Real-time FPGA-based implementation of the AKAZE algorithm with nonlinear scale space generation using image partitioning

The first step in a scale invariant image matching system is scale space generation. Nonlinear scale space generation algorithms such as AKAZE, reduce noise and distortion in different scales while retaining the borders and key-points of the image. An FPGA-based hardware architecture for AKAZE nonlinear scale space generation is proposed to speed up this algorithm for real-time applications. The three contributions of this work are (1) mapping the two passes of the AKAZE algorithm onto a hardware architecture that realizes parallel processing of multiple sections, (2) multi-scale line buffers which can be used for different scales, and (3) a time-sharing mechanism in the memory management unit to process multiple sections of the image in parallel. We propose a time-sharing mechanism for memory management to prevent artifacts as a result of separating the process of image partitioning. We also use approximations in the algorithm to make hardware implementation more efficient while maintaining the repeatability of the detection. A frame rate of 304 frames per second for a 1280 × 768 image resolution is achieved which is favorably faster in comparison with other work.

Monitoring System of Drowsiness and Lost Focused Driver Using Raspberry Pi

Background:

Drowsiness condition is one of the significant factors often encountered when an accident occurs. We aimed to detect a method to prevent accidents caused by drowsiness and lost a focused driver.

Methods:

The image processing technique has been capable of detecting the characteristic of drowsiness and lost focus driver in real-time using Raspberry Pi. Video samples were processed using the Haar Cascade Classifier method to identify areas of the face, eyes, and mouth so that drowsy conditions. The methods can be determined based on the bject detected.

Results:

Two parameters were determined, the lost focused and drowsiness driver. The highest accuracy value for driver lost focused detection was 88.00%, while the highest accuracy value for drowsiness driver detection was 90.40%.

Conclusion:

In general, a system developed with image processing methods has been able to monitor the drowsiness and lost focused drivers with high accuracy. This system still needs improvements to increase performance.

Strategies for enzymological studies and measurements of biological molecules with the cytolysin A nanopore

Pore-forming toxins are used in a variety of biotechnological applications. Typically, individual membrane proteins are reconstituted in artificial lipid bilayers where they form water-filled nanoscale apertures (nanopores). When a voltage is applied, the ionic current passing through a nanopore can be used for example to sequence biopolymers, identify molecules, or to study chemical or enzymatic reactions at the single-molecule level. Here we present strategies for studying individual enzymes and measuring molecules, also in highly complex biological samples such as blood.

Can news help measure economic sentiment? An application in COVID-19 times

We construct a new newspaper-based sentiment indicator for Spain that allows to monitor economic activity in real-time. As opposed to survey-based confidence indicators that are released at the end of the month, our indicator can be constructed on a daily basis. We compare our index with the popular Economic Sentiment Indicator of the European Commission and show that ours performs significantly better in nowcasting the Spanish GDP. Moreover, it proves to be helpful to predict the current COVID-19 recession from an earlier date.

A high-precision thermometry microfluidic chip for real-time monitoring of the physiological process of live tumour cells

Temperature changes in cells are generally accompanied by physiological processes. Cellular temperature measurements can provide important information to fully understand cellular mechanisms. However, temperature measurements with conventional methods, such as fluorescent polymeric thermometers and thermocouples, have limitations of low sensitivity or cell state disturbance. We developed a microfluidic chip integrating a high-precision platinum (Pt) thermo-sensor that can culture cells and monitor the cellular temperature in situ. During detection, a constant temperature system with a stability of 0.015 °C was applied. The temperature coefficient of resistance of the Pt thermo-sensor was 2090 ppm/°C, giving a temperature resolution of the sensor of less than 0.008 °C. This microchip showed a good linear correlation between the temperature and resistance of the Pt sensor at 20-40 °C (R² = 0.999). Lung and liver cancer cells on the microchip grew normally and continuously. The maximum temperature fluctuation of H1975 (0.924 °C) was larger than that of HepG2 (0.250 °C). However, the temperature of adherent HepG2 cells changed over time, showing susceptibility to the environment most of the time compared to H1975. Moreover, the temperature increment of non-cancerous cells, such as hepatic stellate cells, was monitored in response to the stimulus of paraformaldehyde, showing the process of cell death. Therefore, this thermometric microchip integrated with cell culture could be a non-disposable and label-free tool for monitoring cellular temperature applied to the study of physiology and pathology.

Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction

In human-machine interaction, robotic hands are useful in many scenarios. To operate robotic hands via gestures instead of handles will greatly improve the convenience and intuition of human-machine interaction. Here, we present a magnetic array assisted sliding triboelectric sensor for achieving a real-time gesture interaction between a human hand and robotic hand. With a finger's traction movement of flexion or extension, the sensor can induce positive/negative pulse signals. Through counting the pulses in unit time, the degree, speed, and direction of finger motion can be judged in real-time. The magnetic array plays an important role in generating the quantifiable pulses. The designed two parts of magnetic array can transform sliding motion into contact-separation and constrain the sliding pathway, respectively, thus improve the durability, low speed signal amplitude, and stability of the system. This direct quantization approach and optimization of wearable gesture sensor provide a new strategy for achieving a natural, intuitive, and real-time human-robotic interaction.

Real-time electronic patient evaluation of lymphedema symptoms, referral, and satisfaction: a cross-sectional study

BACKGROUND

Lymphedema is a progressive and chronic illness. Early detection and treatment often lead to better clinical outcomes and improvement of patients' quality of life. Lymphedema symptoms can assist in detecting lymphedema. However, the use of patient-reported symptom evaluation is still limited in clinical practice. To address this gap in clinical practice, a metropolitan cancer center implemented an electronic patient evaluation of lymphedema symptoms (EPE-LE) to enable patients' real-time symptom report during patients' routine clinical visit while waiting to see their doctors in a waiting room. The purpose of this clinical project was to evaluate the usefulness of EPE-LE during patients' routine clinical visit.

METHODS

A cross-sectional design was used. Participants were outpatient post-surgical breast cancer patients and clinicians who were involved in the EPE-LE implementation at a metropolitan cancer center of US. Data were collected during the three-month EPE-LE implementation, including patients' report of lymphedema symptoms, patient and clinician satisfaction, and referral to lymphedema specialists. Descriptive statistics were used for data analysis.

RESULTS

During the three-month implementation, a total of 334 patients utilized the EPE-LE to report their lymphedema symptoms and 24 referrals to lymphedema specialists. Nearly all of the patients found that the EPE-LE was easy to use (91%) and that they were satisfied with the EPE-LE for reporting lymphedema symptoms (89%). The majority (70%) of patients reported that the EPE-LE helped them to learn about symptoms related to lymphedema and encouraged them to monitor their symptoms. All clinicians (100%) agreed that the use of the EPE-LE improved their lymphedema symptom assessment in post-surgical breast cancer patients; 75% reported that the EPE-LE increased their communication with patients related to lymphedema symptoms, 75% agreed they would recommend the EPE-LE for use at other cancer centers, and 75% reported that the information retrieved from the EPE-LE was helpful in evaluation of lymphedema.

CONCLUSIONS

The use of EPE-LE enhanced patients' real-time report of lymphedema symptoms, improved patient education on lymphedema symptoms, and helped clinicians for evaluation of lymphedema. The use of EPE-LE is an example how to implement evidence-based research into clinical practice that provides benefits for both patients and clinicians.

A Real-Time, Bioluminescent Apoptosis Assay

This chapter describes a real-time, bioluminescent apoptosis assay technique, which circumvents the well-documented "timing condundrum" encountered when employing traditional apoptosis detection chemistries after exposures with inducers of unknown potential. The assay continuously reports the translocation of phosphatidylserine (PS) from the inner membrane leaflet of a cell to the exofacial surface during apoptosis. This homogenous, no-wash, plate-based assay is made possible by two different annexin V fusion proteins, which contain complementing NanoBiT™ luciferase enzyme subunits, a time-released luciferase substrate, and a fluorescent membrane integrity reagent. During apoptosis, luminescence signal is proportional to PS exposure and fluorescence intensity correlated with the degree of secondary necrosis. Altogether, the measures provide exquisite kinetic resolution of dose- and agent-dependent apoptotic responses, from early through late phases. At exposure termination, other compatible reagents can be applied to measure additional orthogonal correlates of cell health.

