Objective Electrocardiogram(ECG)signal quality degrades when the level of activity is high and motion artifacts are severe.Poor quality signals may result in false alarms,poor patient monitoring,imprecise measurement,and misleading diagnosis.The quantitative assessment of ECG signal quality forms the basis of automatic ECG noise reduction and heart disease diagnosis.Methods The ECG signal quality index(SQI)was obtained by statistically analyzing the heartbeat similarity and the slope character,respectively,namely rSQI and kSQI.Results Using MIT-BIH Noise Stress Test Database to test,both rSQI and kSQI decreased when the Signal Noise Ratio(SNR)decreased,which revealed the ECG signal quality.Based on the quasiperiodic property,the waveform similarity,as a beat-to-beat index,is obtained by cross correlation between two ECG cycles with high precision but heavy computation.Slope-based method dispenses with QRS detection and is very simple and real-time,but its sensitivity is lower than similarity-based method and it only get statistical data.Conclusion Both morphology similarity and slope character algorithms could provide objective estimation of ECG quality.Slope-based method is an attractive measure due to its simplicity and mathematical convenience,while similarity-based method is more accurate and robust for ECG quality assessment.

Objective To propose a novel method based on three-dimensional depthwise separable convolution network(3D DSN)for the separation of PET images with dual tracers of 18F-FDG and 18F-FAPI.Methods A total of 120 pairs of 18F-FDG and 18F-FAPI PET images of the same patient scanned separately at different time points were collected,and the dual-tracer PET image was generated through simulation.After the image registration of PET images of two tracers for ensuring spatial position matching,the registered PET images were forward-projected to generate sinogram data,and the sinogram data of two tracers were accumulated to obtain mixed sinogram data.Subsequently,the dual-tracer PET image was reconstructed using maximum likelihood expectation maximization and input into a 3D DSN based network for image separation,thereby obtaining PET images of two single tracers.Results Compared with 3D CNN method,the proposed method increased the structure similarity index measure(SSIM)of the separated 18F-FDG images to the real 18F-FDG images by 0.87%,increased the peak signal-to-noise ratio(PSNR)by 11.8%,and reduced the normalized root mean square error(NRMSE)by 52%.The SSIM of the separated 18F-FAPI images to the real 18F-FAPI images increased by 1.1%,PSNR increased by 17.0%,and NRMSE decreased by 51%.Conclusion The proposed method can be effectively applied to simultaneous PET imaging with dual PET tracers,reducing the number of scans and costs in time and money,and providing clinical doctors more accurate and abundant diagnostic information.

Objective To propose a novel method based on three-dimensional depthwise separable convolution network(3D DSN)for the separation of PET images with dual tracers of 18F-FDG and 18F-FAPI.Methods A total of 120 pairs of 18F-FDG and 18F-FAPI PET images of the same patient scanned separately at different time points were collected,and the dual-tracer PET image was generated through simulation.After the image registration of PET images of two tracers for ensuring spatial position matching,the registered PET images were forward-projected to generate sinogram data,and the sinogram data of two tracers were accumulated to obtain mixed sinogram data.Subsequently,the dual-tracer PET image was reconstructed using maximum likelihood expectation maximization and input into a 3D DSN based network for image separation,thereby obtaining PET images of two single tracers.Results Compared with 3D CNN method,the proposed method increased the structure similarity index measure(SSIM)of the separated 18F-FDG images to the real 18F-FDG images by 0.87%,increased the peak signal-to-noise ratio(PSNR)by 11.8%,and reduced the normalized root mean square error(NRMSE)by 52%.The SSIM of the separated 18F-FAPI images to the real 18F-FAPI images increased by 1.1%,PSNR increased by 17.0%,and NRMSE decreased by 51%.Conclusion The proposed method can be effectively applied to simultaneous PET imaging with dual PET tracers,reducing the number of scans and costs in time and money,and providing clinical doctors more accurate and abundant diagnostic information.

68Ga-DOTATATE/18F-FDG two-day low-dose total-body PET/CT imaging is increasingly employed to facilitate the diagnosis,prognosis,and heterogeneity assessment of neuroendocrine neoplasms.We present a consensus on operational guideline for a two-day combined imaging from experts in low-dose/ultra-low-dose total-body PET/CT from several domestic medical institutions.

