An Intelligent and Smart Environment Monitoring System for Healthcare

Sattar, Hina; Bajwa, Imran Sarwar; UlAmin, Riaz; Mahmood, Aqsa; Anwar, Waheed; Kasi, Bakhtiar; Kazmi, Rafaqut; Farooq, Umar

doi:10.3390/app9194172

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…The sensor data are analysed by a trained model to predict the environment feasibility for wounds in three different environments with excellent accuracy. In this work, a modified software architecture has been developed which is more cloud oriented [33].…”

Section: Related Workmentioning

confidence: 99%

A Novel Software Architecture Solution with a Focus on Long-Term IoT Device Security Support

et al. 2021

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This paper presents a solution for upgrading a previous device model to an Industry 4.0 smart device, with the goal of maintaining high compatibility. A novel IoT architecture is presented that satisfies the characteristics of a smart device. We analysed existing IoT architectures and proposed a new architecture to achieve long-term security and usability. To ensure long-term security, we eliminated the possibility of device configuration outside the immediate vicinity of the device with a dedicated protocol. The security concepts of the existing architectures were also analysed and further modified. To improve compatibility with previous device models, we propose a new method to collect data from sensors by introducing a multithreaded microcontroller. We propose additional software components to ensure factory programming, maintenance, and cloud Big Data analysis. Based on our experiments, we adapted the algorithm to increase the accuracy of the temperature and flow sensors by using a temperature calibration device and known flow cycles. Measurement results are presented to confirm the successful upgrade. We designed a hardware architecture to ensure compatibility with previous and future device models. Issues with previous sensors encountered during the upgrade were discussed and resolved. A novel software architecture based on security for long-term IoT devices is proposed.

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Section: Related Workmentioning

confidence: 99%

A Novel Software Architecture Solution with a Focus on Long-Term IoT Device Security Support

et al. 2021

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“…Selection of papers were made based on a varying spectrum of smart buildings deemed to be of prime importance so that a holistic overview of technologies embedded in smart buildings are provided. Examples included security systems, [54,55] users' thermal comfort [48], blockchain technology [42] and external environment monitoring system in smart buildings [56].…”

Section: Systematic Analysis Of Smart Buildingsmentioning

confidence: 99%

Smart Built Environment Including Smart Home, Smart Building and Smart City: Definitions and Applied Technologies

Karimi¹,

Farahzadi²,

Sepasgozar³

et al. 2021

Advances and Technologies in Building Construction and Structural Analysis

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Technology, particularly over the past decades, has affected the cities and their components, such as building sectors. Consequently, smart building that has currently utilized various technologies which is incorporated into buildings is the core of the present chapter. It provides a comprehensive overview on smart cities, smart buildings and smart home to address what systems and technologies have been incorporated so far. The aim is to review the smart concepts in built environment with the main focus on smart cities, smart buildings, and smart homes. State-of-the-art and current practices in smart buildings were also reviewed to enlighten a set of directions for future studies. The Chapter is primarily focuses on 51 articles in smart buildings/homes, as per collected from various datasets. It represents a summary of systems utilized and incorporared into smart buildings and homes over the past decade (2010–2020). Additional to different features of smart buildings and homes, is the discussion around various fields and system performances currently utilized in smart buildings/homes. Limitations and future trends and directions is also discussed. In total, such building/home systems were categorized into 6 groups, including: security systems, healthcare systems, energy management systems, building/home management systems, automation systems, and activity/movement recognition systems. Furthermore, there are a number of surveys which investigated the user’s acceptance and adoption of the new smart systems in homes and buildings, as presented and summarized thereafter in Tables. The present Chapter is a contribution to a better understanding of the functions and performances of such buildings/homes for further implementation and enhancement so that varying demands of smart citizens are fulfilled and eventually contribute to the development of smart cities.

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“…is process begins with a "fuzzy neuron," and the process of the fuzzy neuron is divided into two steps as follows [42]:…”

Section: Fuzzy Logic-based Smart Healthcare Monitoring and Managementmentioning

confidence: 99%

An Intelligent IoT Based Healthcare System Using Fuzzy Neural Networks

Hameed

Bajwa

Ramzan

et al. 2020

Scientific Programming

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Healthcare facilities in modern age are key challenge especially in developing countries where remote areas face lack of high-quality hospitals and medical experts. As artificial intelligence has revolutionized various fields of life, health has also benefited from it. The existing architecture of store-and-forward method of conventional telemedicine is facing some problems, some of which are the need for a local health center with dedicated staff, need for medical equipment to prepare patient reports, time constraint of 24–48 hours in receiving diagnosis and medication details from a medical expert in a main hospital, cost of local health centers, and need for Wi-Fi connection. In this paper, we introduce a novel and intelligent healthcare system that is based on modern technologies like Internet of things (IoT) and machine learning. This system is intelligent enough to sense and process a patient’s data through a medical decision support system. This system is low-cost solution for the people of remote areas; they can use it to find out whether they are suffering from a serious health issue and cure it accordingly by contacting near hospitals. The results of the experiments also show that the proposed system is efficient and intelligent enough to provide health facilities. The results presented in this paper are the proof of the concept.

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An Intelligent and Smart Environment Monitoring System for Healthcare

Cited by 8 publications

References 31 publications

A Novel Software Architecture Solution with a Focus on Long-Term IoT Device Security Support

A Novel Software Architecture Solution with a Focus on Long-Term IoT Device Security Support

Smart Built Environment Including Smart Home, Smart Building and Smart City: Definitions and Applied Technologies

An Intelligent IoT Based Healthcare System Using Fuzzy Neural Networks

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