{"id":32536,"date":"2024-05-28T15:49:22","date_gmt":"2024-05-28T15:49:22","guid":{"rendered":"https:\/\/essays.homeworkacetutors.com\/2024\/05\/i002-essay\/"},"modified":"2024-05-28T15:49:22","modified_gmt":"2024-05-28T15:49:22","slug":"i002-essay","status":"publish","type":"post","link":"https:\/\/www.colapapers.com\/us\/i002-essay\/","title":{"rendered":"I002 Essay"},"content":{"rendered":"
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GLUCOSE BOTTLE MONITORING SYSTEM USING IOT<\/p>\n

Mrs. Sasikala R[1] ,Achari Monica S [2] , Akhila N S [3] , Nishathul Aprosa S[4] ,Padma Priya S[5]<\/p>\n

[1]Assistant Professor, Department of Computer Science and Engineering,<\/p>\n

[2][3][4][5]Final Year, Department of Computer Science and Engineering,<\/p>\n

VSB College of Engineering Technical Campus, Coimbatore.<\/p>\n

ABSTRACT: Saline, one of the most popular intravenous (IV) therapy which plays a major role in the patients management who are critically ill. Surveillance of drip bottle level is very important because when the bottle is emptied and the needle is not removed from the vein then the blood flows outward into the bottle.<\/p>\n

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In hospitals, the nurses or caretakers are responsible for monitoring the saline bottle level. The aim is to design an Intravenous Drip Sensor, using a capacitive probe to measure infusion rate, and display the number of drops passing through the drip chamber per minute i.e. the drip rate. If nurses working in hospitals forgot to change the glucose drip bottle once it is emptied, it will bring bad consequences to the patient .<\/p>\n

<\/div>\n

We will find the level of glucose in the glucose drip bottles that are used in the hospitals. When the glucose bottle is about to be emptied, an alert message is made to send to the nurses, doctors and attenders. The monitoring screen gets the information from observing gadgets and displays them graphically.<\/p>\n

I. INTRODUCTION<\/h2>\n

Saline level is one of the important challenges related to the management of healthcare [1]. Almost in every hospital, a nurse\/caretakers is responsible to keep an eye on the saline level and if they fail to monitor this, patients suffer a lot. Drip bottle when emptied and if the needle is not removed from the patient\u0092s vein or if the bottle is not replaced then due to the pressure difference, the blood flows outward into the bottle or the air bubbles may block the veins which may lead to serious casualty[7]. Even though there are lots of advanced devices to automate health care systems there is a serious issue to ensure the safety of the patients during IV period. So this system eliminates the need to manually monitor the level of saline water in bottle. This system uses weight sensors to determine the weight of bottle and flow sensors to determine number of drops passing through the drip chamber per minute i.e. the drip rate[8]. Therefore data collected by the sensors are sent to Arduino Uno and it processes it. SMS alert is send to caretakers using GSM(Global System for Mobile Communication) module.<\/p>\n

II. EXISTING SYSTEM<\/h2>\n

Almost 80% of patients in hospitals are provided with saline water; therefore this system focuses on serious life threatening complications during intravenous therapy which is serious life threat[5]. If the drip bottles are not replaced with the new ones by time it may lead to reverse flow of blood into the drip bottles, it is known that it takes only few minutes to lose 40% of human blood which may even lead mortality[6]. So, this system made use of flexible sensors to propose a cloud computing based warning tool[4]. A remote monitoring device or mobile device is used to identify the risk level via a wireless network and cloud computing[9]. The flexible sensors are arranged in two array patterns for detection purpose. A virtual alarm unit can be employed as a early warning unit in an embedded system or tablet PC. The BHAM (Bidirectional Hetero-Associative Memory) constructs such a virtual alarm unit.<\/p>\n

III. DESCRIPTION<\/h2>\n

PROPOSED SYSTEM<\/h2>\n

In recent years, there is a rapid growth in the in the field of medicine due to gradual advancements in the field of sensors, microprocessors and computers. This system is used to detect the volume of saline water in the glucose bottle by the use of weight sensors also flow sensor is used for continuous monitoring of flow rate in glucose bottle. Thus the status of the bottle will be intimated to the respective nurses or caretakers, patients attenders and the doctor. The amount of solution in the bottle can also be viewed graphically by both nurses and the attenders. This system will generate message by use of GSM module under following situations,<\/p>\n