Objective:To dynamically monitor the changes of fibrinogen-like protein 2 (FGL2), Vaspin and transport protein (TSPO) in the perioperative period of craniocerebral trauma, and analyze their correlation with disease progression and significance.Methods:One hundred and eight patients with craniocerebral trauma admitted to Hubei Jianghan Oilfield General Hospital Guanghuayuan District from June 2019 to June 2022 were selected and according the scores of Glasgow outcome scale (GOS) at 3 months postoperatively they were divided into good group (GOS 4 - 5 scores, 68 cases) and poor group (GOS 1 - 3 scores, 40 cases). The changes of FGL2, Vaspin and TSPO were monitored and compared between the two groups at preoperatively, 1 d postoperatively and 3 d postoperatively. Pearson analysis was applied to analyze the relationship between FGL2, Vaspin and TSPO at 1, 3 d postoperatively. The value of FGL2, Vaspin, TSPO and combined prediction of disease regression at 3 d postoperatively was analyzed by receiver operating characteristic (ROC) curve.Results:The rate of multiple injuries and brain herniation formation in the poor group were higher than those in the good group: 30.00% (12/40) vs. 7.35% (5/68), 20.00% (8/40) vs. 2.94% (2/68), and the scores of Glasgow coma scale (GCS) was lower than that in the good group: (8.04 ± 1.25) scores vs. (9.18 ± 1.33) scores, there were statistical differences ( P<0.05). The levels of FGL2, Vaspin and TSPO were all higher at 1 d postoperatively than before surgery in patients with different disease regressions, with each index decreasing at 3 d postoperatively compared with 1 d postoperatively in the good group, but continuing to increase at 3 d postoperatively in the bad group ( P<0.05). The levels of FGL2, Vaspin and TSPO in the poor group were higher than those in the good group at 1 d and 3 d postoperatively: at 1 d postoperatively: (314.01 ± 88.67) μg/L vs. (275.33 ± 79.24) μg/L, (0.27 ± 0.08) μg/L vs. (0.22 ± 0.07) μg/L, (3.28 ± 1.03) μg/L vs. (2.01 ± 0.64) μg/L; at 3 d postoperatively: (374.85 ± 92.33) μg/L vs. (259.94 ± 81.78) μg/L, (0.30 ± 0.09) μg/L vs. (0.20 ± 0.06) μg/L, (3.77 ± 1.15) μg/L vs. (1.68 ± 0.52) μg/L, there were statistical differences ( P<0.05). The results of Pearson analysis showed that FGL2, Vaspin and TSPO were negatively correlated with GOS scores at 1 d and 3 d postoperatively (at 1 d postoperatively: r = - 0.729, - 0.796, - 0.814, P<0.05; at 3 d postoperatively: r = - 0.862, - 0.855, - 0.905, P<0.05), FGL2, Vaspin and TSPO were more strongly correlated with GOS scores at 3 d postoperatively (larger r values). The results of ROC curve analysis showed that FGL2, Vaspin and TSPO all had a predictive value for disease regression, and the area under the curve of FGL2 combined with Vaspin and TSPO was the largest (0.923 , 95% CI 0.855 to 0.965). Conclusions:There are many influencing factors in the prognosis of craniocerebral trauma. The changes of FGL2, Vaspin and TSPO during the perioperative period can predict the progress and regression of patients, and the combined dynamic monitoring is more conductive to evaluate the prognosis.

Whether it is the long-term health maintenance of the space station in orbit,or the research on aerospace medical issues,multiple physiological indicators reflecting human physiological functions need to be monitored.With the development of wearable physiological detection technology,the requirements for comfort,low load,and human-machine friendly during the continuous collection and detection of physiological information are becoming increasingly high.This paper designs a set of wearable multi-physiological parameter detection system based on flexible electrodes using fabric electrodes as signal sensors.The system includes hardware such as intelligent clothing and physiological signal detection modules,as well as physiological signal display and storage software,which achieves synchronous detection of multiple physiological signals such as ECG,respiration,and EMG.The design ideas,implementation method,key technologies,and results for collecting,detecting,and processing physiological signals under non-steady state conditions are introduced in this paper.The experimental results show that the system can reliably detect physiological signals such as ECG,respiration,and EMG during motion in flight.

Suffering is prevalent in the palliative care population and is an important factor affecting the quality of life of palliative care patients and their family caregivers. In this paper, we review the assessment content, measurement methods, current application status and advantages and disadvantages of suffering assessment tools for palliative care patients, analyze the problems of current suffering assessment tools for palliative care patients and make suggestions, aiming to provide reference for palliative suffering treatment in China.

