SmartHealth: IoT-Enabled Context-Aware 5G Ambient Cloud Platform

Shafqat, Farzana; Khan, Muhammad Naeem; Shafqat, Sarah

doi:10.1007/978-981-15-9897-5_3

Cited by 8 publications

(2 citation statements)

References 30 publications

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“…The purpose of developing and implementing smart watches wireless-based system for health monitoring that reads several vital parameters and then makes a selection based on a methodology that requested the server to contact the necessary person in the event of an emergency [ 17 ]. The system gathers information about the patient by employing several sensors and then transmits that information in real-time to a cloud server by way of an Arduino controller.…”

Section: Related Workmentioning

confidence: 99%

Smart Health Monitoring System with Wireless Networks to Detect Kidney Diseases

Rathee¹,

Vinmathi²,

Priya³

et al. 2022

Computational Intelligence and Neuroscience

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It is essential to change health services from a hospital to a patient-centric platform since medical costs are steadily growing and new illnesses are emerging on a worldwide scale. This study provides an optimal decision support system based on the cloud and Internet of Things (IoT) for identifying Chronic Kidney Disease (CKD) to provide patients with efficient remote healthcare services. To identify the presence of medical data for CKD, the proposed technique uses an algorithm named Improved Simulated Annealing-Root Mean Square -Logistic Regression (ISA-RMS-LR). The four subprocesses that make up the proposed model are a collection of data, preprocessing, feature selection, and classification. The incorporation of Simulated Annealing (SA) during Feature Selection (FS) enhances the ISA-RMS-LR model’s classifier outputs. Using the CKD benchmark dataset, the ISA-RMS-LR model’s efficacy has been verified. According to the experimental findings, the proposed ISA-RMS-LR model effectively classifies patients with CKD, with high sensitivity at 99.46%, accuracy at 99.26%, Specificity at 98%, F-score at 99.63%, and kappa value at 98.29%. The proposed system has many benefits including the fast transmission of medical data to the medical personnel, real-time tracking, and registration condition of the patient through a medical record. Potential enhancement of the performance measures the provider system’s hospital capacity and monitoring of a significant number of patients with a concentrated average delay.

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Section: Related Workmentioning

confidence: 99%

Smart Health Monitoring System with Wireless Networks to Detect Kidney Diseases

Rathee¹,

Vinmathi²,

Priya³

et al. 2022

Computational Intelligence and Neuroscience

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“…16 For a more extensive list of example projects, please see [88]- [91] For a wholistic survey, please refer to [92].…”

Section: Devices and Sensormentioning

confidence: 99%

The Intelligent Built-Environment as Cyber-Physical System

Liu Cheng

2024

Architecture and the Built Environment

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This thesis presents an alternative approach to intelligence in the built-environment, departing from the two established yet divergent branches in the discourse: the Technical, centered around Information and Communication Technologies (ICTs), and represented by Ambient Intelligence (AmI) and Ambient Assisted Living (AAL); and the Architectural, centered around architectural / spatial experiences and considerations, and represented by Interactive Architecture and Adaptive Architecture. The promise of both AmI/AAL and IA/AA is constrained by rigid and increasingly outdated assumptions in their approaches—i.e., AmI’s / AAL’s approach to the built-environment, and IA’s / AA’s approach to ICTs. Moreover, it is impossible to combine them to yield a cohesive system due to disparity in their typical Technology Readiness Levels. That is, the sophistication of a system depends on that of its mutually complementing subsystems; and two or more subsystems may not mutually complement, sustain, and/or support one another if their levels of development do not correspond. Consequently, the presented alternative conceives the intelligent built-environment as a Cyber- Physical System. Under this approach, ICTs and Architectural considerations in conjunction instantiate intelligence fundamentally. The presented approach’s promise is illustrated via its application to a constrained use-case focused on the elderly. Twelve proof-of-concept demonstrators are developed based on key parameters pertaining to Indoor Environmental Quality and Quality of Life. While each demonstrator is presented as a discrete proof-of-concept, all build on the same core System Architecture and technological ecosystem, and are intended to be viewed as a collection of systems and services expressed within a same hypothetical environment.

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