Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems

Chen, Min; Ma, Yujun; Li, Yong; Wu, Di; Zhang, Yin; Youn, Chan‐Hyun

doi:10.1109/mcom.2017.1600410cm

Cited by 281 publications

(127 citation statements)

References 11 publications

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“…In [4], Chen et al presented a wearable medical 2.0 system to enhance QoE and QoS for the next generation of healthcare systems. In this system, washable smart clothing, including sensors, electrodes, and leads, is the key component of cloud analytics that provide users with their physiological data and receive the health and emotional state of machinebased, intelligent users.…”

Section: Internet Of Thingsmentioning

confidence: 99%

“…In the past two decades, advanced information technologies, such as mobile communication systems [1], big data [2], Internet of Things (IoT) [3], and wearable computing [4], have been widely used in the sector of healthcare [5]. Particularly, various novel healthcare systems assisted by big data and mobile computing are developed for provide intelligent and professional services [6].…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

Wang

Zhou

et al. 2018

Wireless Communications and Mobile Computing

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It is entering an era of big data, which facilitated great improvement in various sectors. Particularly, assisted by wireless communications and mobile computing, mobile devices have emerged with a great potential to renovate the healthcare industry. Although the advanced techniques will make it possible to understand what is happening in our body more deeply, it is extremely difficult to handle and process the big health data anytime and anywhere. Therefore, data analytics and mobile computing are significant for the healthcare systems to meet many technical challenges and problems that need to be addressed to realize this potential. Furthermore, the advanced healthcare systems have to be upgraded with new capabilities such as machine learning, data analytics, and cognitive power for providing human with more intelligent and professional healthcare services. To explore recent advances and disseminate state-of-the-art techniques related to data analytics and mobile computing on designing, building, and deploying novel technologies, to enable intelligent healthcare services and applications, this paper presents the detailed design for developing intelligent healthcare systems assisted by data analytics and mobile computing. Moreover, some representative intelligent healthcare applications are discussed to show that data analytics and mobile computing are available to enhance the performance of the healthcare services.

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Section: Internet Of Thingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

Wang

Zhou

et al. 2018

Wireless Communications and Mobile Computing

Self Cite

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“…According to [10], applications of the e_healthcare system depend on the efficient system architecture which includes latest key technologies, Internet of things and big health system influenced with human-cloud integration [11], [12]. Design and performance analysis of wireless body sensor network allows patients to improve the e_healthcare problems at different levels through android [13].…”

Section: Literature Review and Backgroundmentioning

confidence: 99%

Integration of Wearable Smart Sensor for Improving e-Healthcare

Thayananthan¹,

Basuhail²

2017

ijacsa

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Abstract-Analyzing health conditions using sensors is one of the daily activities in a healthcare organization. The purpose of this research is to improve the e-healthcare formulated through the integration of wearable smart sensors and miniaturized devices. In this research, monitoring glucose level of the diabetic is considered as an example of the non-linear problem in which we show that accuracy and efficiency of e-healthcare can be achieved through Multiple-input, multiple-output (MIMO) system. In this novel technique, Pn-manifolds, which are the nonlinear mathematical approach, provide the flexible rate and enhance the accuracy and efficiency of the medical systems in the e-healthcare services.

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“…Across the world engaging people with a lived experience of health and social care services has become a recognised practice, used in monitoring innovation (Chen et al, 2017), quality health service delivery (Abernethay et al, 2017) and research credibility (Brett et al, 2014). However, terms such as service user, citizens, survivors, consumers etc., still brings an inherent inference of low social status amidst a hierarchy that exists across national health and social care services.…”

Section: Introductionmentioning

confidence: 99%

Introducing a People’s Academy into Higher Education

Hardy

Malby

Hallett

et al. 2018

HESWBL

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Purpose The introduction of a People’s Academy (PA) within the School of Health and Social Care (HSC) at London South Bank University has created ripples across the pond that is Higher Education. The paper aims to discuss this issue. Design/methodology/approach Working as a coproduction innovation hub, the PA celebrates inclusion of those with a lived experience of HSC services into the academic community as valued members of the teaching and learning team. In its second year the PA has gained attention and achieved a “highly commended” status from external regulating bodies. Findings In this paper the authors report on aspects arising from an entrepreneurial education approach. First, is the work-based learning experience students achieve within the Higher Education Institution (HEI) setting, preparing them for clinical placements and client encounters. Second are ripples of activity the PA work streams have sent throughout the academic staff via critically creative working practices as a process of entrepreneurial education. Conclusions focus on a sustainable approach to recovery and resilience (whether physical or psychological) and overall well-being that PA members recognise as a raised level of compassion for sustainable health and well-being for all. Social implications The work and enthusiasm of the PA as an authentic social engagement process rippling across the “University” experience; whether for students in the classroom or when working alongside academic staff, is identifiable in all aspects of academic activities. Most importantly is a positive gain in terms of knowledge, skills and confidence for the PA members themselves and their own well-being enhancement. Originality/value The PA approach to entrepreneurial education and work-based learning across the HEI setting is one of the first of its kind. This paper outlines core practices to achieve innovative coproduction approach that others may wish to replicate.

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Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems

Cited by 281 publications

References 11 publications

Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

Integration of Wearable Smart Sensor for Improving e-Healthcare

Introducing a People’s Academy into Higher Education

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