Smart Healthcare Monitoring System based on Wireless Sensor Networks

Gogate, Uttara; Bakal, J. W.

doi:10.1109/cast.2016.7915037

Cited by 27 publications

(19 citation statements)

References 5 publications

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“…Xu et al have designed in [14] an m-Health monitoring system based on a cloud computing platform consisting of three modules that cooperate to implement basic health monitoring functions. Besides, the authors in [15] worked on intelligent healthcare systems with wireless sensor networks by presenting a three-level energy-efficient model for healthcare. In this architecture, they use the Zigbee communication standard with an Arduino card.…”

Section: Introductionmentioning

confidence: 99%

New intelligent network approach for monitoring physiological parameters: the case of Benin

et al. 2020

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Benin health system is facing many challenges as: (i) affordable high-quality health care to a growing population providing need, (ii) patients' hospitalization time reduction, (iii) and presence time of the nursing staff optimization. Such challenges can be solved by remote monitoring of patients. To achieve this, five steps were followed. 1) Identification of the Wireless Body Area Network (WBAN) systems' characteristics and the patient physiological parameters' monitoring. 2) The national Integrated Patient Monitoring Network (RIMP) architecture modeling in a cloud of Technocenters. 3) Cross-analysis between the characteristics and the functional requirements identified. 4) Each Technocenter's functionality simulation through: a) the design approach choice inspired by the life cycle of V systems; b) functional modeling through SysML Language; c) the communication technology and different architectures of sensor networks choice studying. 5) An estimate of the material resources of the national RIMP according to physiological parameters. A National Integrated Network for Patient Monitoring (RNIMP) remotely, ambulatory or not, was designed for Beninese health system. The implementation of the RNIMP will contribute to improve patients' care in Benin. The proposed network is supported by a repository that can be used for its implementation, monitoring and evaluation. It is a table of 36 characteristic elements each of which must satisfy 5 requirements relating to: medical application, design factors, safety, performance indicators and materiovigilance.

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Section: Introductionmentioning

confidence: 99%

New intelligent network approach for monitoring physiological parameters: the case of Benin

et al. 2020

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“…6,7 There is a large amount of work in the literature that deals with the application of WBANs in a healthcare setting. 8,9 This research outlines the characteristics and requirements of the medical application of WBANs as well as the characteristics and design factors.…”

Section: Discussionmentioning

confidence: 99%

Modeling an Integrated Network for Remote Patient Monitoring, based on the Internet of Things for a More Preventive and Predictive Health System in West Africa

Ahouandjinou¹,

Medenou

Pecchia

et al. 2020

GlobalCE

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Background: Because of the health systems globalization, it is important to examine health systems organization in Africa, in terms of patient care, to highlight the failures and propose possible solutions. Objective: Modeling based on the Internet of Things (IoT) an Integrated Network for Monitoring Patient Data in West African Health Systems. Methodology: To achieve this, three steps have been followed. 1) Identification of the different characteristics of IoT-based health surveillance systems, WBAN systems and physiological parameters monitorable on a patient. 2) The modeling of the architecture of West African health systems in the form of a cloud of Technocentres. 3) Cross analysis between different IoT technologies, characteristics and functional requirements identified. All this is based on wireless medical sensor networks in Wireless Body Area Network (WBAN) systems. Result: This work has been used to model health systems in Africa as a remote monitoring network for patients. Conclusion: The implementation of this model of monitoring networks will be a tool for supporting large-scale decision-making for a health system in Africa. It will enable the West African health system to have an information database.

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“…In the process of collecting data, we use ARM cortex M3 Processor to monitor blood pressure, heart beat rate, body temperature and body position. And to monitor the cholesterol and Sugar we use Fiber Optic Biosensor and CGM (Continuous Glucose Monitoring) [3].…”

Section: Data Collectionmentioning

confidence: 99%

Smart health monitoring system based on internet of things with big data analytics and wireless networks

Florence¹,

Kumari²,

LeemaPriyadharshini³

2018

IJET

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The use of mobile application technologies and smart devices in the health sector has improved a lot. In this sense health monitoring has evolved using Internet of Things. Nowadays the food habits are changed because of our machine life. This paper mainly focuses on the problems occurring related to health because of food habits. This paper gives the idea for solving this problem by collecting the attributes from the human body. The attributes like cholesterol, calories, glucose, pulse, weight, Body Mass Index, water level, temperature are to be collected from the person by fixing the wearable sensor devices in the human body. After getting these attributes the analysis should be done with the existing database for giving the food recommendations. The food intake level is analyzed for providing health factors. The aim of the paper is to provide the architecture for healthy food recommendations to the persons using sensor data to the person’s mobile application.

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Smart Healthcare Monitoring System based on Wireless Sensor Networks

Cited by 27 publications

References 5 publications

New intelligent network approach for monitoring physiological parameters: the case of Benin

New intelligent network approach for monitoring physiological parameters: the case of Benin

Modeling an Integrated Network for Remote Patient Monitoring, based on the Internet of Things for a More Preventive and Predictive Health System in West Africa

Smart health monitoring system based on internet of things with big data analytics and wireless networks

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