Design and Implementation of a Remote Monitoring Human Health System

Wang, Yue; Voronova, L. I.; Voronov, Vyacheslav I.

doi:10.1109/ieeeconf48371.2020.9078574

Cited by 21 publications

(6 citation statements)

References 7 publications

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“…To create a health monitoring system, several supporting components are needed. In (Yue et al, 2020) it is stated that a remote health monitoring system consists of 3 parts. The first is a wearable device that is used to collect and process data, including blood pressure, heart rate, and electrocardiogram data.…”

Section: Related Researchmentioning

confidence: 99%

“…This section describes how to design the system that will be used. Here, three important parts are needed in the design process of the IoT-based health monitoring system, as mentioned by (Yue et al, 2020), who developed a system for remote monitoring of human health. The three said parts are wearable device, Android mobile terminal, and cloud server.…”

Section: System Modelmentioning

confidence: 99%

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A Health Monitoring System Based on Wearable Sensor and Data Aggregator

Chandra,

Surantha

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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IoT (Internet of Things) is now a part of technology development. In utilizing the IoT technology, data aggregation can be applied. Data aggregation itself is a method that can help perform data processing in a system. Sensor technologies are widely used in health systems, in particular to help with health monitoring. A health system utilizing the technology of a smartwatch with sensors that can record body conditions and allow real-time data transmission can be developed with the help of several methods, one of which is data aggregation. To avoid data loss or lack in the midst of sending data packets, it is necessary to use a data aggregator as well as the cloud and an API to attract and send the data packets. The cloud is also a component that is quite important because it enables cloud computing as well as data storage. The data aggregator also helps reduce the transmission delay in sending data packets and compute the data that arrive from the sensors. Meanwhile, the API is widely used to carry out the process of transmitting data on an application or system, so it can be connected to a server or the cloud to manage data requests from a user to the server. It is also important to assess the source or resource used in the system, including the throughput or the amount of load that can be received by the resource.

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Section: Related Researchmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

A Health Monitoring System Based on Wearable Sensor and Data Aggregator

Chandra,

Surantha

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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“…The real-time extracted data and storage help to analyze patient health historical data, which is done using big data [15]. The classification of the patient uses physiological parameters which are extracted from the wearable sensors data [18,19]. Furthermore, these algorithms work based on digital signal processing for the ECG and extracted PPG signal [20].…”

Section: Patient Classification and Remote Monitoringmentioning

confidence: 99%

“…The real-time sensor's data allow for categorizing a patient among normal or infected ones [21] using machine learning algorithms, using previous history data, and performing analysis on this data. The IoT platform enabled sharing of the susceptible and patient conditions to the client i.e., doctors and physicians using web-based client applications [19]. Related work for patient classification and remote monitoring is shown in Table 1.…”

Section: Patient Classification and Remote Monitoringmentioning

confidence: 99%

Wearable IoTs and Geo-Fencing Based Framework for COVID-19 Remote Patient Health Monitoring and Quarantine Management to Control the Pandemic

et al. 2021

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The epidemic disease of Severe Acute Respiratory Syndrome (SARS) called COVID-19 has become a more frequently active disease. Managing and monitoring COVID-19 patients is still a challenging issue for advanced technologies. The first and foremost critical issue in COVID-19 is to diagnose it timely and cut off the chain of transmission by isolating the susceptible and patients. COVID-19 spreads through close interaction and contact with an infected person. It has affected the entire world, and every country is facing the challenges of having adequate medical facilities along with the availability of medical staff in rural and urban areas that have a high number of patients due to the pandemic. Due to the invasive method of treatment, SARS-COVID is spreading swiftly. In this paper, we propose an intelligent health monitoring framework using wearable Internet of Things (IoT) and Geo-fencing for COVID-19 susceptible and patient monitoring, and isolation and quarantine management to control the pandemic. The proposed system consists of four layers, and each layer has different functionality: a wearable sensors layer, IoT gateway layer, cloud server layer, and client application layer for visualization and analysis. The wearable sensors layer consists of wearable biomedical and GPS sensors for physiological parameters, and GPS and Wi-Fi Received Signal Strength Indicator acquisition for health monitoring and user Geo-fencing. The IoT gateway layer provides a Bluetooth and Wi-Fi based wireless body area network and IoT environment for data transmission anytime and anywhere. Cloud servers use Raspberry Pi and ThingSpeak cloud for data analysis and web-based application layers for remote monitoring based on user consent. The susceptible and patient conditions, real-time sensor’s data, and Geo-fencing enables minimizing the spread through close interaction. The results show the effectiveness of the proposed framework.

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“…The system described in [28] is based on smart-bracelets maintaining BLE and estimates the current health status of a user. However, the IPS can not monitor a current user's location.…”

Section: Hong Et Al In Their Papermentioning

confidence: 99%

The Estimation of the Potential for Using Smart-Trackers as a Part of a Medical Indoor-Positioning System

et al. 2021

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This research aims to estimate the feasibility of using smart-bracelets as a part of a medicine indoor-positioning system, to monitor the health status and location of patients in a hospital. The smart-bracelet takes on the role of a token of the system and can measure pulse, blood pressure and saturation and provide data transmission over the BLE. The distance between token and anchor was calculated by the RSSI. The position of a token and anchor relative to each other was determined by the trilateration method. The results of the research showed that the accuracy of the developed system in a static position is 1.46 m and exceeds 3 m in a dynamic position. Results of experiments showed that measurements from the smart bracelets are transmitted to the server of the system without distortion. The study results indicated that smart-bracelets could be used to locate patients inside a hospital or estimate their current health state. Given the low accuracy of systolic pressure measurement, it is recommended to develop an algorithm that will allow smooth measuring error for higher-precision estimation of the patient`s general health state. In addition, it is planned to improve the positioning algorithm.

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Design and Implementation of a Remote Monitoring Human Health System

Cited by 21 publications

References 7 publications

A Health Monitoring System Based on Wearable Sensor and Data Aggregator

A Health Monitoring System Based on Wearable Sensor and Data Aggregator

Wearable IoTs and Geo-Fencing Based Framework for COVID-19 Remote Patient Health Monitoring and Quarantine Management to Control the Pandemic

The Estimation of the Potential for Using Smart-Trackers as a Part of a Medical Indoor-Positioning System

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