FM-FCN: A Neural Network with Filtering Modules for Accurate Vital Signs Extraction.

Neural networks excel at capturing local spatial patterns through convolutional modules, but they may struggle to identify and effectively utilize the morphological and amplitude periodic nature of physiological signals. In this work, we propose a novel network named filtering module fully convolutional network (FM-FCN), which fuses traditional filtering techniques with neural networks to amplify physiological signals and suppress noise. First, instead of using a fully connected layer, we use an FCN to preserve the time-dimensional correlation information of physiological signals, enabling multiple cycles of signals in the network and providing a basis for signal processing. Second, we introduce the FM as a network module that adapts to eliminate unwanted interference, leveraging the structure of the filter. This approach builds a bridge between deep learning and signal processing methodologies. Finally, we evaluate the performance of FM-FCN using remote photoplethysmography. Experimental results demonstrate that FM-FCN outperforms the second-ranked method in terms of both blood volume pulse (BVP) signal and heart rate (HR) accuracy. It substantially improves the quality of BVP waveform reconstruction, with a decrease of 20.23% in mean absolute error (MAE) and an increase of 79.95% in signal-to-noise ratio (SNR). Regarding HR estimation accuracy, FM-FCN achieves a decrease of 35.85% in MAE, 29.65% in error standard deviation, and 32.88% decrease in 95% limits of agreement width, meeting clinical standards for HR accuracy requirements. The results highlight its potential in improving the accuracy and reliability of vital sign measurement through high-quality BVP signal extraction. The codes and datasets are available online at https://github.com/zhaoqi106/FM-FCN.

MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis.

Cardiovascular disease management often involves adjusting medication dosage based on changes in electrocardiogram (ECG) signals' waveform and rhythm. However, the diagnostic utility of ECG signals is often hindered by various types of noise interference. In this work, we propose a novel filter based on a multi-engine evolution framework named MEAs-Filter to address this issue. Our approach eliminates the need for predefined dimensions and allows adaptation to diverse ECG morphologies. By leveraging state-of-the-art optimization algorithms as evolution engine and incorporating prior information inputs from classical filters, MEAs-Filter achieves superior performance while minimizing order. We evaluate the effectiveness of MEAs-Filter on a real ECG database and compare it against commonly used filters such as the Butterworth, Chebyshev filters, and evolution algorithm-based (EA-based) filters. The experimental results indicate that MEAs-Filter outperforms other filters by achieving a reduction of approximately 30% to 60% in terms of the loss function compared to the other algorithms. In denoising experiments conducted on ECG waveforms across various scenarios, MEAs-Filter demonstrates an improvement of approximately 20% in signal-to-noise (SNR) ratio and a 9% improvement in correlation. Moreover, it does not exhibit higher losses of the R-wave compared to other filters. These findings highlight the potential of MEAs-Filter as a valuable tool for high-fidelity extraction of ECG signals, enabling accurate diagnosis in the field of cardiovascular diseases.

Evaluation of dressings preventing facial medical device-related pressure injury in medical staff during the COVID-19 pandemic: A systematic review and network meta-analysis.

AIM: This study systematically compared the efficacy of various dressings that may prevent facial medical device-related pressure injury (MRDPI) in medical staff during the COVID-19 pandemic. BACKGROUND: During the COVID-19 pandemic, medical staff who are required to wear masks, goggles and other personal protective equipment (PPE) are susceptible to facial MRDPI, which exacerbates working conditions. Dressings can effectively prevent or alleviate MRDPI, but it is unclear which dressings are most effective. DESIGN: A systematic review and network meta-analysis, in accordance with PRISMA. METHODS: A comprehensive literature search was conducted in four English and four Chinese databases to identify relevant studies published up to 8 September 2022. The selected studies were randomised controlled trials, with populations comprising medical staff who wore PPE during the COVID-19 pandemic and included an observation and control group. RESULTS: The network meta-analysis of the 12 selected articles showed that foam dressing, hydrocolloid dressing and petrolatum gauze were better than conventional protection for preventing MRDPI. The surface under the cumulative ranking curve indicated that foam dressing was the best preventative. CONCLUSION: Foam dressing is more effective than other dressings in preventing facial MRDPI in medical staff. When PPE must be worn for many hours, such as during the COVID-19 pandemic, medical staff can use foam dressings to prevent MRDPI. RELEVANCE TO CLINICAL PRACTICE: The results support the use of dressings, especially foam dressings, to prevent MRDPI in healthcare workers. The appropriate dressings are recommended to prevent MRDPI associated with wearing PPE.

Influencing factors of medical device-related pressure ulcers in medical personnel during the COVID-19 pandemic: A systematic review and meta-analysis.

