geometry Model with FDI Pressure Matching Case studies are presented showing the full workflow required to generate the fracture geometry model. The component inputs for the model are presented including a toe-stage DFIT, inter-stage pressure fall-off, and the FDI pressure build-up. We discuss how to optimize these hydraulic fractures in hindsight (look-back) and what might have been done in real time during the completion operations given this workflow and field-ready advanced data-handling capability. Hydraulic fracturing operations can be optimized in real time using new Rapid-PTA techniques for high quality pressure data collected on treating and observation wells. This process opens the door for more advanced geometry modeling and for rapid design changes to save costs and improve well productivity and ultimate recovery.

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