Dysregulation of microRNAs (miRNAs) is involved in abnormal development and pathophysiology in the brain. Although miR-20b plays essential roles in various human diseases, its function in cerebral ischemic stroke remains unclear. A cell model of oxygen glucose deprivation/reoxygenation (OGD/R) and A rat model of middle cerebral artery occlusion/reperfusion (MCAO/R) were constructed. qRT-PCR and western blot were used to evaluate the expression of miR-20b and TXNIP. Cell viability was detected by MTT assay, and cell apoptosis was evaluated by flow cytometry. Targetscan and Starbase were used to predict the potential targets of miR-20b. Luciferase reporter assay was applied to determine the interaction between miR-20b and TXNIP. Rescue experiments were conducted to confirm the functions of miR-20b/TXNIP axis in cerebral ischemic stroke. MiR-20b was significantly downregulated after I/R both in vitro and in vivo. Upregulation of miR-20b inhibited OGD/R-induced neurons apoptosis and attenuated ischemic brain injury in rat model. Bioinformatic prediction suggested that TXNIP might be a target of miR-20b, and luciferase reporter assay revealed that miR-20b negatively regulated TXNIP expression by directly binding to the 3’-UTR of TXNIP. Downregulation of TXNIP inhibited OGD/R-induced neurons apoptosis in vitro and ischemic brain injury in vivo. Rescue experiments indicated that downregulation of TXNIP effectively reversed the effect of miR-20b inhibitor in neurons apoptosis after OGD/R-treatment and ischemic brain injury in a mouse model after MCAO/R-treatment. Our study demonstrated that upregulation of miR-20b protected the brain from ischemic brain injury by targeting TXNIP, extending our understanding of miRNAs in cerebral ischemic stroke.

Dysregulation of microRNAs (miRNAs) is involved in abnormal development and pathophysiology in the brain. Although miR-20b plays essential roles in various human diseases, its function in cerebral ischemic stroke remains unclear. A cell model of oxygen glucose deprivation/reoxygenation (OGD/R) and A rat model of middle cerebral artery occlusion/reperfusion (MCAO/R) were constructed. qRT-PCR and western blot were used to evaluate the expression of miR-20b and TXNIP. Cell viability was detected by MTT assay, and cell apoptosis was evaluated by flow cytometry. Targetscan and Starbase were used to predict the potential targets of miR-20b. Luciferase reporter assay was applied to determine the interaction between miR-20b and TXNIP. Rescue experiments were conducted to confirm the functions of miR-20b/TXNIP axis in cerebral ischemic stroke. MiR-20b was significantly downregulated after I/R both in vitro and in vivo. Upregulation of miR-20b inhibited OGD/R-induced neurons apoptosis and attenuated ischemic brain injury in rat model. Bioinformatic prediction suggested that TXNIP might be a target of miR-20b, and luciferase reporter assay revealed that miR-20b negatively regulated TXNIP expression by directly binding to the 3’-UTR of TXNIP. Downregulation of TXNIP inhibited OGD/R-induced neurons apoptosis in vitro and ischemic brain injury in vivo. Rescue experiments indicated that downregulation of TXNIP effectively reversed the effect of miR-20b inhibitor in neurons apoptosis after OGD/R-treatment and ischemic brain injury in a mouse model after MCAO/R-treatment. Our study demonstrated that upregulation of miR-20b protected the brain from ischemic brain injury by targeting TXNIP, extending our understanding of miRNAs in cerebral ischemic stroke.

Objective:To establish the Sunitinib-resistant model GIST882-Rs.Methods:The intermittent concentration gradient doubling method was used to get Sunitinib-resistant cell line GIST 882-Rs. Changes of cell morphology were observed and compared under the opticalm icroscopy. Changes of cell cycle were assayed and compared by using flow cytometer. The growth curvature , half maximal inhibitory concentration (IC50) were calculated by using cell counting kit (CCK8) assay.Results:Significant changes occurred in the morphologic profiles, such as epithelioid shape, the increased ratio of nucleolus to cytoplasm, emerging multinucleated cel1 and increase of granule sub stances. IC50 for GIST882 and GIST 882-Rs were(127.50 ± 2.15) μmol and (23.98 ± 1.85) μmol, and there were significant differences ( P < 0.05). The resistance index of GIST882-Rs to Sunitinib was 5.30 fold of GIST882 cells. The cell cycle of GIST882 and GIST882- Rs was respectively 52.51% and 39.87% in S phase 25.22% and 32.32% in G 0/G 1 phase. Conclusions:The sensitivity of GIST 882-Rs to Sunitinib treatment is decreased significantly.