Internet of Medical Things (IoMT) Applications in E-Health Systems Context

Monteiro, Kayo Henrique de Carvalho; Silva, Élisson; Remigio, Émerson; Santos, Guto Leoni; Endo, Patrícia Takako

doi:10.1007/978-3-030-14647-4_1

Cited by 7 publications

(3 citation statements)

References 50 publications

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“…In particular, in some complex terrain surveying and mapping, the advantages of the intelligent digital surveying and mapping system will be infinitely magnified. At present, many experts and scholars have begun to write intelligent surveying and mapping software, which has effectively promoted the development of surveying and mapping engineering, and has also played a good role in promoting the development of actual engineering projects [17].…”

Section: Related Workmentioning

confidence: 99%

Engineering Surveying and Mapping System Based on 3D Point Cloud and Registration Communication Algorithm

Qiang¹,

Ling

2022

Wireless Communications and Mobile Computing

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In order to improve the effect of engineering surveying and mapping system, this paper improves the three-dimensional point cloud technology. The problem of inaccurate measurement results caused by complex terrain is solved. At the same time, an improved greedy projection triangulation communication reconstruction algorithm is proposed. That is, while homogenizing the point cloud density, the point cloud redundant point removal algorithm is used to remove the overlapping points. The registration algorithm is applied to the engineering system. Combined with the improved algorithm, the system framework of the engineering surveying and mapping system is constructed, and the system algorithm is verified by a simulation example. Finally, combined with the actual situation of engineering communication surveying and mapping, the performance verification of the system is designed and tested, the research results are counted, and the algorithm is evaluated. The system carries out engineering surveying and mapping through three-dimensional point cloud and improves the surveying and mapping accuracy through registration algorithm. The engineering surveying and mapping system based on three-dimensional point cloud and registration algorithm proposed in this paper has high accuracy and can meet the needs of practical engineering. The system solves the problem of inaccurate measurement results caused by complex terrain, complex terrain, and complex terrain.

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Section: Related Workmentioning

confidence: 99%

Engineering Surveying and Mapping System Based on 3D Point Cloud and Registration Communication Algorithm

Qiang¹,

Ling

2022

Wireless Communications and Mobile Computing

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“…IoMT can provide faster and lower-cost health care and greatly contribute to the goal of good health and well-being [2]. Fog computing that pushes the cloud resources to the network edge is emerging as a critical enabling technology for IoT applications to provide low-latency services and data management capabilities with high availability and quality [1].…”

Section: Introductionmentioning

confidence: 99%

“…The rapid development of Internet of Things (IoT) has spawned the emergency of new trends in the fields, such as smart grid, smart city, smart grid, and smart healthcare. As a typical application of IoT in the field of healthcare, Internet of medical things (IoMT) has attracted extensive attention from both academia and industry, especially with the world population ageing and the ever‐increasing requirement for long‐term yet controllable‐cost medical care [1]. IoMT can provide faster and lower‐cost health care and greatly contribute to the goal of good health and well‐being [2].…”

Section: Introductionmentioning

confidence: 99%

Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things

Ren

Wan

Zhu

et al. 2022

IET Information Security

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Recently, with the fast development of IoT, Internet of medical things (IoMT) has drawn wide attention from both industry and academia. However, pressing challenges exist in practical implementation of IoMT, such as service provision with stringent latency. To address the challenges, fog computing is generally employed in IoMT systems. However, it raises additional concerns of trust and security. To tackle the issue, the authors introduce the security measure of trust into this work, and a superior heterogeneous stacking ensemble learning measure for trustworthiness prediction (SEM‐TP) of fog services is proposed. Besides, to reduce unnecessary time cost incurred by unimportant features, an efficient voting‐based feature selection (FS) strategy called voting‐based feature selection method is proposed to select significant features, which is based on diverse FS measures. Extensive experiments are conducted and the results show that the proposed framework outperforms commonly used single classifiers and competing stacking models in terms of Accuracy, Precision, Recall, F1‐score, Kappa coefficient, and Hamming distance under different conditions, validating the effectiveness, robustness, and superiority of the proposed trustworthiness prediction and FS methods.

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An effective healthcare monitoring system in an IoMT environment for heart disease detection using the HANN model

V.,

2023

Computer Methods in Biomechanics and Biomedical Engineering

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Internet of Medical Things (IoMT) Applications in E-Health Systems Context

Cited by 7 publications

References 50 publications

Engineering Surveying and Mapping System Based on 3D Point Cloud and Registration Communication Algorithm

Engineering Surveying and Mapping System Based on 3D Point Cloud and Registration Communication Algorithm

Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things

An effective healthcare monitoring system in an IoMT environment for heart disease detection using the HANN model

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