Development of smart health monitoring system using Internet of Things

Savaridass, M. Pravin; Ikram, Nassar; Deepika, R.; Aarnika, R.

doi:10.1016/j.matpr.2020.03.046

Cited by 15 publications

(5 citation statements)

References 9 publications

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“…The mobile application's healthcare service system is functional as a monitor of vital signs in health services by detecting health and providing medical information in real-time [12]. For example [13], it presents a patient health monitoring system using an IoT platform to measure various physical parameters related to patient health such as temperature, blood pressure, pulse, glucose levels, and oxygen levels using worn sensors. It helps to get information about the patient's health in a short time.…”

Section: Android Application For Health Monitoringmentioning

confidence: 99%

Application of Health Detector

Taqwa¹,

Handayani²,

Husni³

et al. 2022

Atlantis Highlights in Engineering

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Nowadays, Wireless Body Area Network has an important role in health care monitoring applications. This practical method offers more advantages in monitoring patient health care remotely in real-time, for example, increasing human discipline in health care, easy to operate, flexible, and able to reduce healthcare costs. This patient health care monitoring system was developed with advances from mobile devices and Cloud IoT to measure various physical parameters regarding patient health. Physical parameters measured are body temperature, blood pressure, heart rate, and blood oxygen levels by utilizing the performance of several worn medical sensors-patient's Electronic Blood Pressure Monitor. The information collected from these sensors will be processed by Arduino Mega to be forwarded to the Cloud Server using the ESP8266 Node MCU, which is connected to Wi-Fi. The information obtained will be displayed on the android application. Therefore, this tool is more efficient in health care based on mobile application services in real-time.

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Section: Android Application For Health Monitoringmentioning

confidence: 99%

Application of Health Detector

Taqwa¹,

Handayani²,

Husni³

et al. 2022

Atlantis Highlights in Engineering

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“…Wearable sensors collect the medical information of patients and transmit them to healthcare professionals for further assessment and recommendations 7,10,11 The implementation of innovative sensing technologies such as wearable or implantable force sensors, 12 or flexible e-skin pressure sensors 13 for monitoring human physiological signs provide the infrastructure to build appealing IoMT applications. Low cost and easily implementable IoT based health monitoring systems that offer accurate measurement of heart rate, blood pressure, glucose level and other health parameters of patients are also proposed in, Moghadas et al 14 and Savaridass et al 15 Increasing demands of current IoMT-driven applications require leveraged solutions for effective health monitoring, decision making and data storage. 16 In such a context, the highly dynamic and real-time nature of IoMT systems can be enhanced by AI-based methods which can endow IoMT systems with several degrees of intelligence 17 in decision making and provide a higher degree of robustness and accessibility.…”

Section: Research Backgroundmentioning

confidence: 99%

“…The implementation of innovative sensing technologies such as wearable or implantable force sensors, 12 or flexible e-skin pressure sensors 13 for monitoring human physiological signs provide the infrastructure to build appealing IoMT applications. Low cost and easily implementable IoT based health monitoring systems that offer accurate measurement of heart rate, blood pressure, glucose level and other health parameters of patients are also proposed in, Moghadas et al 14 and Savaridass et al 15 Increasing demands of current IoMT-driven applications require leveraged solutions for effective health monitoring, decision making and data storage. 16…”

Section: Research Backgroundmentioning

confidence: 99%

Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study

Νικολαϊδου¹,

Kotronis²,

Routis³

et al. 2021

Health Informatics J

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Internet of Medical Things (IoMT) systems are envisioned to provide high-quality healthcare services to patients in the comfort of their home, utilizing cutting-edge Internet of Things (IoT) technologies and medical sensors. Patient comfort and willingness to participate in such efforts is a prominent factor for their adoption. As IoT technology has provided solutions for all technical issues, patient concerns are those that seem to restrict their wider adoption. To enhance patient awareness of the system properties and enhance their willingness to adopt IoMT solutions, this paper presents a novel methodology to integrate patient concerns in the design requirements of such systems. It comprises a number of straightforward steps that an IoMT designer can follow, starting from identifying patient concerns, incorporating them in system design requirements as criticalities, proceeding to system implementation and testing, and finally, verifying that it fulfills the concerns of the patients. To showcase the effectiveness of the proposed methodology, the paper applies it in the design and implementation of a fall detection system for elderly patients remotely monitored in their homes.

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“…Furthermore, Pandya B and their team introduced a system utilizing wearable sensors and a new cloud-based fuzzy logic system for real-time data collection and remote monitoring of physiological parameters like blood oxygen saturation and pulse, generating necessary alarms [16]. Savaridass et al [17] have developed an IoT-based intelligent health monitoring system that measures multiple physical parameters, transmitting them to the cloud and Google Sheets via a WiFi module, which then sends warning messages to doctors and relatives if any discrepancies are detected.…”

Section: Introductionmentioning

confidence: 99%

A remote sensing image object detection algorithm based on transfer learning

Dongyang Chen

2024

jes

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Addressing the limitations of conventional heart rate detectors, which solely monitor heart rate without providing alerts during critical incidents, a multifunctional heart rate detection system has been developed. This system incorporates a GD32 as the main controller and utilizes a pulse sensor for heart rate monitoring, an MLX90614 infrared temperature sensor for body temperature measurements, an MPU6050 acceleration sensor for motion posture detection, and a SIM868 module for GPS positioning and server communication. This comprehensive setup allows for real-time monitoring of the wearer's heart rate and body temperature, assessment of fall incidents based on motion posture data, and regular uploading of health data to a server. Additionally, the system is equipped with a one-touch emergency call feature. In the event of abnormal heart rate readings or a fall, it triggers an alarm, acquires GPS coordinates, and automatically dials an emergency contact number. After thorough testing and verification, the system has demonstrated full functionality with heart rate data accuracy within the expected error range, offering a reliable safety mechanism for patients while on the move.

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Development of smart health monitoring system using Internet of Things

Cited by 15 publications

References 9 publications

Application of Health Detector

Application of Health Detector

Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study

A remote sensing image object detection algorithm based on transfer learning

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