Advanced Patient Monitoring and Alert System with Auto Medicine Suggestion using Machine Learning

Visvesvaran, C; Karthikeyan, N K; Kumar, I J John Bharath; Kaviya, P.; Kaviya, Somkuan

doi:10.1109/icesc54411.2022.9885566

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…Manufacturers of PM mostly publish White Papers about their products which mainly focus on the functionality of the PM without getting into its design [7]. Universities also conduct researches on patient monitoring such as given in [8][9][10][11][12][13], however these works and others available in academic literature don't consider the hardware and software designs of a full PM for the monitoring of all vital signals. These works mainly focus on the monitoring of one or two vital signals by using simple off-the shelf-cards and implantation of simple software for receiving and sending signals.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

IJESA

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Embedded systems in the range of from a tiny microcontroller-based sensor device to mobile smart phones have vast variety of applications. However, in the literature there is no up to date system-level design of embedded hardware and software, instead academic publications are mainly focused on the improvement of specific features of embedded software/hardware and the embedded system designs for specific applications. Moreover, commercially available embedded systems are not disclosed for the view of researchers in the literature. Therefore, in this paper we first present how to design a state of art embedded system including emerged hardware and software technologies. Bedside Patient monitor devices used in intensive cares units of hospitals are also classified as embedded systems and run sophisticated software and algorithms for better diagnosis of diseases. We reveal the architecture of our, commercially available, bedside patient monitor to provide a design example of embedded systems relating to emerged technologies.

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Section: Introductionmentioning

confidence: 99%

Untitled

2023

IJESA

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GSM Enabled Patient Monitoring System Using Arduino Application for Cardiac Support

Jebakumar,

Hemalatha,

Kanna

2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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M-Vital: Aci̇l Servi̇sler Ve Covid-19 Vakalari İçi̇n Vi̇tal Parametreleri̇ Ölçmek Ve İletmek İçi̇n Uzman Si̇stem Destekli̇ Tibbi̇ Maske

ŞATIR,

KENDİRLİ

2023

Mugla Journal of Science and Technology

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Technology advanced to remote observation of patients from hospitals to homes. The aim of remote monitoring can be tracing the illness or the situation of patient. When accidents or sudden injuries occurs, time while patients are being transferred to hospital is important. Here, remote monitoring is helpful for immediate medical interventions in highly critical cases. In this study M-Vital was developed for detecting vital signs like temperature, pulse, respiration rate and saturation. Location of patient was detected via embedded GPS module. These information were automatically sent to National Emergency Call Center via SMS. Thus, possible human originated errors and time because of thrill or communication were aimed to be minimized. Besides, these vital parameters were saved and evaluated via an expert system to detect a vital problem. In case of a vital problem, emergency code was sent to National Emergency Call Center (112) or to any other special number. Another usage area of M-Vital is detection and tracing Covid-19. Temperature, respiration rate and saturation are the main symptoms. This study has a novelty since wide variety of effective parameters are included. Besides, it has a high potential for using in hospitals to ease the load of medical staff.

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Advanced Patient Monitoring and Alert System with Auto Medicine Suggestion using Machine Learning

Cited by 3 publications

References 16 publications

Untitled

Untitled

GSM Enabled Patient Monitoring System Using Arduino Application for Cardiac Support

M-Vital: Aci̇l Servi̇sler Ve Covid-19 Vakalari İçi̇n Vi̇tal Parametreleri̇ Ölçmek Ve İletmek İçi̇n Uzman Si̇stem Destekli̇ Tibbi̇ Maske

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