Proposed Design of a Real-Time COVID-19 Pandemic Contact Tracing Using Mobile Phone

As the virus that causes COVID-19 continues to spread from person to persons in communities and rampaging the world, the need for an effective real-time surveillance system becomes paramount. Advance contact tracing and detection of the persons with the virus represents one of the main strategies to prevent transmission. Although COVID-19 surveillance systems such as contact tracing mobile apps have improved the administration and management of virus, there are still challenges such as privacy, cost and ethical issues, the adoption of new technologies, standardized cases, and validly diagnosed case and validity. However, the current mobile apps contact tracing system adopted by different nations has complemented conventional tracing effort in fighting the virus. This proposal is a model for an interactive computer system using mobile phones and the internet for real-time collection and transmission of events related to COVID-19. It will aid the administration and presumptive management of COVID-19 in the world, especially in rural areas. This proposal shows that a sophisticated COVID-19 surveillance system can be build using mobile phones with the right telecommunication technology partner.

Feasibility of improving patient's safety with in vivo dose tracking in intracavitary and interstitial HDR brachytherapy

PURPOSE

The in vivo dosimetric monitoring in HDR brachytherapy is important for improving patient safety. However, there are very limited options available for clinical application. In this study, we present a new in vivo dose measurement system with a plastic scintillating detector (PSD) for GYN HDR brachytherapy.

METHODS

An FDA approved PSD system, called OARtrac (AngioDynamics, Latham, NY), was used with various applicators for in vivo dose measurements for GYN patients. An institutional workflow was established for the clinical implementation of the dosimetric system. Action levels were proposed based on the measurement and system uncertainty for measurement deviations. From October 2018 to September 2019, a total of 75 measurements (48 fractions) were acquired from 14 patients who underwent HDR brachytherapy using either a multichannel cylinder, Venezia applicator, or Syed-Neblett template. The PSDs were placed in predetermined catheters/channels. A planning CT was acquired for treatment planning in Oncentra (Elekta, Version-4.5.2) TPS. The PSDs were contoured on the CT images, and the PSD D_90% values were used as the expected doses for comparison with the measured doses.

RESULTS

The mean difference from patient measurements was -0.22% ± 5.98%, with 26% being the largest deviation from the expected value (Syed case). Large deviations were observed when detectors were placed in the area where dose rates were less than 1 cGy/s.

CONCLUSIONS

The establishment of clinical workflow for the in vivo dosimetry for both the intracavitary and interstitial GYN HDR brachytherapy will potentially improve the safety of the patient treatment.

SIMPLE 3.0. Stream single-particle cryo-EM analysis in real time

We here introduce the third major release of the SIMPLE (Single-particle IMage Processing Linux Engine) open-source software package for analysis of cryogenic transmission electron microscopy (cryo-EM) movies of single-particles (Single-Particle Analysis, SPA). Development of SIMPLE 3.0 has been focused on real-time data processing using minimal CPU computing resources to allow easy and cost-efficient scaling of processing as data rates escalate. Our stream SPA tool implements the steps of anisotropic motion correction and CTF estimation, rapid template-based particle identification and 2D clustering with automatic class rejection. SIMPLE 3.0 additionally features an easy-to-use web-based graphical user interface (GUI) that can be run on any device (workstation, laptop, tablet or phone) and supports a remote multi-user environment over the network. The new project-based execution model automatically records the executed workflow and represents it as a flow diagram in the GUI. This facilitates meta-data handling and greatly simplifies usage. Using SIMPLE 3.0, it is possible to automatically obtain a clean SP data set amenable to high-resolution 3D reconstruction directly upon completion of the data acquisition, without the need for extensive image processing post collection. Only minimal standard CPU computing resources are required to keep up with a rate of ∼300 Gatan K3 direct electron detector movies per hour. SIMPLE 3.0 is available for download from simplecryoem.com.

Real-time fluorometric monitoring of monophenolase activity using a matrix-matched calibration curve

Tyrosinase is the key enzyme for the metabolism of tyrosine and inherently comprises both monophenolase activity and diphenolase activity. A real-time fluorometric assay method was established to exclusively monitor the monophenolase activity by eliminating interference from diphenolase reactions through a combination of borate and hydroxylamine. Synthetic matrices comprised of tyrosine and DOPA (L-3,4-dihydroxyphenylalanine) preincubated with tyrosinase with the consistent sum concentration of 70 μM to mimic the monophenolase reaction mixture in borate buffer according to law of mass conservation. A matrix-matched calibration curve for determination of tyrosine was established using the synthetic matrices as standard sample to eliminate spectral interference from DOPA. The limit of detection (LOD) for tyrosine was 0.61 μM. The time course for consumption of tyrosine was established to measure the initial velocity through real-time reading out the tyrosine fluorescence intensity of the reaction mixture in a cuvette in situ. The assay worked in the monophenolase activity range from 0.2839 to 1.7308 U mL^-1 with LOD of 0.0851 U mL^-1. The proposal sensing system successfully afforded a prospective potential for application in enzyme kinetics and screening of inhibitor. Graphical abstract.