When liquid level in glucose bottle is full, alerts as \u0093 FULL\u0094<\/p>\n

When liquid level in glucose bottle is reduced to 50%, alerts as \u0093 ALERT \u0093<\/p>\n

When liquid level in glucose bottle is reduced to 10% ,alerts as \u0093CRITICAL\u0094<\/p>\n

S.NO LEVEL MESSAGE<\/h2>\n

1. 100% FULL<\/p>\n

2. 50% ALERT<\/p>\n

3. 10% CRITICAL<\/p>\n

Glucose bottle<\/h2>\n

Glucose bottle bbbbbbottle<\/h3>\n

Weight Sensor & Flow sensors<\/h3>\n

fl<\/p>\n

Arduino board<\/h2>\n

GSM<\/p>\n

Alert message via SMS<\/h2>\n

Fig.1 Basic process of proposed system<\/p>\n

IV.IMPLEMENTATION<\/h2>\n

Weight sensor<\/h2>\n

Arduino UNO<\/h2>\n

GSM<\/p>\n

Flow sensor<\/h2>\n

Fig .2. Block Diagram<\/h2>\n

This system consists of three main modules<\/p>\n

SENSOR MODULE<\/h2>\n

Weight Sensor: The weight sensor is used to get current weight or volume of the saline water in the glucose bottle. The level of liquid inside the bottle can be easy predicted.<\/p>\n

Fig . 3. Weight sensor to detect the volume<\/p>\n

Flow Sensor: It is a sensor which uses a capacitive probe to measure infusion rate, and display the number of drops passing through the drip chamber per minute i.e. the drip rate.<\/p>\n

Fig. 4. Flow Sensor to measure flow rate<\/p>\n

ARDUINO UNO MODULE<\/h2>\n

Arduino Uno board is a microcontroller based on ATmega328, which has 14 digital input\/output pins from which it has 6 analog input pins, a USB connection, a crystal oscillator of 16 MHz and a power jack. The Arduino UNO receives data continuously from sensors.<\/p>\n

Fig .5. Arduino UNO to receive ad process data<\/p>\n

GSM Module<\/h2>\n

Human can contact the system through GSM. The GSM module is used to alert the nurses, attenders of patients and the doctors through SMS which will be received with the help the SIM (Subscriber Identification Module)card.The GSM module is interfaced with the Arduino UNO for this purpose.<\/p>\n

Fig .6. GSM module for sending SMS<\/h3>\n

V.CONCLUSION<\/h2>\n

Thus, this system provides an efficient means to ease the work of nurses and offers more flexibility to doctors. This is mainly based on GSM technology for providing alerts describing about the three levels of liquid in the bottle besides this it enhances the care towards patients.<\/p>\n

VI. FUTURE ENHANCEMENTS<\/h3>\n

This system can be deployed on a large scale with numerous number of patients in a wing and also the same idea can be implemented to have an automatic control over the flow of glucose\/drip bottle.<\/p>\n

VII.REFERENCES<\/h2>\n

[1] K. Azumi, H. Shiozaki , Y. Takatuka, et al, \u0093About the infusion solution monitor which we devised,\u0094 The Journal of Japanese Medical Instruments, vol. 44, 1974, pp. 465-467.<\/p>\n

[2] K. Iida and T. Mizuno, \u0093A study on the dripping speed of infusion,\u0094 Bulletin of Chiba College of Health Science, 1986, pp. 55-60.<\/p>\n

[3] W. M. Caldwel A. W. Hahn l H. Maki H. Ogawa, and Y. Yonezawa, \u0093A new drip infusion monitoring system,\u0094 Proceedings of 47th Annual Rocky Mountain Bioengineering Symposium 2010, 2010, pp. 110\u0096116.<\/p>\n

[4] X. Wen, \u0093Design of medical infusion monitor and protection system based on wireless communication technology,\u0094 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application, vol. 02, 2008, pp. 755-759.<\/p>\n

[5] Y. Isamoto, G. Sugihara, D. Yamashita, O. Yamaga, et al,\u0093Investigation about the natural fall-style infus on solution set flow quantity precision,\u0094 The Japanese Journal of Medical Instrumentation, vol.73, 2003, pp. 519-520.<\/p>\n

[6] GSM module: <\/p>\n

[7] P. Agrawal, T. Cordero, B. Jiang, F. Kaufman H. Neemuchwala, and A. Phukan, F. Kaufman, A. Zhong, \u009363-or \/ 63 \u2013 sugar.iq insights: An innovative personalized machine-learning model for diabetes management,\u0094 77th Scientific Sessions, American Diabetes Association, July 2017.<\/p>\n

