Infusion Monitoring System Research Articles

Development of Smart Infusion Control and Monitoring System (SICoMS) Based Web and Android Application

This study aims to develop an automatic system of tools infusion that can monitor the condition of the infusion volume and monitor the condition of droplets performed remotely using web technology and Android applications. The test activities of SICoMS is testing heavy on the loadcell sensor, HX711 module testing, testing of droplets on the photodiode sensor, data communications testing, web, and Android testing. SICoMS design has been made simple with two main functions are remote monitoring for the condition of the contents/detection volume of infusion fluids and drips or absence of intravenous fluids. The status intravenous fluid volume used by patients divided into three categories namely: Safe: intravenous fluid condition > 10%; Standby: the condition of the infusion liquid 5%-10% and Empty: 0% condition intravenous fluids. Heavy testing the infusion bag with three different volume of 500 mL, 100 mL and 25 mL generate accurate results that are displayed on SICoMS application. At the time of infusion fluid is completely discharged, the red indicator on the display flashes SICoMS application and buzzer at the infusion apparatus will beep to inform the patient’s family/patient.

Connecting Intelligent Things in Smart Hospitals Using NB-IoT

The widespread use of Internet of Things (IoT), especially smart wearables, will play an important role in improving the quality of medical care, bringing convenience for patients and improving the management level of hospitals. However, due to the limitation of communication protocols, there exists non unified architecture that can connect all intelligent things in smart hospitals, which is made possible by the emergence of the Narrowband IoT (NB-IoT). In light of this, we propose an architecture to connect intelligent things in smart hospitals based on NB-IoT, and introduce edge computing to deal with the requirement of latency in medical process. As a case study, we develop an infusion monitoring system to monitor the real-time drop rate and the volume of remaining drug during the intravenous infusion. Finally, we discuss the challenges and future directions for building a smart hospital by connecting intelligent things.

Design of Unmanned Monitoring and Automatic Monitoring System

<p>With the development of electronic technology, medical equipment is also undergoing some changes, and the traditional manual monitoring mode is clearly unsatisfied with today’s monitoring needs. At present, China’s medical institutions in the infusion treatment, the infusion rate control or the use of conventional clinical infusion, general use of hanging bottle infusion, and direct observation with the eyes, relying on manual clip to control the infusion rate, this mode of operation cannot be precisely controlled Infusion speed, and the workload. Therefore, the need for both cheap and practical medical infusion detection monitoring device to meet today’s medical needs. The system is designed with the single chip AT89C51 as the core, the keyboard and photoelectric sensor as the input system to digital tube and motor as the output system of intelligent infusion control and monitoring system. The keyboard system is a stand-alone key system, the function of the photoelectric sensor for the liquid droplet speed and infusion bottle page height of the reliable detection. When the liquid level is below the alert value, the system issues an alarm and can manually remove the alarm. The motor has a large controllable power and the input pulse can be maintained when the same torque and other advantages, so that you can control the bottle by the upper and lower slowly to achieve the purpose of intelligent control of liquid drip speed.</p>

Data driven nonparametric identification and model based control of glucose-insulin process in type 1 diabetics

Closed loop control of glucose homeostasis via subcutaneous insulin infusion and continuous glucose monitoring system can give better living to a type 1 diabetic patient. This paper deals with the real time implementation of internal model control (IMC) of subcutaneous insulin infusion. The model based control is applied on the nonparametric model of the patient identified in real time from input–output data. Meal simulation model of the glucose-insulin system of type 1 diabetic patient based on the work of Dalla Man et. al. is considered. This model is constructed in hardware platform that acts as the virtual patient. The data-driven nonparametric model of the virtual patient is identified in real time by computing Volterra kernels. The kernels are solved up to second order using recursive least squares (RLS) algorithm with short memory length of M=2. The validation results of the identified model output and the actual output have shown good fit in both simulation and real time environments. The frequency domain kernels are used in internal model control to generate insulin dosage. The control algorithm is developed in simulation and implemented in real time with hardware in loop on dSPACE platform. The closed loop system yields good meal disturbance rejection, less undershoots, settling time and more profoundly smaller requirement of insulin infusion as compared to the earlier reported data.

Research of the Intelligent Medical Infusion Monitoring System

This project is a multi-platform operating system consisting of a upper monitor and some lower position machines. It mainly studies on the detection and control in the process of infusion treatment. Through the infrared detection of the waveform on pulse, using the pulse counting mode, we can measure the number of drops of liquid. We also use a drive motor to control the transfusion drip rate, thus the infusion tube can be closed when necessary and give an alarm. Such a system makes the nursing staff more convenient to operate and can reduce labor intensity and medical accidents.

The Design of Elderly Apartment Infusion Monitoring System Based on Wireless Module APC220

In view of the elderly apartment nursing staff shortages and intravenous rely on manual adjustment, visual control technology present situation; this paper designs a wireless module APC220 elderly apartment infusion of intelligent monitoring system. System adopts master-slave control structure, controlled by single chip microcomputer from the station to realize droplets monitoring, stepper motor control of the infusion dripping speed, LCD display, sound and light alarm function such as the abnormal infusion and transfusion, and the transmission function by wireless module implements monitoring data; The main data wireless receiving and transmitted to the PC, socialized service for the purpose of advanced information technology.

