Search Results (6)

Nosocomial infections remain an important issue for patient safety concerns. Since hospital infections are mainly connected with healthcare professionals’ routines, an increase in hand hygiene effectiveness through compliance with the “bare below the elbow” (BBE) concept could reduce the number of nosocomial infections. Therefore, this study aims to evaluate hand hygiene and to investigate healthcare professionals’ compliance with the BBE concept. We performed our study on a group of 7544 hospital professionals involved in patient care. During the national preventive action, questionnaires, demographic data, and hand hygiene preparations were recorded. Hand disinfection was verified by COUCOU BOX, containing a UV camera. We noted that 3932 (52.1%) persons complied with the BBE rules. Nurses and non-medical personnel were significantly more often classified as BBE rather than non-BBE (2025; 53.3% vs. 1776; 46.7%, respectively, p = 0.001 and 1220; 53.7% vs. 1057; 46.3%, p = 0.006). Different proportions were demonstrated for the groups of physicians—non-BBE (783; 53.3%) compared to BBE (687; 46.7%) (p = 0.041). Healthcare workers from the BBE group statistically more often disinfected their hands correctly (2875/3932; 73.1%) compared to the non-BBE group (2004/3612; 55.5%) (p < 0.0001). This study demonstrates the positive impact of compliance with the BBE concept on effective hand disinfection and patient safety. Therefore, education and infection-prevention actions should be popularized to improve the BBE policy’s effectiveness as well. Full article

Background: A cough is known to transmit an aerosol cloud up to 2 m. During the COVID-19 pandemic of 2020 the United Kingdom’s National Health Service (NHS), other UK government agencies and the World Health Organization (WHO) advised people to cough into their elbows. It was thought that this would reduce viral spread and protect the public. However, there is limited peer reviewed evidence to support this. Objectives: To determine if cough related interventions reduce environmental contamination, protecting members of the public from infection. Methods: Scientists and engineers at the Health and Safety Executive (HSE) laboratory used a human cough simulator that provided a standardised cough challenge using a solution of simulated saliva and a SARS-CoV-2 surrogate virus; Phi6. Pseudomonas syringae settle plates were used to detect viable Phi6 virus following a simulated cough into a 4 × 4 m test chamber. The unimpeded pattern of contamination was compared to that when a hand or elbow was placed over the mouth during the cough. High speed back-lit video was also taken to visualise the aerosol dispersion. Results and Discussion: Viable virus spread up to 2 m from the origin of the cough outwards in a cloud. Recommended interventions, such as putting a hand or elbow in front of the mouth changed the pattern of cough aerosol dispersion. A hand deflected the cough to the side, protecting those in front from exposure, however it did not prevent environmental contamination. It also allowed for viral transfer from the hand to surfaces such as door handles. A balled fist in front of the mouth did not deflect the cough. Putting an elbow in front of the mouth deflected the aerosol cloud to above and below the elbow, but would not have protected any individuals standing in front. However, if the person coughed into a sleeved elbow more of the aerosol seemed to be absorbed. Coughing into a bare elbow still allowed for transfer to the environment if people touched the inside of their elbow soon after coughing. Conclusions: Interventions can change the environmental contamination pattern resulting from a human cough but may not reduce it greatly. Full article

Hand hygiene is the most effective way to prevent nosocomial infections. Nevertheless, the hands of healthcare professionals are still the primary route of transmission of pathogens responsible for such infections. The aim of this study was to evaluate hand disinfection techniques and investigate the risk factors that may explain the improper hand disinfection techniques among healthcare workers. We selected 7544 hospital workers directly involved in patient care. We recorded data based on the questionnaires, demographic data, and the preparation of hands for disinfection, including risk factors. Correct hand disinfection was verified by COUCOU BOX, with a UV camera. Proper hand disinfection was demonstrated among 4879 (64.7%) subjects, while 2665 (35.3%) subjects disinfected their hands incorrectly. In most places of work, nurses properly disinfected their hands more often than the physicians, particularly in general departments (62.1% vs. 69.2%; p = 0.0019). We observed that long nails and artificial/polished nails were more often observed in the group of nurses than in the group of physicians (7.3% vs. 4.7%, respectively; p = 0.0006 and 19.3% vs. 10.1%; p = 0.0000), while an inverse relationship was found in relation to watches (24.0% vs. 12.0%; p = 0.0000) and long sleeves (24.4% vs. 8.1%; p = 0.0000). Incorrect and less effective hand hygiene among some groups of hospital workers is still present. Therefore, the continuation of education actions concerned with hand hygiene among healthcare workers is needed. Full article