Plant cell wall hydrolysis process reveals structure-activity relationships

BACKGROUND

Recent interest in Populus as a source of renewable energy, combined with its numerous available pretreatment methods, has enabled further research on structural modification and hydrolysis. To improve the biodegradation efficiency of biomass, a better understanding of the relationship between its macroscopic structures and enzymatic process is important.

RESULTS

This study investigated mutant cell wall structures compared with wild type on a molecular level. Furthermore, a novel insight into the structural dynamics occurring on mutant biomass was assessed in situ and in real time by functional Atomic Force Microscopy (AFM) imaging. High-resolution AFM images confirmed that genetic pretreatment effectively inhibited the production of irregular lignin. The average roughness values of the wild type are 78, 60, and 30 nm which are much higher than that of the mutant cell wall, approximately 10 nm. It is shown that the action of endoglucanases would expose pure crystalline cellulose with more cracks for easier hydrolysis by cellobiohydrolase I (CBHI). Throughout the entire CBHI hydrolytic process, when the average roughness exceeded 3 nm, the hydrolysis mode consisted of a peeling action.

CONCLUSION

Functional AFM imaging is helpful for biomass structural characterization. In addition, the visualization of the enzymatic hydrolysis process will be useful to explore the cell wall structure-activity relationships.

Real-time quintic Hermite interpolation for robot trajectory execution

This paper presents a real-time joint trajectory interpolation system for the purpose of frequency scaling the low cycle time of a robot controller, allowing a Python application to real-time control the robot at a moderate cycle time. Interpolation is based on quintic Hermite piece-wise splines. The splines are calculated in real-time, in a piecewise manner between the high-level, long cycle time trajectory points, while sampling of these splines at an appropriate, shorter cycle time for the real-time requirement of the lower-level system. The principle is usable in general, and the specific implementation presented is for control of the Panda robot from Franka Emika. Tracking delay analysis is presented based on a cosine trajectory. A simple test application has been implemented, demonstrating real-time feeding of a pre-calculated trajectory for cutting with a knife. Estimated forces on the robot wrist are recorded during cutting and presented in the paper.

Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory

BACKGROUND

Transdermal biosensors offer a noninvasive, low-cost technology for the assessment of alcohol consumption with broad potential applications in addiction science. Older-generation transdermal devices feature bulky designs and sparse sampling intervals, limiting potential applications for transdermal technology. Recently a new-generation of transdermal device has become available, featuring smartphone connectivity, compact designs, and rapid sampling. Here we present initial laboratory research examining the validity of a new-generation transdermal sensor prototype.

METHODS

Participants were young drinkers administered alcohol (target BAC = .08 %) or no-alcohol in the laboratory. Participants wore transdermal sensors while providing repeated breathalyzer (BrAC) readings. We assessed the association between BrAC (measured BrAC for a specific time point) and eBrAC (BrAC estimated based only on transdermal readings collected in the immediately preceding time interval). Extra-Trees machine learning algorithms, incorporating transdermal time series features as predictors, were used to create eBrAC.

RESULTS

Failure rates for the new-generation prototype sensor were high (16 %-34 %). Among participants with useable new-generation sensor data, models demonstrated strong capabilities for separating drinking from non-drinking episodes, and significant (moderate) ability to differentiate BrAC levels within intoxicated participants. Differences between eBrAC and BrAC were 60 % higher for models based on data from old-generation vs new-generation devices. Model comparisons indicated that both time series analysis and machine learning contributed significantly to final model accuracy.

CONCLUSIONS

Results provide favorable preliminary evidence for the accuracy of real-time BAC estimates from a new-generation sensor. Future research featuring variable alcohol doses and real-world contexts will be required to further validate these devices.

