Development of automated intravenous blood infusion monitoring system using load cell sensor

Ajibola, O.O.E.; Sunday, O.O.; Eyehorua, D.O.

doi:10.4314/jasem.v22i10.04

Cited by 18 publications

(14 citation statements)

References 8 publications

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“…A system for measuring the weight of an IV bottle to detect the liquid level in it using a load cell is shown in [4]. The microcontroller receives electrical signals and, on the basis of the defined parameters/response levels, activates the alarm/buzzer and displays a warning on the liquid-crystal display (LCD).…”

Section: Fluid Level Detection and Signaling Systems In IV Bottle/bagmentioning

confidence: 99%

“…The advantages of the described systems are continuous detection of IV bottle/bag fluid level [4][5][6][7][8][9][11][12][13][14], sound alarm in the patient's room [4][5][6]8,9,11,13,14], LCD for text alarms in the patient's room [4,6,9,11,13,14], alarm (sound, SMS or LCD) at the nurse room [6,7,9,12], and additional sensors for fluid level detection or monitoring of the patient's condition [6,9,12,14].…”

Section: Fluid Level Detection and Signaling Systems In IV Bottle/bagmentioning

confidence: 99%

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Smart Intravenous Infusion Dosing System

et al. 2021

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Intravenous (IV) infusion therapy allows the infusion fluid to be inserted directly into the patient’s vein. It is used to place medications directly into the bloodstream or for blood transfusions. The probability that a hospitalized patient will receive some kind of infusion therapy, intravenously, is 60–80%. The paper presents a smart IV infusion dosing system for detection, signaling, and monitoring of liquid in an IV bottle at a remote location. It consists of (i) the sensing and computation layer—a system for detection and signaling of fluid levels in the IV bottle and a system for regulation and closing of infusion flow, (ii) the communication layer—a wireless exchange of information between the hardware part of the system and the client, and (iii) the user layer—monitoring and visualization of IV therapy reception at a remote location in real time. All layers are modular, allowing upgrades of the entire system. The proposed system alerts medical staff to continuous and timely changes of IV bottles, which can have positive effects on increasing the success of IV therapy, especially in oncology patients. The prescribed drip time of IV chemotherapy for the full effect of cytostatics should be imperative.

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Section: Fluid Level Detection and Signaling Systems In IV Bottle/bagmentioning

confidence: 99%

Section: Fluid Level Detection and Signaling Systems In IV Bottle/bagmentioning

confidence: 99%

Smart Intravenous Infusion Dosing System

et al. 2021

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“…The paper [2] illustrates the RI sensing with high percentage of accuracy to measure the purity of saline. According to [4] an ideal device to automated method for saline flow monitor and keeps the track of patients heart rate and body pressure level frequently. This article also describes the control of flow rate or fluid level to the medico who can control the process from the control room.…”

Section: Fig1 Flow Control Mechanismmentioning

confidence: 99%

“…Transducers detect such a variation in resistance and final receiver node receives the electrical signals which cause a buzzer to trigger an alarm. Through the different mechanism for monitoring auto rate using Mobile communication [11], load cell sensor [4], fabricated PWM IC [2] failed to measure the parameters like saline purity level, the nutrients level to be added to saline, the response from the human, so the AI based machine learning algorithm [14] is implemented to overcome the drawbacks mentioned here. This AI based systems generally maintains the different response recorded by the sensory unit and also the data's were processed as image or extended data.…”

Section: Fig1 Flow Control Mechanismmentioning

confidence: 99%

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A Novel System Design for Intravenous Infusion System Monitoring for Betterment of Health Monitoring System using ML- AI

Kumar¹,

Ganeshbabu²,

D.V³

et al. 2020

IJITEE

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In the upswing of contemporary science we can monitor and regulate the saline flow rate. Scrupulous flow has to be retained so that risks of fore shortening the threshold level of patient’s heart rate, blood pressure and oxygen level in blood level. Intravenous infusion used intermittently in hospital has to be checked for is purity. For the change in threshold level of patient’s body condition, saline flow has to be adjusted. The assessments obtained from the patients is proceed to the centralizer controller which is connected to the cloud is updated periodically to avoid loss of reports. The updated data sets shared to the chemist and CPU so that flow rate of saline is controlled automatically in accordance to the data received. The machine learning based algorithm (SVM) is used to predict the more accurate changes on data which is obtained from patients so that the controller can act agilie. This work gives better results based on the accuracy level calculation and efficiency improvement in terms of more fast response.

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Hydrogel‐Based Real‐Time Wireless Liquid Level Monitoring System for Size‐Independent Infusion Bags

Shin

Lee

Gupta

et al. 2022

Adv Elect Materials

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exposure of medical practitioners to pathogens while facilitating efficient consultation. With the help of wearable sensors, several basic but important information such as blood pressure, temperature, and electrocardiogram can be shared with doctors at any time over the Internet, which not only facilitate real-time diagnosis but also reduces the number of direct doctor consultation, hospital stay, and hospital readmission. Intravenous (IV) drip infusion is commonly used in hospitals to treat critically ill patients. However, this procedure is laborious and requires the constant monitoring or supervision of the administration because it can last for more than an hour. It is nontrivial to continuously examine the amount of IV fluid drip, which comprises a small curative tube called a catheter that infuses a saline-based electrolyte solution into the patient's bloodstream and provides readily available nutrition to assist in the patient's recovery. Typically, the fluid inside the drip bottle is monitored by the doctor or nurse visiting the patient's bed; health professionals must replace the drip bag just before the saline solution is depleted. This procedure is tedious, and in some cases, the nurse's tasks may be disrupted, and/or additional personnel or staff may be required. In the current COVID-19 pandemic, the situation is even more complex and not a good practice. To address this issue, wireless liquid-level sensors based on capacitive-type, [5][6][7][8] load cell, [9,10] optical, [11] and infrared sensors [12] have been proposed. In the case of capacitive-type liquid-level sensors, flexible conductive plates separated by a distance in a coplanar configuration are mostly adopted. On the other hand, hydrogel-based conductors are fascinating due to their electrical conductivity, transparency, self-healable, stretchability, and tunable to desired functionality by modifying the crosslinking chemistry. Considering their high stretchability (>100%), a positive attribute, size-independent infusion bag liquid-level monitoring can be realized. Hydrogel-based devices, considering their stretchability a major functionality, such as strain sensors, [13,14] triboelectric nanogenerators, [15,16] and supercapacitors [17] have been reported to date. To the state-of-art of hydrogel-based devices, there were no reports on liquid level sensors based on hydrogel electrodes in a coplanar configuration.This paper introduces a coplanar capacitive-type liquid level sensor based on stretchable hydrogel electrodes integrated with a flexible printed circuit board (FPCB). The sensor can be attached to the outer surface of an infusion bag for real-time wireless monitoring. Regardless of the size of the infusion bag,The monitoring of saline levels during medication has become a tedious process for practitioners. Regardless of the infusion bag size, real-time wireless monitoring is essential in the healthcare medical sector. This paper demonstrates a size-independent infusion bag liquid level monitoring system based on highly stretchable (...

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Development of automated intravenous blood infusion monitoring system using load cell sensor

Cited by 18 publications

References 8 publications

Smart Intravenous Infusion Dosing System

Smart Intravenous Infusion Dosing System

A Novel System Design for Intravenous Infusion System Monitoring for Betterment of Health Monitoring System using ML- AI

Hydrogel‐Based Real‐Time Wireless Liquid Level Monitoring System for Size‐Independent Infusion Bags

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