Design and Realization of Remote Infusion Monitoring System / 中国医疗器械杂志

In order to reduce the working intensity of medical staff in inspecting patients during traditional infusion, a remote monitoring system for intravenous infusion is designed for solving the problem of delay in handling treatment during infusion process and to reduce the incidence of medical accidents. The system uses Visual Basic.NET language to develop the upper computer platform for infusion monitoring. It uses the Arduino control board and infrared photoelectric sensor to form a monitoring device to detect relevant information. At the same time, it uses Zigbee wireless sensing technology to transmit data and upload it to the software platform. The results show that the system can receive data from multiple monitoring terminal devices in the upper computer platform application interface at the same time. It can display the data in the nurse station in a graphical way, and perform alarm warning and information storage during the infusion process. The infusion monitoring system can observe the monitoring situation in real time, reduce the workload of medical staff, and further improve the operating efficiency and safety of the hospital.

Development of an Al-load-cell-based wireless ringer's solution monitoring and alarm system: insight into vibrational error correction

In this study, we developed an aluminum-load-cell-based wireless Ringer's solution monitoring and alarm (WRMA) system. The Al load cell was designed with a rectangular shape, and the load was concentrated in the lower beam part of the load cell because of the anisotropic thickness. From the static analysis, we identifi ed the appropriate location for a Wheatstone bridge circuit consisting of four strain gauges. In addition, the modal and harmonic analyses showed that the vibrational frequencies of the hospital environment do not seriously interfere with the output voltage of the Al load cell. However, random vibrations generated by the movement of the WRMA system on various surfaces severely increase the standard deviation of the measured solution weight by ± 10 g or more. Such vibrational error is too large because the average weight of Ringer's solution is 30–40 g at the time of replacing Ringer's solution. Thus, this error could be confusing for nurses and result in mistakes in the timely replacement of the Ringer's solution. However, the standard deviation of the measured weight was dramatically reduced to ± 3 g or less by using the vibration correction algorithm developed in the present study.

Alarma gamma para la protección radiológica / A Gamma Alarm system for radiation protection

En el presente trabajo se describe el desarrollo de un instrumento para el monitoreo radiológico identificado como Alarma Gamma (GAMAL01). Estos monitores detectan el incremento de la tasa de conteo de la radiación y emiten una alarma cuando esta magnitud sobrepasa un umbral determinado. El umbral para la emisión de la alarma se fija de manera que esta se produzca cuando se considere que la tasa de conteo de la radiación pueda provocar una exposición inaceptable del personal a las radiaciones, de acuerdo a lo establecido por las normas de seguridad radiológica vigentes en el país. La señal de alarma indica la necesidad de realizar la evacuación del personal del sitio afectado. El instrumento consta de dos secciones: una analógica y otra digital

This paper describes the development of an instrument for radiological monitoring, identified as Gamma Alarm (GAMAL01). The instrument monitors the increment of radiation count rate and produces an alarm signal, when the count rate becomes superior to a fixed threshold value. The threshold is fixed to assure that the signal emission will start when the value of the radiation count rate may cause a non acceptable radiological exposition of the personnel, according to the radiological safety regulations existing in the country. Following the signal the personnel must be evacuated from the affected place. The instrument consists of two sections, an analogical section and a digital one

The development of patient-tailored asthma prediction model for the alarm system

PURPOSE: The increased incidence of asthma due to rising allergic diseases requires the prevention of worsening asthma. It is necessary to develop a patient-tailored asthma prediction model. METHODS: We developed causative factors for the asthma forecast system: infant and young children (0–2 years), preschool children (3–6 years), school children and adolescents (7–18 years), adults (19–64 years), old aged adult (>64 years). We used the Emergency Department code data which charged the short-acting bronchodilator (Salbutamol sulfate) from Health Insurance Review and Assessment Service for the development of asthma prediction models. Three kinds of statistical models (multiple regression models, logistic regression models, and decision tree models) were applied to 40 study groups (4 seasons, 2 sex, and 5 age groups) separately. RESULTS: The 3 kinds of models were compared based on model assessment measures. Estimated logistic regression models or decision tree models were recommended as binary forecast models. To improve the predictability, a threshold was used to generate binary forecasts. CONCLUSION: We suggest the binary forecast models as a patient-tailored asthma prediction system for this category. It may be needed the extended study duration and long-term data analysis for asthmatic patients for the further improvement of asthma prediction models.

Study of Cohort Construction for Development of Early Alarm System (EMS) for Breast Cancer: based on women living in a rural area / 성인간호학회지

PURPOSE: 1) to construct cohorts according to risk scores calculated with the Gail Breast Cancer Risk Assessment Tool (Gail et al., 1989) (Gail) and the Breast Cancer Risk Appraisal (Lee et al,. 2003) (Lee) 2) to identify the distribution of risk factors and preventive behavior stages between the cohorts 3) to identify abnormal breast conditions in risk cohort. METHOD: Using convenience sampling, 775 rural women were selected. Risk appraisal was scored using Gail and Lee. Preventive behavior stages for BSE (Breast self examination) and mammography were measured using 4 stages of the Transtheoretical Model (Prochaska & DiClemente, 1983). RESULTS: 1) The risk cohort according to Gail was 12.3% (n=95), and Lee, 3.1% (n=24). 2) There were significant differences in the distribution of risk factors (age, family history, age at 1st live birth, age at menarche, number of breast biopsy, history of breast disease, and breast-feeding) between cohorts. 3) There was a significant difference in the distribution of the stage of BSE according to Lee. 4) Six women in the risk group detected masses or nodules and physician consultation and ultrasonography were recommended. CONCLUSION: On the basis of the constructed cohorts, further longitudinal studies of cohorts are recommended with interventions according to characteristics of cohorts.

A Supplementary LED Alarm System for Siemens StreamLab / 医疗卫生装备

Objective To help the operator to find the alarm of Siemens StreamLab as quickly as possible. Methods Based on serial port control with VB 6.0 program, the system can catch the change of the control screen's special point and control the serial port to change the condition of the appointed pin to get a DC voltage to turn the LED on. Results The translation was implemented from screen icon alarm to LED alarm. Conclusion The LED alarm system can help the operator to observe the alarm of Siemens StreamLab promptly.