Description and Preliminary Evaluation of a Diabetes Technology Simulation Course

We aim to provide data on a diabetes technology simulation course (DTSC) that instructs internal medicine residents in the use of continuous subcutaneous insulin infusion (CSII) and continuous glucose monitoring system (CGMS) devices. The DTSC was implemented during calendar year 2012 and conducted in the institution's simulation center. It consisted of a set of prerequisites, a practicum, and completion of a web-based inpatient CSII-ordering simulation. DTSC participants included only those residents in the outpatient endocrinology rotation. Questionnaires were used to determine whether course objectives were met and to assess the satisfaction of residents with the course. Questionnaires were also administered before and after the endocrine rotation to gauge improvement in familiarity with CSII and CGMS technologies. During the first year, 12 of 12 residents in the outpatient endocrinology rotation completed the DTSC. Residents reported that the course objectives were fully met. The mean satisfaction score with the course ranged from 4.0 to 4.9 (maximum, 5), with most variables rated above 4.5. Self-reported familiarity with the operation of CSII and CGMS devices increased significantly in the postrotation survey compared with that on the prerotation survey (both p < .01). In this pilot program, simulation-based education increased the perceived familiarity of residents with CSII and CGMS technologies. In light of these preliminary findings, the course will continue to be offered, with further data accrual. Future work will involve piloting the DTSC approach among other types of providers, such as residents in other specialties or inpatient nursing staff.

Experimental Study of the Performance Test for the Infusion Monitoring System

Comparison with conventional manual adjustment to control the drop speed in clinical infusion, the infusion monitoring system can achieve much more high reliability and efficiency, and is easy to realize the automation of infusion. So the infusion monitoring system has been designed in the last papers. To test the designed system performance, some experiments are done. And the result show that under requirement of the system precision, the time consumption increase with the incensement of speed difference value; Comparing to the conventional PID controller, the fuzzy-PID controller can achieve high precision and little stabilizing time consumption.

The Design of Infusion Monitoring System Based on STM32 Microcontroller

conventional manual adjustment to control the drop speed in clinical infusion has more unadvantageous and cannot realize automatic controlling and monitoring of the infusion speed. According to this condition, the infusion monitoring system is designed based on the STM32 microcontroller and one pair of infrared emitting and receiving diode, and the experimental is done. The result shows that this designed monitoring system can reach high accuracy, high reliability and low adjust time.

Research on Monitoring System for Transfusion in Hospital

In order to solve the existing problems of artificial monitoring transfusion treatment and enhance the automation level of the hospital care and management, a hospital infusion monitoring system is designed. Hospital infusion monitoring system adopts the structure of distributed computer control system, adopts RS485 bus to realize the communication between the upper computer and the lower computer. The lower computer uses MSP430F149 MCU as the core, implements the dripping speed detection, the drug liquid remaining amount detection, at the same time to adjust dripping speed by controlling the stepper motor. PC microcomputer as the monitoring center, accepts data that transmits from the lower computer, and displays, storages, analysises and statistics, at the same time controls the lower computer.

Wireless sensor network-enabled intravenous infusion monitoring

Considering that intravenous in blood infusion, usually applied without a proper control of the progress and velocity under unreliable manual monitoring practice, is the most popular and frequent clinical activity throughout the world, which can potentially endanger a patient&apos;s life, leads to a huge burden as patients, relatives and nursing staff can cause serious cases of medical negligence. In order to resolve this problem and provide a networkable solution the authors propose a novel radio frequency identification-based wireless sensor networkable intravenous infusion monitoring system. The proposed system is a wireless sensor system based on taking a fork-type light barrier as a sensor, a micro-control unit (MCU) as a ZigBee-based radio frequency device. The system&apos;s performance is evaluated through some laboratory experiments using tuning algorithm to demonstrate that the results show the required accuracy of the system to meet practical needs.

The effect of stage - based nursing intervention on the application of double C treatment of the newly diagnosed patients with type 2 diabetes mellitus

Objective To explore the effect of stage - based and individualized nursing intervention on the newly diagnosed type 2 diabetes mellitus (T2DM) patients with the combined treatment of continuous subcutaneous insulin infusion (CSⅡ) and continuous glucose monitoring system (CGMS) . Methods 60 newly diagnosed patients with T2DM were given combined therapy of CSⅡ and CGMS, meanwhile they were given stage - based and individualized nursing intervention. The clinical data of all patients were collected before and after intervention, including general indexes, blood glucose, the score of diabetic knowledge, and the clinical compliance, etc. Results The blood glucose levels of all patients were significantly improved after intervention. Furthermore, the levels of blood pressure were obviously decreased. The pass ratio of test on diabetic knowledge was obviously increased. The clinical compliances of these patients were apparently increased. Conclusions Stage - based and individualized nursing intervention is the important measure to strengthen the clinical compliances of the newly diagnosed patients with T2DM. It ensures the smooth implementation of double C treatmentcan. Furthermore, it may decrease glucotoxicity, increase self - management ability and improve lfie quality of these patients. Key words: Stage-based nursing; Continuous subcutaneous insulin infusion (CSII); Continuous subcutaneous insulin infusion; Newly diagnosed type 2 diabetic mellitus