Real-Time Acoustic Voice Analysis Using a Handheld Device Running Android Operating System

OBJECTIVES

We developed a highly accessible acoustic voice analysis system (VArt) using a handheld device running Android operating system. To provide stable and reliable analysis using readily obtainable equipment under unfavorable conditions, we modified the fundamental frequency (F0) extraction algorithm and designed an intuitive user interface representing a new hoarseness index (real-time Ra: Rart), which is a derivative of harmonics-to-noise ratio developed by Kojima and Shoji (Ra2). Since Rart continues to display analysis results in real time, unlike conventional acoustic analysis, it can be used for evaluation such as during phonosurgery and speech therapy. We evaluated the agreement between the earlier version of acoustic voice analysis software (VA) running on a Windows personal computer and VArt running on a handheld device.

METHODS

F0, Ra2, and Rart were measured in voice samples of sustained vowel phonation /a/ from 10 healthy volunteers and 22 patients with voice disorders using VA running on a Windows personal computer and VArt running on two types of handheld devices in a sound-treated room or in a medical examination room. Intraclass correlation coefficients were calculated for both systems under both conditions.

RESULTS

All of the comparisons were highly correlated.

CONCLUSIONS

Measurements obtained using our newly developed VArt were highly consistent with those using VA, indicating high reliability. Moreover, the new system increases the clinical feasibility of acoustic voice analysis.

Dynamic compressed sensing for real-time tomographic reconstruction

Electron tomography has achieved higher resolution and quality at reduced doses with recent advances in compressed sensing. Compressed sensing (CS) exploits the inherent sparse signal structure to efficiently reconstruct three-dimensional (3D) volumes at the nanoscale from undersampled measurements. However, the process bottlenecks 3D reconstruction with computation times that run from hours to days. Here we demonstrate a framework for dynamic compressed sensing that produces a 3D specimen structure that updates in real-time as new specimen projections are collected. Researchers can begin interpreting 3D specimens as data is collected to facilitate high-throughput and interactive analysis. Using scanning transmission electron microscopy (STEM), we show that dynamic compressed sensing accelerates the convergence speed by ~3-fold while also reducing its error by 27% for a Au/SrTiO₃ nanoparticle specimen. Before a tomography experiment is completed, the 3D tomogram has interpretable structure within ~33% of completion and fine details are visible as early as ~66%. Upon completion of an experiment, a high-fidelity 3D visualization is produced without further delay. Additionally, reconstruction parameters that tune data fidelity can be manipulated throughout the computation without re-running the entire process.

A digital mapping application for quantifying and displaying air temperatures at high spatiotemporal resolutions in near real-time across Australia

Surface air temperature (T_a) required for real-time environmental modelling applications should be spatially quantified to capture the nuances of local-scale climates. This study created near real-time air temperature maps at a high spatial resolution across Australia. This mapping is achieved using the thin plate spline interpolation in concert with a digital elevation model and ‘live’ recordings garnered from 534 telemetered Australian Bureau of Meteorology automatic weather station (AWS) sites. The interpolation was assessed using cross-validation analysis in a 1-year period using 30-min interval observation. This was then applied to a fully automated mapping system—based in the R programming language—to produce near real-time maps at sub-hourly intervals. The cross-validation analysis revealed broad similarities across the seasons with mean-absolute error ranging from 1.2 °C (autumn and summer) to 1.3 °C (winter and spring), and corresponding root-mean-square error in the range 1.6 °C to 1.7 °C. The R² and concordance correlation coefficient (P_c ) values were also above 0.8 in each season indicating predictions were strongly correlated to the validation data. On an hourly basis, errors tended to be highest during the late afternoons in spring and summer from 3 pm to 6 pm, particularly for the coastal areas of Western Australia. The mapping system was trialled over a 21-day period from 1 June 2020 to 21 June 2020 with majority of maps completed within 28-min of AWS site observations being recorded. All outputs were displayed in a web mapping application to exemplify a real-time application of the outputs. This study found that the methods employed would be highly suited for similar applications requiring real-time processing and delivery of climate data at high spatiotemporal resolutions across a considerably large land mass.