[8] W. He, S. Li, and , L. D. Xu \u0093Internet of things in industries: A survey,\u0094IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2233\u00962243, 2014.<\/p>\n

[9] M. Hossain S. M. R. Islam, D. Kwak, M. H. Kabir, and K. sup Kwak,\u0093The internet of things for health care: A comprehensive survey,\u0094 IEEE Access, vol. 3, 2015.<\/p>\n

[10] M. Ali, I. Ben Dhaou, T. Nguyen gia, A P. Liljeberg, and H. Tenhunen, M.A. Rahmani, T. Westerlund \u0093An IOT-based continuous glucose monitoring system: A feasibility study,\u0094 in 8th Elsevier International Conference on Ambient Systems, Networks and Technologies, 2017, pp. 327\u0096334.<\/p>\n

[11] M. D?rmuth and D. M. Freeman,\u0093Deniable encryption within eligible detection probability: An interactive construction,\u0094in EUROCRYPT, 2011, pp. 610\u0096626.<\/p>\n

[12] D. P. Utomo et al., \u0094CLC (Cellular Lightweight Concrete) brick making process using neural network and extreme learning method based on microcontroller and Visual Studio.Net,\u0094 2017 International Symposium on Electronics and Smart Devices (ISESD), Yogyakarta, 2017, pp. 79-84<\/p>\n

[13] Lei Yu, Yang Lu & XiaoJuan Zhu, Smart Hospital Based on Internet of Things, Journal Of Networks, Vol 7, No. 10, 2012.<\/p>\n

[14] Hunkeler U., Truong H.L., and Standford-Clark A., MQTT-S \u2013 a pub-lish\/subscribe protocol for wireless sensor networks, in Proceedings of the 3rd IEEE\/Create-Net International Conference on Communication System Software and Middleware (COM-SWARE 08), pp 791-798, Bangalore, India, January 2008.<\/p>\n

[15] Ram Kumar S, Saravana Kumar S,Sukumar M, Remote Monitoring The Glucose Bottle Level In Hospitals, International Conference on Emerging Trends in Applications of Computing, 2017.<\/p>\n

[16] Kalpana Devi.S , Mithuna.S, Priyadharshini.R Suthanthira Vanitha.N., Vasanth Kumar.U Automatic Intravenous Fluid Level Indication System for Hospitals, International Journal for Research in Applied Science & Engineering Technology, Vol 3, Issue VIII, 2015.<\/p>\n<\/article>\n","protected":false},"excerpt":{"rendered":"

GLUCOSE BOTTLE MONITORING SYSTEM USING IOT Mrs. Sasikala R[1] ,Achari Monica S [2] , Akhila N S [3] , Nishathul Aprosa S[4] ,Padma Priya S[5] [1]Assistant Professor, Department of Computer Science and Engineering, [2][3][4][5]Final Year, Department of Computer Science and Engineering, VSB College of Engineering Technical Campus, Coimbatore. ABSTRACT: Saline, one of the most popular […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5964,6839,6840,6291],"tags":[5881,5297,5289,5296,5295],"class_list":["post-32536","post","type-post","status-publish","format-standard","hentry","category-free-essay","category-sample-thesis-topics","category-thesis-writing-service","category-write-a-paper-free-essay","tag-custom-dissertation-writing-service-get-help-from-ph-d-essayservice","tag-essay-writing-online-dissertation-help-accounting-dissertation","tag-tutors-online-homework-help-best-homework-helper","tag-write-a-dissertation-academic-dissertation-writing-service","tag-write-my-dissertation-for-me-online-help-from-phd-papers-owl-research"],"_links":{"self":[{"href":"https:\/\/www.colapapers.com\/us\/wp-json\/wp\/v2\/posts\/32536","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.colapapers.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.colapapers.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.colapapers.com\/us\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.colapapers.com\/us\/wp-json\/wp\/v2\/comments?post=32536"}],"version-history":[{"count":0,"href":"https:\/\/www.colapapers.com\/us\/wp-json\/wp\/v2\/posts\/32536\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.colapapers.com\/us\/wp-json\/wp\/v2\/media?parent=32536"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.colapapers.com\/us\/wp-json\/wp\/v2\/categories?post=32536"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.colapapers.com\/us\/wp-json\/wp\/v2\/tags?post=32536"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}