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1.
通过对荧光显微光学切片断层成像系统实际成像过程中激光器、液位、平移台等运行状态的分析,针对性设计了对这些关键部件工作状态进行监测的方法。在此基础上,进一步研制了一套可远程监测成像系统工作状态的装置,实现了对成像系统中激光器、液位以及平移台等实时状态的监测,将成像系统从开环工作状态转变为了带实时反馈的可监控工作状态。远程监控装置的使用提高了荧光显微光学切片断层成像系统的实用性与稳定性,提高了所获取数据的完整性。  相似文献   

2.
ABSTRACT We developed a remote videography system for monitoring behavior and demography of beavers (Castor canadensis) inside lodges and bank dens. Videography systems taped 6 beaver colonies for 1,080 hours and recorded 300 hours of beaver activity. Upon viewing videotape, we could characterize 86% of beaver activity into 1 of 12 behavioral categories. Of 26 individually marked beavers, we observed 8 (31%) on videotape and obtained a complete count of kits in 4 of 5 colonies. The remote videography system was generally useful and can provide wildlife biologists with demographic and behavioral information to support population modeling and management programs for beavers.  相似文献   

3.
N. Shanmathi  M. Jagannath 《IRBM》2018,39(5):359-367

Background

Remote health monitoring plays a major role in handling the critical situation of patients and avoiding death and also enhancing the quality of healthcare services. The effective real time monitoring with accurate decision has to be made in advance with the help of decision making system by continuously acquiring biosignals.

Objectives

The main objective was to outline the research on remote patient health monitoring system that constitutes the multimodal biosignal acquisition system, thereby providing multi-label classification and clinical decision support system (CDSS).

Methods and results

A review was conducted with search terms such as multi-label classification, clinical decision support system, context-awareness and remote health monitoring. The study criteria included the randomized clinical trials evaluating the impact of efficient remote health monitoring system which incorporates CDSS for context-awareness systems by correlating several vital signs. From the total papers (n=52) which were included in the review, the major concentration of the review is multi-label classification (n=21, 40%). Further, this article included the review in context-awareness methods (n=5, 10%), clinical decision support systems (n=12, 23%), different means of biosignal acquisition and pre-processing (n=5, 10%), databases and software techniques for developing learning algorithms (n=3, 6%) and from general category (n=6, 12%). Several studies were effectively included which provides faster diagnosis for critically ill-patients. It is decisive for the critically ill-patients to be treated at the right time with proper and effective treatment which can be done efficiently using the CDSS and multi-label classification. The disease labels are classified as single and multi-labels where multi-label classification includes the disease labels for the correlated multiple vital signs and single label classification includes disease labels for individual vital signs. Further, on developing the logical learning model using multi-label classification, decision support system can be enhanced using context-awareness methods to predict the future vital signs, thereby providing an alert to the patients or doctors to take necessary actions.

Conclusion

The proposed system includes the model that provides the correlations of several biosignals like electrocardiogram (ECG), peripheral capillary oxygen saturation (SPO2), body temperature and heartbeat, thereby identifying the critical situations and making the decisions using CDSS that helps in taking the necessary clinical interventions.  相似文献   

4.
5.
Abstract Efficient and accurate vegetation sampling techniques are essential for the assessment of wetland restoration success. Remotely acquired data, used extensively in many locations, have not been widely used to monitor restored wetlands. We compared three different vegetation sampling techniques to determine the accuracy associated with each method when used to determine species composition and cover in restored Pacific coast wetlands dominated by Salicornia virginica (perennial pickleweed). Two ground‐based techniques, using quadrat and line intercept sampling, and a remote sensing technique, using low altitude, high resolution, color and color infrared photographs, were applied to estimate cover in three small restoration sites. The remote technique provided an accurate and efficient means of sampling vegetation cover, but individual species could not be identified, precluding estimates of species density and distribution. Aerial photography was determined to be an effective tool for vegetation monitoring of simple (i.e., single‐species) habitat types or when species identities are not important (e.g., when vegetation is developing on a new restoration site). The efficiency associated with these vegetation sampling techniques was dependent on the scale of the assessment, with aerial photography more efficient than ground‐based sampling methods for assessing large areas. However, the inability of aerial photography to identify individual species, especially mixed‐species stands common in southern California salt marshes, limits its usefulness for monitoring restoration success. A combination of aerial photography and ground‐based methods may be the most effective means of monitoring the success of large wetland restoration projects.  相似文献   

6.
ObjectiveContinuous glucose monitoring (CGM) has demonstrated benefits in managing inpatient diabetes. We initiated this single-arm pilot feasibility study during the COVID-19 pandemic in 11 patients with diabetes to determine the feasibility and accuracy of real-time CGM in patients who underwent cardiac surgery and whose care was being transitioned from the intensive care unit.MethodsA Clarke error grid analysis was used to compare CGM and point-of-care measurements. The mean absolute relative difference (MARD) of the paired measurements was calculated to assess the accuracy of CGM for glucose measurements during the first 24 hours on CGM, the remaining time on CGM, and for different chronic kidney disease (CKD) strata.ResultsOverall MARD between point-of-care and CGM measurements was 14.80%. MARD for patients without CKD IV and V with an estimated glomerular filtration rate (eGFR) of ≥20 mL/min/1.73 m2 was 12.13%. Overall, 97% of the CGM values were within the no-risk zone of the Clarke error grid analysis. For the first 24 hours, a sensitivity analysis of the overall MARD for all patients and those with an eGFR of ≥20 mL/min/1.73 m2 was 15.42% ± 14.44% and 12.80% ± 7.85%, respectively. Beyond the first 24 hours, overall MARD for all patients and those with an eGFR of ≥20 mL/min/1.73 m2 was 14.54% ± 13.21% and 11.86% ± 7.64%, respectively.ConclusionCGM has shown great promise in optimizing inpatient diabetes management in the noncritical care setting and after the transition of care from the intensive care unit with high clinical reliability and accuracy. More studies are needed to further assess CGM in patients with advanced CKD.  相似文献   

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