Real-time nanoleakage and the flow characteristics of calcium silicate root canal filling materials

This study aimed to investigate the real-time nanoleakage and flow characteristics of calcium silicate-based (Ca-Si) root canal filling materials. Extracted human teeth (n = 30) were decoronated and standardized in their inner and outer dimensions. After root canal enlargement, the roots were filled with gutta-percha (GP) and AH26 sealer, GP and EndoSeal MTA sealer, or Biodentine. The roots were connected to a Nanoflow device (IB Systems) under hydrostatic pressure (40 cm∙H₂O) and fluid flow was traced through the filled roots. Data were detected at the nanoscale twice per second and automatically recorded in units of nL/s. Leakage was quantified as the mean slope until the curve plateaued over time, and all static flow intervals lasting longer than 1 s were analyzed to identify any increase in flow and duration. Data were statistically analyzed using the Kruskal-Wallis test. The calculated leakage values were 0.0670 ± 0.0516 nL/s for GP/AH26, 0.1397 ± 0.1579 nL/s for GP/EndoSeal MTA, and 0.0358 ± 0.0538 nL/s for Biodentine, with no statistically significant differences among the root filling materials (P > 0.05). An analysis of real-time flow data for 1000 s to identify spot trends and the overall tendency of flow until a plateau was reached revealed a stepwise increase in the roots filled with Ca-Si material, whereas the GP/AH26-filled roots showed a linear increase. Real-time measurements under hydrostatic pressure with the Nanoflow device enabled precise fluid flow tracing through the root canal filling material. In terms of nanoleakage, the tested root canal filling materials showed no significant differences, while the real-time flow patterns of roots filled with Ca-Si material showed different characteristics from those of GP/AH26-filled roots.

An optimized multicopter UAV sounding technique (MUST) for probing comprehensive atmospheric variables

The unique maneuverability, ease of deployment, simplicity in logistics, and relatively low costs of multicopters render them effective vehicles for low atmospheric research. While many efforts have contributed to the fundamental success of atmospheric applications of multicopters in the past, several challenges remain, including limited measurable variables, possible response-delay in real-time observations, insufficient measurement accuracy, endurance of harsh conditions and tolerance towards interferences. To address these challenges and further fortify the applicability in diversified research disciplines, this study developed an optimized multicopter UAV sounding technique (MUST). The MUST serves as an integrated platform by combining self-developed algorithms, optimized working environments for sensors/monitors, and retrofitted sampling devices to probe a comprehensive set of atmospheric variables. These variables of interest include meteorological parameters (temperature, relative humidity, pressure, wind direction and speed), the chemical composition (speciated VOCs, CO, CO₂, CH₄, CO₂ isotopologues, O₃, PM2.5, and black carbon), and the radiation flux, as well as visible and thermal images. The aim of this study is to achieve the following objectives: 1. to easily probe a comprehensive set of near-surface atmospheric variables; 2. to improve data quality by correcting for sensors' delay in real-time observations and minimizing environmental interferences; and 3. to enhance the versatility and applicability of aerial measurements by incorporating necessary hardware and software. Field launching cases from the surface to a maximum height of 1000 m were conducted to validate the robustness of the integrated MUST platform with sufficient speed, accuracy and resolution for the target variables.

Role of real-time colour-flow Doppler in perforator free flap head and neck reconstruction

We discuss the use of real-time colour-flow Doppler ultrasound to optimally evaluate the vascular anatomy of patients receiving free perforator flap head and neck reconstruction. We explore the advantages of the technique and its role as a valuable adjunct for the planning and harvesting of perforator flaps.

Application of recombinase polymerase amplification method for rapid detection of infectious laryngotracheitis virus

Infectious laryngotracheitis is a significant respiratory disease of chickens that causes huge economic losses due to high morbidity and mortality and reduced egg production. A real-time recombinase polymerase amplification (RPA) assay was developed to accurately detect ILTV. The specific probe and primer sets were carefully designed and screened. The real-time RPA assay was carried out at 39 °C for 30 min, and results were obtained within 15 min. The results of the specificity assay showed no fluorescence signals with other avian-related viruses. The sensitivity of the assay was 1 × 10² copies/μL. The low CV value showed that the assay was reproducible. A total of 115 clinical samples were tested using the real-time RPA assay and the real-time PCR assay in parallel; the coincidence rates of the two detection methods were 100%. The results indicated that the real-time RPA assay is a specific, sensitive, rapid, and useful tool for epidemiological studies and clinical diagnosis, especially in the field and in resource-poor areas.

