Setting the scene: Mobile and wearable technology for managing healthcare and wellbeing

Amor, James D.; James, Christopher J.

doi:10.1109/embc.2015.7320189

Cited by 21 publications

(15 citation statements)

References 6 publications

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“…There is an on-going trend in the healthcare systems to replace the old hospital-centric model with a preventive patient-centric model [2]. In the early 2000s, smart textile wearable technologies were considered strategic to lower morbidity and healthcare costs associated to chronic diseases of the circulatory system, leading to the development of garments with embedded sensors connected to personal digital assistant (PDA) portable devices [3,4,5,6,7,8,9].…”

Section: Introductionmentioning

confidence: 99%

Design and Evaluation of Novel Textile Wearable Systems for the Surveillance of Vital Signals

Trindade

Silva

Miguel

et al. 2016

Sensors

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This article addresses the design, development, and evaluation of T-shirt prototypes that embed novel textile sensors for the capture of cardio and respiratory signals. The sensors are connected through textile interconnects to either an embedded custom-designed data acquisition and transmission unit or to snap fastener terminals for connection to external monitoring devices. The performance of the T-shirt prototype is evaluated in terms of signal-to-noise ratio amplitude and signal interference caused by baseline wander and motion artefacts, through laboratory tests with subjects in standing and walking conditions. Performance tests were also conducted in a hospital environment using a T-shirt prototype connected to a commercial three-channel Holter monitoring device. The textile sensors and interconnects were realized with the assistance of an industrial six-needle digital embroidery tool and their resistance to wear addressed with normalized tests of laundering and abrasion. The performance of these wearable systems is discussed, and pathways and methods for their optimization are highlighted.

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Section: Introductionmentioning

confidence: 99%

Design and Evaluation of Novel Textile Wearable Systems for the Surveillance of Vital Signals

Trindade

Silva

Miguel

et al. 2016

Sensors

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“…In some cases, this empowerment has been highlighted in connection with the enhancement of human capabilities (Earp et al 2014;Klein et al 2015), and in relation to the promotion of an individual's self-determination (Bennett et al 2017;Taddeo and Floridi 2018;Thieme et al 2015). This approach, influenced by both moral philosophy and public health research, suggests a shift to a more patient-centric understanding of healthcare, influenced by the empowering effects of digital technologies that help users monitor and track their physical and mental health (Amor and James 2015). Such a shift may help address some of the challenges facing national healthcare systems (e.g.…”

Section: Health and Healthcarementioning

confidence: 99%

The Ethics of Digital Well-Being: A Thematic Review

2020

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This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that is good for a human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to several key social domains: healthcare, education, governance and social development, and media and entertainment. It also highlights three broader themes: positive computing, personalised human–computer interaction, and autonomy and self-determination. The review argues that three themes will be central to ongoing discussions and research by showing how they can be used to identify open questions related to the ethics of digital well-being.

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“…E NERGY harvesting promises to reduce reliance on battery charging for wearable devices, either wholly or in part, by scavenging ambient energy from the environment to power the device. Reducing reliance on battery recharging is essential as battery charging remains one of the main barriers to adoption of wearables, where battery lifetime is typically limited to a few days [1]- [3]. Moreover, wearable devices are often intended to benefit groups such as the elderly and those with cognitive impairments, meaning it is essential to make the wearable sensing automated and unobtrusive to the user [4], and energy harvesting is a key method to achieve this autonomy.…”

Section: Introductionmentioning

confidence: 99%

Estimation of kinetic energy harvesting potential for self-powered wearable devices with 67,000 participants from the UK Biobank

Beach¹,

Casson²

2021

Preprint

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Energy harvesting from human motion can reduce reliance on battery recharging in wearable devices and lead to improved adherence. However, to date, studies estimating energy harvesting potential have largely focused on small scale, healthy, population groups in laboratory settings rather than free-living environments with population level participant numbers. Here, we present the largest scale investigation into energy harvesting potential by utilising the activity data collected in the UK Biobank from over 67,000 participants. This paper presents detailed stratification into how the day of the week and participant age affect harvesting potential, as well as how the presence of conditions (such as diabetes, which we investigate here), may affect the expected energy harvester output. We process accelerometery data using a kinetic energy harvester model to investigate power output at a high temporal resolution. Our results identify key differences between the times of day when the power is available and an inverse relationship between power output and participant age. We also identify that the presence of diabetes substantially reduces energy harvesting output, by over 21%. The results presented highlight a key challenge in wearable energy harvesting: that wearable devices aim to monitor health and wellness, and energy harvesting aims to make devices more energy autonomous, but the presence of medical conditions may lead to substantially lower energy harvesting potential. The findings indicate how it is challenging to meet the required power budget to monitor diseases when energy autonomy is a goal.

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Setting the scene: Mobile and wearable technology for managing healthcare and wellbeing

Cited by 21 publications

References 6 publications

Design and Evaluation of Novel Textile Wearable Systems for the Surveillance of Vital Signals

Design and Evaluation of Novel Textile Wearable Systems for the Surveillance of Vital Signals

The Ethics of Digital Well-Being: A Thematic Review

Estimation of kinetic energy harvesting potential for self-powered wearable devices with 67,000 participants from the UK Biobank

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