Iot Based Health Monitoring System

K.Abhinay,; D.Vignesh,; Srikar, Muppirisetty L.; Chaitanya, B. V. S. Sai

doi:10.31838/jcr.07.04.137

Cited by 54 publications

(16 citation statements)

References 4 publications

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“…IoT health screening aids in disease spread prevention as well as accurate evaluation of health status, regardless location of the doctor furthermore it is facilitating continuous health condition monitoring. The Remote Healthcare Monitoring arrangement enables patients to be observed outside of traditional hospital environments (for example, at home), and increases access to human resources offices while lowering costs [3].…”

Section: Introductionmentioning

confidence: 99%

“…In their research paper Valsalan, et al in 2020, suggested an IoT-based health tracking device with a mobile physiological screening mechanism that can continuously screen the patient's temperature, heartbeat and other specific necessary parameters. They suggested a continuous monitoring and control instrument to screen the patient status and archive the patient data in a server using a wi-fi based module remote communication [3].…”

Section: Introductionmentioning

confidence: 99%

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Smart Healthcare Monitoring System Using IoT

Mohammed

Hasan

2023

Int. J. Interact. Mob. Technol.

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The progress in communication and information technology has contributed to the creation of the Internet of Thing (IoT). Internet of Things today plays a crucial role in tracking, documenting, storing, presentation and communication in variety of fields like healthcare, smart cities, engineering, and others. Using an IoT-based monitoring system, the critical parameters of health are tracked and data transmitted via network. Data will be accessed for the benefit of the patient's current condition. This research paper focused on remote monitoring of body temperature (DS18B20), heart rate and SPO2(MAX30100), additionally the position of patient can be obtained on demand using SIM7600E GSM and GNSS HAT (Hardware attached on top) Module. Raspberry Pi 4B used as microcontroller to gather data from health parameter sensors. The data from sensors transmitted into cloud storage through a network. The proposed system uses last version of IoT microcontroller and devices were used which significantly affected the precision and speed of the whole system. A GUI cross platform mobile application was developed for presenting real-time data to both doctors and patients. The system is beneficial for synchronous monitoring of patient’s health status hence allowing urgent medical decision by doctors at right time.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Smart Healthcare Monitoring System Using IoT

Mohammed

Hasan

2023

Int. J. Interact. Mob. Technol.

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“…With the increase of average life expectancy, there is growing interest in maintaining healthy life. Particularly, various studies have been conducted to monitor healthrelated biosignals such as heart rate and breath rate using wearable devices and/or other remote medical diagnosis equipment [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

For a Clinical Application of Optical Triangulation to Assess Respiratory Rate Using an RGB Camera and a Line Laser

Jeong

Song

Lee

et al. 2022

Preprint

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This paper presents a non-contact and unrestrained respiration monitoring system based on the optical triangulation technique. The proposed system consists of a red-green-blue (RGB) camera and a line laser installed to face the frontal thorax of a human body. The underlying idea of the work is that the camera and line laser are mounted in opposite directions, unlike other research. By applying the proposed image processing algorithm to the camera image, laser coordinates are extracted and converted to world coordinates using the optical triangulation method. These converted world coordinates represent the height of the thorax of a person. The respiratory rate is measured by analyzing changes of the thorax surface depth. To verify system performance, we installed the camera and the line laser on the head and foot sides of a bed, respectively, facing toward the center of the bed. Twenty healthy volunteers were enrolled and underwent meas-urement for 100s. Evaluation results show that the optical triangulation-based image processing method demonstrates non-inferior performance to a commercial patient monitoring system with a root-mean-squared error of 0.30rpm and a maximum error of 1rpm (p > 0.05), which implies the proposed non-contact system can be a useful alternative to the conventional healthcare method

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“…Many medical errors occur because individuals are in the care of the patient or the elderly are dealing in large quantities of pills every day. This work includes creating the pillbox model using IoT and a smart health monitoring plan, design, and ADR security algorithm [1], [2]. This work is intended to address this shortcoming in the medical field.…”

Section: Introductionmentioning

confidence: 99%

Smart IOT Based Healthcare Monitoring and Decision-Making System Using Augmented Data Recognition Algorithm

Annamalai.M¹

2021

TURCOMAT

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Many medical errors occur because people are in charge of patients or elderly medications by handling large amounts of medications every day. This work consists of designing and establishing a pillbox prototype intended to address this shortcoming in medical areas. It can be used separately from the medication itself and other advanced features provided with this device by the hospital or retirement home. This medication pack aims to take most medications or vitamin supplements or stimulants that deal with over-salting or over-the-counter patients. The proposed smart pillbox contains a program that enables medical caregivers or clients to determine the pill size and timing of pills and service routine each day. In this research work, the Augmented Data Recognition (ADR) algorithm is also used to monitor humans' health conditions. Initially, the UCI dataset is used for training and validation of the proposed ADR algorithm. The heart rate, blood pressure and temperature of the patient have carried during the testing phase via the Internet of Things (IoT) setup. The testing phase estimates any abnormalities in the health status based on the information obtained by the sensor collected by the population structure. Statistical analysis is based on data obtained from a cumulative cloud from IoT devices to estimate percentage accuracy.

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Iot Based Health Monitoring System

Cited by 54 publications

References 4 publications

Smart Healthcare Monitoring System Using IoT

Smart Healthcare Monitoring System Using IoT

For a Clinical Application of Optical Triangulation to Assess Respiratory Rate Using an RGB Camera and a Line Laser

Smart IOT Based Healthcare Monitoring and Decision-Making System Using Augmented Data Recognition Algorithm

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