Effects of real-time feedback on cardiopulmonary resuscitation quality on outcomes in adult patients with cardiac arrest: A systematic review and meta-analysis

AIM

To investigate the relationship between the implementation of real-time audiovisual cardiopulmonary resuscitation (CPR) feedback devices with cardiac arrest patient outcomes, such as return of spontaneous circulation (ROSC), short-term survival, and neurological outcome.

METHODS

We systematically searched PubMed, Embase, and the Cochrane CENTRAL from inception date until April 30, 2020, for eligible randomized and nonrandomized studies. Pooled odds ratio (OR) for each binary outcome was calculated using R system. The primary patient outcome was ROSC. The secondary outcomes were short-term survival and favorable neurological outcomes (cerebral performance category scores: 1 or 2).

RESULTS

We identified 11 studies (8 nonrandomized and 3 randomized studies) including 4851 patients. Seven studies documented patients with out-of-hospital cardiac arrest and four studies documented patients with in-hospital cardiac arrest. The pooled results did not confirm the effectiveness of CPR feedback device, possibly because of the high heterogeneity in ROSC (OR: 1.42, 95% CI: 1.03-1.94, I²: 80%, tau²: 0.1875, heterogeneity test p <  0.01) and survival-to-discharge (OR: 1.27, 95% CI: 0.74-2.18, I²: 86%, tau²: 0.4048, heterogeneity test p <  0.01). The subgroup analysis results revealed that heterogeneity was due to the types of devices used. Patient outcomes were more favorable in studies investigating portable devices than in studies investigating automated external defibrillator (AED)-associated devices.

CONCLUSIONS

Whether real-time CPR feedback devices can improve patient outcomes (ROSC and short-term survival) depend on the type of device used. Portable devices led to better outcomes than did AED-associated devices. Future studies comparing different types of devices are required to reach robust conclusion.

PROTOCOL REGISTRATION

Prospero registration ID CRD42020155388.

Interstitial glucose and subsequent affective and physical feeling states: A pilot study combining continuous glucose monitoring and ecological momentary assessment in adolescents

OBJECTIVE

Circulating glucose may relate to affective and physical feeling states reflective of emotional disorder symptoms. No prior studies have investigated within-day associations between glucose and subsequent affective and physical feeling states (positive affect, negative affect, and fatigue) as they occur naturally among healthy adolescents; this pilot study assessed these associations by combining data collected from ecological momentary assessment (EMA) and continuous glucose monitors (CGM).

METHODS

Participants (N = 15, mean age = 13.1[±1.0] years, 66.7% female, 40.0% Hispanic, 66.7% healthy weight) wore a CGM for 7-14 days. Simultaneously, participants reported on their current positive affect, negative affect, and fatigue randomly during specified windows up to 7 times daily via EMA. CGM-measured mean interstitial glucose was calculated during the time windows (mean minutes = 122.5[±47.3]) leading up to each EMA prompt. Multilevel models assessed within-subject (WS) associations between mean interstitial glucose since the previous EMA prompt and EMA-reported affective and physical feeling states at the current prompt.

RESULTS

Participants provided 532 interstitial glucose-matched EMA reports of affective and physical feeling states. During intervals when interstitial glucose was higher than one's usual, higher positive affect (WS β = 0.01, p < .0001, f² = 0.02) and lower fatigue (WS β = -0.01, p < .0001, f² = 0.09) were subsequently reported. Interstitial glucose was unrelated to negative affect (WS β = -0.002, p = .10, f² = 0.01). Associations were weakened, but remained significant following further adjustment for time of day.

CONCLUSIONS

Though effect sizes were small, within-person variations in interstitial glucose may relate to subsequent affective and physical feeling states among healthy youth. Investigations using similar methodologies in larger, more diverse samples are warranted.

A large buoy-based radioactivity monitoring system for gamma-ray emitters in surface seawater

A buoy (shallow water light type) -based in situ gamma-ray spectrometry system with a 7.6 cmØ × 7.6 cm NaI(Tl) detector for remote real-time monitoring of gamma-ray emitting radionuclides in surface seawater is presented. To convert measured count rates to radioactivity, the full energy peak efficiency of the detector for radionuclides in seawater was estimated using Monte Carlo simulation with the MCNP code. The efficiency calibration was validated by comparing the results with a sampling analysis of ⁴⁰K in seawater at the sites where the monitoring systems were deployed. The minimum detectable activity of the system for ¹³⁷Cs, ¹³⁴Cs and ¹³¹I with gamma-ray measurement time is discussed.