Design and development of multi-parameter patient monitoring system with wireless communication to PC

Ekhare, Abhishek Sakharam; Chaskar, Uttam

doi:10.1109/iccicct.2014.6992923

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…The research of Lei Ru [11] focuses on a variety of wearable health monitoring modules that people use to measure their and other physiological data. A health monitoring device is present, which sends the observed physiological parameters to several computers via a wireless communication unit [12]. To improve healthcare service quality, an IoT-based monitoring system in the Intensive Care Unit (ICU) is proposed [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing

Shafi,

Din,

Farooq

et al. 2024

PLoS ONE

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With the outbreak of the COVID-19 pandemic, social isolation and quarantine have become commonplace across the world. IoT health monitoring solutions eliminate the need for regular doctor visits and interactions among patients and medical personnel. Many patients in wards or intensive care units require continuous monitoring of their health. Continuous patient monitoring is a hectic practice in hospitals with limited staff; in a pandemic situation like COVID-19, it becomes much more difficult practice when hospitals are working at full capacity and there is still a risk of medical workers being infected. In this study, we propose an Internet of Things (IoT)-based patient health monitoring system that collects real-time data on important health indicators such as pulse rate, blood oxygen saturation, and body temperature but can be expanded to include more parameters. Our system is comprised of a hardware component that collects and transmits data from sensors to a cloud-based storage system, where it can be accessed and analyzed by healthcare specialists. The ESP-32 microcontroller interfaces with the multiple sensors and wirelessly transmits the collected data to the cloud storage system. A pulse oximeter is utilized in our system to measure blood oxygen saturation and body temperature, as well as a heart rate monitor to measure pulse rate. A web-based interface is also implemented, allowing healthcare practitioners to access and visualize the collected data in real-time, making remote patient monitoring easier. Overall, our IoT-based patient health monitoring system represents a significant advancement in remote patient monitoring, allowing healthcare practitioners to access real-time data on important health metrics and detect potential health issues before they escalate.

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Section: Literature Reviewmentioning

confidence: 99%

Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing

Shafi,

Din,

Farooq

et al. 2024

PLoS ONE

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Low-cost microcontrolled based wireless heart rate and oxygen saturation monitor

Ayance

Ramírez

Pérez

et al. 2018

2018 International Conference on Electronics, Communications and Computers (CONIELECOMP)

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Biomedical health monitoring system design and analysis

Rahman¹,

Jambek²

2019

IJEECS

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<span>e-Health remote monitoring systems have bloomed rapidly with a myriad of applications. This paper discusses a design of a remote monitoring device for biomedical field. Four biomedical sensors which are electrocardiography (ECG), airflow, galvanic skin response and temperature with two boards which are the e-Health Shield Board V2.0 and Arduino Uno Board are used. The results show satisfactory output for each experiment using two test subjects. The device able to achieve high accuracy where percentage of temperature difference is less than 1% compared to the commercial devices with an average power consumption of each working sensor on board is ≤9W.</span>

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Design and development of multi-parameter patient monitoring system with wireless communication to PC

Cited by 3 publications

References 8 publications

Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing

Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing

Low-cost microcontrolled based wireless heart rate and oxygen saturation monitor

Biomedical health monitoring system design and analysis

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