E-health-IoT Universe: A Review

Scarpato, Noemi; Pieroni, Alessandra; Nunzio, Luca Di; Fallucchi, Francesca

doi:10.18517/ijaseit.7.6.4467

Cited by 72 publications

(57 citation statements)

References 86 publications

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“…Results show that the relationships between ECG features and model parameters present a non-linear trend and that the fitting neural networks can generalize them with an acceptable error. Considering the enormous spread of IoT devices [38], this type of system, as well as other complex systems useful for health care [39], will necessarily have to be integrated into low energy consumption portable embedded devices [40]-42] which will allow monitoring the quality of patients' health more efficiently.…”

Section: Discussionmentioning

confidence: 99%

Relationship between Mathematical Parameters of Modified Van der Pol Oscillator Model and ECG Morphological Features

Silvestri¹,

Acciarito²,

Khanal³

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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The mathematical model describes the electrical and mechanical activity of the cardiac conduction system thought set of differential equations. By changing the value of parameters included in these equations, it is possible to change the amplitude and the period of ECG waves. Although this model is a powerful tool for modeling the electrical activity of the heart, its use is often limited to those familiar with the differential equations that describe the system. The purpose of this work is to provide a system that allows generating an ECG signal using Ryzhii model without knowing the details of differential equations. First, we provide the relationships between the ECG wave features and the model parameters; then we generalize them through fitting neural networks. Finally, putting in series fitting neural network and heart model, we provide a system that allows generating a synthetic signal by setting as input only the morphological ECG feature. We computed numerical simulation in Simulink environment and implemented the fitting neural networks in Matlab. Results show that non-linear trends characterize the correlation functions between ECG morphological features and model parameters and that the fitting neural networks can generalized this trend by providing the model parameters given in input the respectively ECG feature.

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Section: Discussionmentioning

confidence: 99%

Relationship between Mathematical Parameters of Modified Van der Pol Oscillator Model and ECG Morphological Features

Silvestri¹,

Acciarito²,

Khanal³

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…In Fig. 8 [19] IV. CONCLUSIONS The term 4.0 is used to specify the current industrial revolution, not-only from the technological point of view but also from the economical, sociological and strategical point of view.…”

Section: Control -mentioning

confidence: 97%

“…The IoT devices, as said, are able to collect and share data directly with other devices through the cloud environment, providing a huge amount of information to be gathered, stored and analysed for dataanalytics processes. It has been proved that HealthCare applications represent an important field of interest for IoT devices, due to the capability of improving the access to care, reducing the cost of HealthCare and most importantly increasing the quality of life of the patients [19]. All the above-mentioned complex systems, often require complex algorithm execution that could be optimised by using distributed systems [20]- [22] or other complex techniques [23]- [26].…”

Section: Introductionmentioning

confidence: 99%

The Revolution Lean Six Sigma 4.0

Arcidiacono

Pieroni

2018

International Journal on Advanced Science, Engineering and Information Technology

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Industry 4.0 makes a factory smart by applying advanced information systems and future-oriented technologies. Today, thanks to the application of the most innovative digital technologies offered by the new Industry 4.0 paradigm, in this Fourth Industrial Revolution, there is a significant "evolution" of many methodologies of Continuous Improvement, such as, e.g., Lean Six Sigma (LSS). Most of the tools of Lean Six Sigma relies on data to know in depth problems: data is necessary to drive any process improvement. The key issue is based on data integrity and on real time data. The aim of this paper consists of proving the efficiency of the so called "Lean Six Sigma 4.0". This paper deals with engineering approaches, here applied in HealthCare environment, in order to optimise the services supply process and to reduce the waste of resources (human and/or material), while improving the Quality of Experience (QoE) of the patients. Indeed, it has been proved that the huge growth in the HealthCare costs is due to inefficient use of available resources and not-optimised service processes. Applying Lean Six Sigma 4.0 it is possible to reduce HealthCare costs, improving at the same time the QoE perceived by the patient.

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“…More recently, automatic decision-making support systems [41], [42], [43], [44], [45], [46], [47] have experimented a rapid development. In this environment, the Blockchain represents a useful instrument to record the activities and decisions by performing the proof-of-work required for adding a confirmed block to the chain.…”

Section: E Blockchain Technologymentioning

confidence: 99%

Smarter City: Smart Energy Grid based on Blockchain Technology

Pieroni¹,

Scarpato²,

Nunzio³

et al. 2018

International Journal on Advanced Science, Engineering and Information Technology

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182

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The improvement of the Quality of Life (QoL) and the enhancement of the Quality of Services (QoS) represent the main goal of every city evolutionary process. It is possible making cities smarter promoting innovative solutions by use of Information and Communication Technology (ICT) for collecting and analysing large amounts of data generated by several sources, such as sensor networks, wearable devices, and IoT devices spread among the city. The integration of different technologies and different IT systems, needed to build smart city applications and services, remains the most challenge to overcome. In the Smart City context, this paper intends to investigate the Smart Environment pillar, and in particular the aspect related to the implementation of Smart Energy Grid for citizens in the urban context. The innovative characteristic of the proposed solution consists of using the Blockchain technology to join the Grid, exchanging information, and buy/sell energy between the involved nodes (energy providers and private citizens), using the Blockchain granting ledger.

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E-health-IoT Universe: A Review

Cited by 72 publications

References 86 publications

Relationship between Mathematical Parameters of Modified Van der Pol Oscillator Model and ECG Morphological Features

Relationship between Mathematical Parameters of Modified Van der Pol Oscillator Model and ECG Morphological Features

The Revolution Lean Six Sigma 4.0

Smarter City: Smart Energy Grid based on Blockchain Technology

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