Human Pose Estimation (HPE) is defined as the problem of human joints’ localization (also known as keypoints: elbows, wrists, etc.) in images or videos. It is also defined as the search for a specific pose in space of all articulated joints. HPE has recently received significant attention from the scientific community. The main reason behind this trend is that pose estimation is considered as a key step for many computer vision tasks. Although many approaches have reported promising results, this domain remains largely unsolved due to several challenges such as occlusions, small and barely visible joints, and variations in clothing and lighting. In the last few years, the power of deep neural networks has been demonstrated in a wide variety of computer vision problems and especially the HPE task. In this context, we present in this paper a Deep Full-Body-HPE (DFB-HPE) approach from RGB images only. Based on ConvNets, fifteen human joint positions are predicted and can be further exploited for a large range of applications such as gesture recognition, sports performance analysis, or human-robot interaction. To evaluate the proposed deep pose estimation model, we apply it to recognize the daily activities of a person in an unconstrained environment. Therefore, the extracted features, represented by deep estimated poses, are fed to an SVM classifier. To validate the proposed architecture, our approach is tested on two publicly available benchmarks for pose estimation and activity recognition, namely the J-HMDBand CAD-60datasets. The obtained results demonstrate the efficiency of the proposed method based on ConvNets and SVM and prove how deep pose estimation can improve the recognition accuracy. By means of comparison with state-of-the-art methods, we achieve the best HPE performance, as well as the best activity recognition precision on the CAD-60 dataset. Full article

In order to study the effects of the suction and discharge conditions on the hydraulic performance and unsteady flow phenomena of an axial-flow reactor coolant pump (RCP), three RCP models with different suction and discharge configurations are analyzed by computational fluid dynamics (CFD) method. The CFD results are validated by experimental data. The hydraulic performance of the three RCP models shows little difference. However, the unsteady flow phenomena of RCP are significantly affected by the variation of suction and discharge conditions. Compared with that of Model E-S (baseline, elbow-single nozzle), the pressure pulsation in rotating frame of Model S-S (straight pipe-single nozzle) and Model E-D (elbow-double nozzles) is weakened in different degrees and forms, due to the more uniform flow fields upstream and downstream of the impeller, respectively. It indicates that the generalized rotor-stator interaction (RSI) actually exists between the rotating impeller and all stationary components causing the circumferentially non-uniform flow. Furthermore, improving the circumferential uniformity of the flow upstream and downstream of impeller (suction and discharge flow) also contributes to reducing the radial dynamic fluid force acting on the impeller. Compared with those of Model E-S, the dynamic F_X and F_Y of Model S-S are severely weakened, and those of Model E-D also gain a minor amplitude decrease at f_BPF. In contrast, the general pressure pulsation in fixed frame is mainly related to the rotating impeller and barely affected by the suction and discharge conditions. Full article

The demand for flexible and wearable electronic devices with excellent stretchability and sensitivity is increasing, especially for human motion detection. In this work, a simple, low-cost and convenient strategy has been employed to fabricate flexible strain sensor with a composite of carbon black and silver nanoparticles as sensing materials and thermoplastic polyurethane as matrix. The strain sensors thus prepared possesses high stretchability and good sensitivity (gauge factor of 21.12 at 100% tensile strain), excellent static (almost constant resistance variation under 50% strain for 600 s) and dynamic (100 cycles) stability. Compared with bare carbon black-based strain sensor, carbon black/silver nanoparticles composite-based strain sensor shows ~18 times improvement in sensitivity at 100% strain. In addition, we discuss the sensing mechanisms using the disconnection mechanism and tunneling effect which results in high sensitivity of the strain sensor. Due to its good strain-sensing performance, the developed strain sensor is promising in detecting various degrees of human motions such as finger bending, wrist rotation and elbow flexion. Full article