OBJECTIVE: To determine the influencing factors of medical device related pressure injury (MDRPU) in medical staff by meta-analysis. METHODS: A comprehensive literature search was conducted by PubMed, Embase, Cochrane Library, Web of Science, CNKI, VIP, CBM, and WanFang Data (from inception to July 27, 2022). Two researchers independently performed literature screening, quality evaluation and data extraction, and meta-analysis was conducted with RevMan 5.4 and Stata12.0 software. RESULTS: Total of 11215 medical staff were included in 9 articles. Meta analysis showed that gender, occupation, sweating, wearing time, single working time, department of COVID-19, preventive measures, and level 3 PPE were the risk factors for MDRPU in medical staff (P < 0.05). CONCLUSION: The outbreak of COVID-19 led to the occurrence of MDRPU among medical staff, and the influencing factors should be focused on. The medical administrator can further improve and standardize the preventive measures of MDRPU according to the influencing factors. Medical staff should accurately identify high-risk factors in the clinical work process, implement intervention measures, and reduce the incidence of MDRPU.

Incidence of facial pressure injuries in health-care professionals during the COVID-19 pandemic: A systematic review and meta-analysis.

AIM: To evaluate the incidence of facial pressure injuries in health-care professionals during the COVID-19 pandemic in a meta-analysis. METHODS: Related studies were obtained through electronic databases, including PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI) Chinese Scientific Journal (VIP) China Biomedical Literature service systems (CBM) and Wanfang Data (from inception to 27 November 2021). The pooled incidence and the 95% confidence interval of facial pressure injuries were calculated with Review Manager v5.4 software. RESULTS: Overall, 16 studies with 14 430 health-care professionals were included. Pooled results showed that the pooled incidence of facial pressure injury in health-care professionals was 58.8% (95% CI: 49.0%-68.7%; p < 0.01). The results of the subgroup analysis showed that the incidence of facial pressure injury in these staff was high, and predominantly stage I pressure injury, in the following cases: in health-care professionals who wore personal protective equipment for longer than 4 h, in those without any training experience, and on the nose. CONCLUSION: Administrators and researchers should pay attention to preventing facial pressure injury related to the wearing of personal protective equipment (PPE) by ensuring all health-care professionals receive training and by limiting prolonged periods of use.

The effect of abdominal massage on enteral nutrition tolerance in patients on mechanical ventilation: A Randomized Controlled Study.

OBJECTIVE: To assess whether abdominal massage impacts enteral feeding tolerance in mechanically ventilated patients. METHODS: Patients were randomized to receive standard or intervention care (standard care plus a 15-minute abdominal massage twice daily) for three days. We recorded the vomiting, reflux, gastric retention, aspiration, diarrhea, abdominal distension, gastric residual volume and abdominal circumference from days one to three. A P-value of less than 0.05 was statistically significant. RESULTS: Seventy-four patients (37 per group) were recruited (intervention vs control: age 58.03 ± 10.44 vs 55.33 ± 12.45 years; %M: 69.70 % vs 69.70 %). The aspiration, gastric retention and abdominal distension incidence in the intervention group was 3.03 %, 6.06 % and 9.09 %, whereas in the control group it was 24.24 %, 30.30 % and 27.27 % (P <.05). The vomiting, reflux and diarrhea incidence for patients in the intervention group were all 3.03 %, whereas in the control group they were 3.03 %, 9.09 % and 9.09 % (P >.05). From day 1 to day 3, the gastric residual volume decreased from 87.23 ± 3.29 mL to 72.59 ± 5.40 mL in the intervention group and increased from 91.94 ± 3.45 mL to 105.00 ± 6.94 mL in the control group. Similarly, the abdominal circumference decreased from 84.41 ± 1.73 cm to 82.44 ± 1.73 cm in the intervention group and increased from 87.90 ± 1.60 cm to 88.90 ± 1.75 cm in the control group. The differences in time, group, and interaction effects between the two groups were statistically significant for abdominal circumference and gastric residual volume (P <.05). CONCLUSIONS: Abdominal massage can effectively reduce gastric retention, abdominal distension, aspiration, gastric residual volume and abdominal circumference in mechanically ventilated patients, but not the incidence of vomiting, reflux and diarrhea.

Evaluation of evidence of prevention and management of facial pressure injuries in medical staff.

AIM: This systematic review evaluated the quality of evidence for the prevention and management of facial pressure injuries in medical staff. DESIGN: This review was presented in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. METHODS: We retrieved the relevant studies from 19 databases. Using the literature evaluation standards and evidence grading system of the Australian Joanna Briggs Institute Evidence-Based Health Care Center, we evaluated the quality of the literature encompassing different types of research and assessed their levels of evidence. RESULTS: A total of 13 studies were included, including seven expert consensuses, two recommended practices, one clinical decision, one best practice information booklet, one systematic review and one randomized controlled trial. In the end, 31 best evidence were summarized, including skin cleaning and care, PPE placement and movement, reasonable use of dressings, treatment measures and education and training.

