Biological age estimation using an eHealth system based on wearable sensors

Pierleoni, Paola; Belli, Alberto; Concetti, Roberto; Palma, Lorenzo; Pinti, Federica; Raggiunto, Sara; Sabbatini, Luisiana; Valenti, Salvatore; Monteriù, Andrea

doi:10.1007/s12652-019-01593-8

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…For further information on sensors, self-tracking and monitoring, and their direct clinical applications, we refer interested readers to [ 99 ]. Other interesting areas of wearable biosensors include the use of machine learning algorithms in wearable sensors [ 100 ], biological age estimation [ 101 ], smartphone sensing [ 102 ], and IoT security for wearable sensors [ 103 ], to name a few.…”

Section: Ehealth: Advances In Mhealthmentioning

confidence: 99%

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

Alenoghena

Onumanyi

Ohize

et al. 2022

IJERPH

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The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in the study and development of eHealth systems. Although it is almost impossible to cover all aspects of eHealth in a single discussion, three critical areas have gained traction. These include the need for acceptable eHealth architectures, the development of mobile health (mHealth) technologies, and the need to address eHealth system security concerns. Existing survey articles lack a synthesis of the most recent advancements in the development of architectures, mHealth solutions, and innovative security measures, which are essential components of effective eHealth systems. Consequently, the present article aims at providing an encompassing survey of these three aspects towards the development of successful and efficient eHealth systems. Firstly, we discuss the most recent innovations in eHealth architectures, such as blockchain-, Internet of Things (IoT)-, and cloud-based architectures, focusing on their respective benefits and drawbacks while also providing an overview of how they might be implemented and used. Concerning mHealth and security, we focus on key developments in both areas while discussing other critical topics of importance for eHealth systems. We close with a discussion of the important research challenges and potential future directions as they pertain to architecture, mHealth, and security concerns. This survey gives a comprehensive overview, including the merits and limitations of several possible technologies for the development of eHealth systems. This endeavor offers researchers and developers with a quick snapshot of the information necessary during the design and decision-making phases of the eHealth system development life cycle. Furthermore, we conclude that building a unified architecture for eHealth systems would require combining several existing designs. It also points out that there are still a number of problems to be solved, so more research and investment are needed to develop and deploy functional eHealth systems.

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Section: Ehealth: Advances In Mhealthmentioning

confidence: 99%

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

Alenoghena

Onumanyi

Ohize

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“… 2019 ), and according to the miniaturization and unobtrusiveness of them, researches will benefit from their daily usage (Pierleoni et al. 2021 ).…”

Section: Ubiquitous Phenotypingmentioning

confidence: 99%

“…This provides a relevant aspect regarding additional information from individuals’ ecological experience about biological, psychological, and social phenomena (Borsboom 2017 ; Pierleoni et al. 2021 ). These phenomena comprise the multitude of psychopathology symptoms and provide daily analytical measurements to complement medical information recorded in clinics.…”

Section: Introductionmentioning

confidence: 99%

Ubiquitous computing in light of human phenotypes: foundations, challenges, and opportunities

Bavaresco

Barbosa

2022

J Ambient Intell Human Comput

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The interest in human phenotypes has leveraged interdisciplinary efforts encouraging a better understanding of the broad spectrum of psychological and behavioral disorders. Moreover, the usage of mobile and wearable devices along with unobtrusive computational capabilities provides an extensive amount of information that allows the characterization of phenotypes. This article describes the human phenotype through the lens of computational range and reviews state-of-the-art computational phenotyping. Furthermore, the article discusses computational phenotyping’s extension concerning the combination of intelligent environments and personal mobile devices, addressing technical, managerial, and ethical challenges. This combination reinforces ubiquitous computational capabilities for phenotyping as a facilitator of interdisciplinary information convergence in favor of clinical and biomedical research.

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“…In this aging society scenario the relevance of using Information and Communication Technology (ICT) for elderly people's well-being is known. Nowadays, Ambient Assisted Living (AAL) is an extremely relevant theme being related to vital state monitoring, activity recognition, balance disorder management, aging supervision (Pierleoni et al 2019a), and many other practices. In this regard, technologies should help in facing the multitude of daily life challenges.…”

Section: Introductionmentioning

confidence: 99%

A complete architecture for Ambient Assisted Living scenarios using a cross protocol proxy

Pierleoni

Belli

Palma

et al. 2023

J Ambient Intell Human Comput

Self Cite

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Nowadays, in the most developed countries, modern society is moving towards scenarios in which the self-sufficiency elderly people live alone in their homes. An automatic remote monitoring system using wearable sensors is becoming even more important in Ambient Assisted Living applications. For this type of services, it is important that IoT sensors networks, which are generally composed of devices with limited computing power and storage, implement reliable communication among sensors and the Internet. There are several specialized protocols for the Internet of Things proposed by the scientific community, each characterized by its own levels of Quality of Services. The emergence of new protocols forces the need for developing proxying systems able to intermediate among different types of networks and to translate the relative protocols. In this paper, we propose a complete architecture for monitoring and managing wearable devices, and, in particular, fall detection ones. Our system uses a cross protocol proxy and a device with CoAP and MQTT as application level protocols, while it exploits the NB-IoT at physical and data-link levels. The goal of this work is the performance evaluation of the proposed solution in terms of Throughput, Round Trip Time and Delay. The results highlight the low latency reached by the proposed system architecture thanks to the implemented protocols.

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Biological age estimation using an eHealth system based on wearable sensors

Cited by 8 publications

References 31 publications

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

Ubiquitous computing in light of human phenotypes: foundations, challenges, and opportunities

A complete architecture for Ambient Assisted Living scenarios using a cross protocol proxy

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