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Objective:To explore the effective way of cultivating the operating room nurses′humanistic quality by using the morning shift and to improve operating room nurses′comprehensive quality .Methods:The operating room nurses were divided into five specialist groups according to the nurses′levels, helping each group to determine the training topic of humanistic quality training , via taking a variety of training methods to promote operating room nurses′humanistic quality by making good use of the morning shift time .Results: Through taking a variety of training methods to promote the operating room nurses′humanistic quality by making good use of the morning shift time, the operating room nurses′humanistic care ability , theoretical knowledge , professional skills were improved significantly(P<0.05),and the operating rooms doctors, surgical patients′satisfaction of operating room nurses′service were improved ( P<0 .05 ) .Conclusion:Making good use of the morning shift time to improve the nurses′humanistic quality , at the same time , the nursing service quality and patients satisfaction were also improved .
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Aiming at the problem that it is difficult to accurately recognize the position and the figure of P wave in the ECGs easily influenced by the diversified interference,a P wave detection algorithm based on approximating functions in the optimum region is proposed in this paper. In the algorithm we use a conic to approach the P wave by means of the least square method in every region, which is shifted in local range. Then we find the optimum approach region of P wave by comparing the approximating error. Finally, we attain the characteristic points of P wave by using the approximating functions to approach P wave in the optimum region. The performance of the algorithm tested using the records of the MIT-BIH database is effective and accurate.
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Humanos , Algoritmos , Electrocardiografía , Métodos , Procesamiento de Señales Asistido por ComputadorRESUMEN
Objective To accurately detect ECG P wave,a P wave detection algorithm based on fitting function in the optimal interval is proposed and evaluated in this paper,for resolving very difficult problems.Such as differences of positions and figures in ECG P wave as well as easily suffered diversified interferences.Methods In this algorithm the quadratic function to fit the P wave with least square method in every interval was used,which was shifted in local range.Then the optimal fitting interval of P wave was found by comparing the error of fitting.Finally,the characteristic points of P wave were obtained with the fitting function to fit P wave in the optimal interval.Results The performance of this algorithm tested with the records of the MIT-BIH database was effective and accurate.Conclusion This algorithm on the wide range of heart rate variation and small P wave of ECG P wave detection has good effect.Also it has some capabilities of anti-interference and quite low dismissal probability in particular.
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Objective To find a new algorithm for oscillometric blood pressure measurement. Method A coefficient difference comparative method was proposed to measure the difference of adjoining pulse waves and their comparative ratios. And the turning point was judged by priority way in the range. Result The new method settled the problem of miscarriage of justice of the turning point around average pressure and improved the accuracy of blood pressure measurement. Conclusion It can detect difference between cardiovascular patients and normal persons. And it is effective and reliable in blood pressure measurement. It provides a convenient method for researching, preventing and epidemiological studies of cardiovascular diseases in our country.
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Blood pressure (BP) is one of important physiological parameters which reflect the activity of cardiovascular system. The discriminant method of BP is the key to improve the accuracy of measurements. In this paper, the principle of oscillation method is introduced first. The factors that influence the accuracy of this method and the preprocessing of pulse wave are also analyzed. Then, an improvement method based on oscillation method is proposed by means of the flow progress diagram, which is applied to measuring BP simulator and human body. The measurements are compared with the standard values of BP simulator and the measurements by Korotkoff sound method respectively. The results validate that the accuracy and the repeatability of BP determination are improved dramatically.
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Self-adaptive interference canceller based on LMS algorithm is an excellent filter which can adjust system parameter automatically. With good robustness, it can be applied to every signal abstraction and data treatment, especially bioelectric signals. By this algorithm, both the power frequency interference and baseline shift, for example, the ones of ECG signals, can be successfully eliminated.
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This paper describes the measuring principle and algorithm of atherogenic index with oscillometric model. The algorithm proves effective and reliable through analyses of many cases and lots of clinical tests, which has been applied to the development of Lab-VIEW-based software for clinical use. Both patients and doctors can turn to this software for the information of angiosclerosis.