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Abstract
This paper describes the detailed hardware design of Power regulator in Fluid-power measuring experimental platform which is one kind of power control system. The function of this part mainly is adjusting heating power that based on temperature requirements, and then calculates the new power measurement. The hardware device mainly is composed of two parts, AC power regulator circuit and AC voltage measurement circuit. The former measured output voltage of heater, while the latter measured output current. The heating power can be obtained after sampling them and corresponding treatments for them. Through the analysis of measurement data, the results show that it's reasonable for power measurement with this program and more accurate data can be obtained. Overall, the results fit better with the facts.
Defibrillation overload recovery performance is one of the most important electrical properties of ECG electrodes, which directly affects the ECG display after the patient is defibrillated, thereby affects the diagnosis and treatment of the patient. A defibrillation overload recovery performance test system for ECG electrodes was developed according to the latest pharmaceutical industry standards and based on the C8051F340 hardware system. With USB protocol data transfer, the detection of defibrillation overload recovery performance parameters (including AC impedance) is implemented on LabVIEW software platform. The system has good electrical isolation control, which can accurately operate the charging and discharging time during test process automatically. Experiment result shows that this system has good performance, and features safe, accurate and easy to operate.
It is necessary to ensure the quality of sleep studies conducted at home given that there can be potential variations. Automatic analysis is simple and could help in an audit. The objective is to find a predictive model of visual reading using an automatic analysis of saturation and respiratory signal in order to establish a reading standard with a polygraph used at home on patients who have sleep apnea-hypopnea clinical symptoms. The analysis was carried out using the following two definitions of hypopnea: an event with a duration of >or= 10 s with a decrease of > 30% of the respiratory signal; and an event associated either with a desaturation of >or= 3% or with a desaturation of >or= 4%. A total of 189 studies were selected from a representative sample of 218 patients. Two pneumologists carried out the readings together. The agreement between the visual respiratory disturbance index (RDI) [ie, apneas plus hypopneas] for both definitions and the automatic respiratory signal analysis (ie, automatic RDI [RDIa]) or the automatic desaturation index of 3% (DI3%a) and of 4% (DI4%a) showed limits from a Bland-Altman plot that were too large. However, a multiple linear regression analysis with RDIa and DI3%a or RDIa and DI4%a presented an acceptable level of agreement with RDI for both definitions (p < 0.001; r(2) = 96.2% and 97%, respectively). The 95% confidence interval for the differences between the RDI and the model was +/- 10.1 or +/- 8.8 events per hour, so a study should be revised outside of these limits. A predictive multiple regression model that uses the automatic analysis of the oximetry and respiratory signal could establish a standard for the visual reading of polygraphy at home.
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