Epidermal Inorganic Optoelectronics for Blood Oxygen Measurement.

Flexible and stretchable optoelectronics, built-in inorganic semiconductor materials, offer a wide range of unprecedented opportunities and will redefine the conventional rigid optoelectronics in biological application and medical measurement. However, a significant bottleneck lies in the brittleness nature of rigid semiconductor materials and the performance's extreme sensitivity to the light intensity variation due to human skin deformation while measuring physical parameters. In this study, the authors demonstrate a systematic strategy to design an epidermal inorganic optoelectronic device by using specific strain-isolation design, nanodiamond thinning, and hybrid transfer printing. The authors propose all-in-one suspension structure to achieve the stretchability and conformability for surrounding environment, and they propose a two-step transfer printing method for hybrid integrating III-V group emitting elements, Si-based photodetector, and interconnects. Owing to the excellent flexibility and stretchability, such device is totally conformal to skin and keeps the constant light transmission between emitting element and photodetector as well as the signal stability due to skin deformation. This method opens a route for traditional inorganic optoelectronics to achieve flexibility and stretchability and improve the performance of optoelectronics for biomedical application.

Buckling-Based Method for Measuring the Strain-Photonic Coupling Effect of GaAs Nanoribbons.

The ability to continuously and reversibly tune the band gap and the strain-photonic coupling effect in optoelectronic materials is highly desirable for fundamentally understanding the mechanism of strain engineering and its applications in semiconductors. However, optoelectronic materials (i.e., GaAs) with their natural brittleness cannot be subject to direct mechanical loading processes, such as tension or compression. Here, we report a strategy to induce continuous strain distribution in GaAs nanoribbons by applying structural buckling. Wavy GaAs nanoribbons are fabricated by transfer printing onto a prestrained soft substrate, and then the corresponding photoluminescence is measured to investigate the strain-photonic coupling effect. Theoretical analysis shows the evolution of the band gap due to strain and it is consistent with the experiments. The results demonstrate the potential application of a buckling configuration to delicately measure and tune the band gap and optoelectronic performance.

Measurements for displacement and deformation at high temperature by using edge detection of digital image.

In this work, we propose a structural deformation measuring method based on structural feature processing (straight line/edge detection) of the recorded digital images for specimens subjected to a high-temperature environment. Both radiation light and oxidation at high temperatures challenge the optics-based measurements. The images of a rectangular piece of copper specimen are obtained by using a bandpass filtering method at high temperatures, then all the edges are detected by using an edge detection operator, and then a Hough transform is conducted to search the straight edges for the calculation of deformation. Especially, due to the severe oxidation, a special seed strategy is adopted to reduce the oxidation effect and obtain an accurate result. For validation, the structural thermal deformation and the values of coefficients of thermal expansion for the copper specimen are measured and compared with data in the literature. The results reveal that the proposed method is accurate to measure the deformation of the structures at high temperatures.

Toll-like receptor 4 prompts human breast cancer cells invasiveness via lipopolysaccharide stimulation and is overexpressed in patients with lymph node metastasis.

Toll-like receptor (TLR)4-mediated signaling has been implicated in tumor cell invasion, survival, and metastasis in a variety of cancers. This study investigated the expression and biological role of TLR4 in human breast cancer metastasis. MCF-7 and MDA-MB-231 are human breast cancer cell lines with low and high metastatic potential, respectively. Using lipopolysaccharide (LPS) to stimulate MCF-7 and MDA-MB-231 cells, expression of TLR4 mRNA and protein increased compared with that in control cells. TLR4 activation notably up-regulated expression of matrix metalloproteinase (MMP)-2, MMP-9 and vascular endothelial growth factor(VEGF) mRNA and their secretion in the supernatants of both cell lines. LPS enhanced invasion of MDA-MB-231 cells by transwell assay and MCF-7 cells by wound healing assay. LPS triggered increased expression of TLR4 downstream signaling pathway protein myeloid differentiation factor 88(MyD88) and resulted in interleukin (IL)-6 and IL-10 higher production by human breast cancer cells. Stimulation of TLR4 with LPS promoted tumorigenesis and formed metastatic lesions in liver of nude mice. Moreover, expression of TLR4 and MyD88 as well as invasiveness and migration of the cells could be blocked by TLR4 antagonist. Combined with clinicopathological parameters, TLR4 was overexpressed in human breast cancer tissue and correlated with lymph node metastasis. These findings indicated that TLR4 may participate in the progression and metastasis of human breast cancer and provide a new therapeutic target.