This paper analyses detection errors of blood pressure meter (BPM) based on oscillomatric method with pressure reducing system step by step. The errors of BPM detecting system severely affecting detection accuracy and...This paper analyses detection errors of blood pressure meter (BPM) based on oscillomatric method with pressure reducing system step by step. The errors of BPM detecting system severely affecting detection accuracy and precision were evaluated. It provided a novel algorithm not only ameliorating these errors but also with shorter detection cycle. In order to release cuff air in linearity, this paper also provide a method to control different valve supplied with different power to maintain a certain deflation rate at 4 mmHg/Step. The experiments of these tests are conducted under PC detecting platform developed specially for this usage. The hardware design of interface of microprocessor and the monitoring program based on C language make this detecting system can be transformed to single chip processor system. The final goal of this research is to bring to a portable wrist BPM product and this call for severe demand for power design. Through detecting 60 subjects with different blood pressure the result is that the maximum experimental standard deviations of systolic, diastolic and mean blood pressure are less than 6 mmHg. Comparing with the congeneric product of wrist BPM with nonuniform specification, this systems specification tallies with overall system accuracy demand defined in EN 1060 3.展开更多
文摘This paper analyses detection errors of blood pressure meter (BPM) based on oscillomatric method with pressure reducing system step by step. The errors of BPM detecting system severely affecting detection accuracy and precision were evaluated. It provided a novel algorithm not only ameliorating these errors but also with shorter detection cycle. In order to release cuff air in linearity, this paper also provide a method to control different valve supplied with different power to maintain a certain deflation rate at 4 mmHg/Step. The experiments of these tests are conducted under PC detecting platform developed specially for this usage. The hardware design of interface of microprocessor and the monitoring program based on C language make this detecting system can be transformed to single chip processor system. The final goal of this research is to bring to a portable wrist BPM product and this call for severe demand for power design. Through detecting 60 subjects with different blood pressure the result is that the maximum experimental standard deviations of systolic, diastolic and mean blood pressure are less than 6 mmHg. Comparing with the congeneric product of wrist BPM with nonuniform specification, this systems specification tallies with overall system accuracy demand defined in EN 1060 3.
