Plasma Oscillatory Pressure Sintering of Mo-9Si-8B Composites with ZrB 2 Addition

2021 ◽  
Author(s):  
Xiangyu Ding ◽  
Zhenping Guo ◽  
Linyang Li ◽  
Zhuoyue Li ◽  
Xin Li
Keyword(s):  
Oscillatory Pressure

A device employing a neural network for blood pressure estimation from the oscillatory pressure pulse wave and PPG signal

Sensor Review ◽  
2021 ◽  
Vol 41 (1) ◽  
pp. 74-86
Author(s):  
Jian Tian ◽  
Jiangan Xie ◽  
Zhonghua He ◽  
Qianfeng Ma ◽  
Xiuxin Wang
Keyword(s):  
Neural Network ◽  
Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Pressure Pulse ◽  
Pulse Wave ◽  
Content Type ◽  
The Neural Network ◽  
The Difference ◽  
Oscillatory Pressure ◽  
Mercury Sphygmomanometer

Purpose Wrist-cuff oscillometric blood pressure monitors are very popular in the portable medical device market. However, its accuracy has always been controversial. In addition to the oscillatory pressure pulse wave, the finger photoplethysmography (PPG) can provide information on blood pressure changes. A blood pressure measurement system integrating the information of pressure pulse wave and the finger PPG may improve measurement accuracy. Additionally, a neural network can synthesize the information of different types of signals and approximate the complex nonlinear relationship between inputs and outputs. The purpose of this study is to verify the hypothesis that a wrist-cuff device using a neural network for blood pressure estimation from both the oscillatory pressure pulse wave and PPG signal may improve the accuracy. Design/methodology/approach A PPG sensor was integrated into a wrist blood pressure monitor, so the finger PPG and the oscillatory pressure wave could be detected at the same time during the measurement. After the peak detection, curves were fitted to the data of pressure pulse amplitude and PPG pulse amplitude versus time. A genetic algorithm-back propagation neural network was constructed. Parameters of the curves were inputted into the neural network, the outputs of which were the measurement values of blood pressure. Blood pressure measurements of 145 subjects were obtained using a mercury sphygmomanometer, the developed device with the neural network algorithm and an Omron HEM-6111 blood pressure monitor for comparison. Findings For the systolic blood pressure (SBP), the difference between the proposed device and the mercury sphygmomanometer is 0.0062 ± 2.55 mmHg (mean ± SD) and the difference between the Omron device and the mercury sphygmomanometer is 1.13 ± 9.48 mmHg. The difference in diastolic blood pressure between the mercury sphygmomanometer and the proposed device was 0.28 ± 2.99 mmHg. The difference in diastolic blood pressure between the mercury sphygmomanometer and Omron HEM-6111 was −3.37 ± 7.53 mmHg. Originality/value Although the difference in the SBP error between the proposed device and Omron HEM-6111 was not remarkable, there was a significant difference between the proposed device and Omron HEM-6111 in the diastolic blood pressure error. The developed device showed an improved performance. This study was an attempt to enhance the accuracy of wrist-cuff oscillometric blood pressure monitors by using the finger PPG and the neural network. The hardware framework constructed in this study can improve the conventional wrist oscillometric sphygmomanometer and may be used for continuous measurement of blood pressure.

Oscillatory-Pressure Ultrafiltration of Corn Gluten Hydrolysate

2002 ◽  
Vol 35 (8) ◽  
pp. 806-809
Author(s):  
Chang Woo Suh ◽  
Gio-Bin Lim ◽  
Eun Kyu Lee
Keyword(s):  
Corn Gluten ◽  
Oscillatory Pressure

Zirconia ceramics consolidated by oscillatory pressure sintering and subsequent carburization

2019 ◽  
Vol 45 (7) ◽  
pp. 9038-9042 ◽  
Author(s):  
Shuang Li ◽  
Zhipeng Xie ◽  
Di An ◽  
Chuncheng Wei ◽  
Peng Wang ◽  
...  
Keyword(s):  
Zirconia Ceramics ◽  
Oscillatory Pressure

scholarly journals Unsteady low Reynolds number flow in a heated tube of slowly varying section

1988 ◽  
Vol 30 (2) ◽  
pp. 179-202 ◽  
Author(s):  
A. R. Bestman
Keyword(s):  
Fluid Motion ◽  
The Body ◽  
Axial Component ◽  
Axial Distance ◽  
Mean Flow ◽  
Steady Streaming ◽  
Reynolds Number Flow ◽  
Number Flow ◽  
The Mean ◽  
Oscillatory Pressure

AbstractFluid motion established by an oscillatory pressure gradient superimposed on a mean, in a tube of slowly varying section, is studied when the temperature of the tube wall varies with axial distance. Particular attention is focussed on the mean flow and steady streaming components of the oscillatory flow of higher approximation. For the velocity components, the axial component takes the pride of place, since this component is responsible for convection of nutrients to various parts of the body of a mammal in systematic circulation. A salient point in the paper concerns consequences of free convection currents at a constriction (stenosis).

Oscillatory Pressure Effect on Mean Burning Rates of Solid Propellant Combustion at Low Frequency Conditions

2019 ◽  
Vol 44 (3) ◽  
pp. 369-378 ◽  
Author(s):  
Balusamy Kathiravan ◽  
Rajendra Rajak ◽  
Chidambaram Senthilkumar ◽  
Kandasamy Jayaraman
Keyword(s):  
Solid Propellant ◽  
Pressure Effect ◽  
Low Frequency ◽  
Propellant Combustion ◽  
Burning Rates ◽  
Oscillatory Pressure

A comparative study of the therapeutic efficacy of vertical oscillatory pressure and transverse oscillatory pressure in the management of Chronic Low Back Pain

2018 ◽  
Vol 8 (2) ◽  
pp. 216-222
Author(s):  
Oluwadare Akanni Ogundipe ◽  
Olufemi Opeyemi Ogundiran
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Outcome Measures ◽  
Chronic Low Back Pain ◽  
Low Back ◽  
Significant Difference ◽  
Before And After ◽  
Treatment Data ◽  
Quasi Experimental ◽  
Oscillatory Pressure

BACKGROUND: The use of physical modalities in treatment of Chronic Low Back Pain (CLBP) is potentially beneficial, but the general evidence still leaves questions about its security application. OBJECTIVE: This study sought to investigate and compare the relative efficacy of Vertical Oscillatory Pressure (VOP) and Transverse Oscillatory Pressure (TOP) in the management chronic low back pain (CLBP) of mechanical origin. METHODS: A two-group, quasi-experimental design was utilized, involving a total of forty-two participants purposively recruited with due consideration of the specific inclusion and exclusion criteria. Five research questions were raised with corresponding hypotheses formulated for them, which were tested at 0.05 level of significance. The participants were randomly assigned to the VOP and TOP groups, and were subsequently managed thrice weekly for a duration of six weeks. The pain intensity rating, straight leg raising, and spinal range of motion were the outcome measures selected, which were assessed before and after treatment. Data were collected, organized, and analyzed using descriptive and T-Student test analytical statistics. RESULTS: The results of the study showed a significant difference in each of the outcome measures for both groups (p<0,05). CONCLUSION: This suggested that both VOP and VOP were relatively effective in managing CLBP.

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