AsthmaGuide: an asthma monitoring and advice ecosystem

Ra, Ho-Kyeong; Salekin, Asif; Yoon, Hee Jung; Kim, Jeremy; Nirjon, Shahriar; Stone, David J.; Kim, Sujeong; Lee, Jong Myung; Son, Sang H.; Stankovic, John A.

doi:10.1109/wh.2016.7764567

Cited by 15 publications

(23 citation statements)

References 15 publications

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“…Table 1 shows the wide variety of indicators tracked by these solutions, which is associated to the high heterogeneity level of asthma. The context-aware features of the researches are linked to: recognizing symptoms and/or triggers [15,17,20], notifying asthma patients and carers when health status is abnormal [14,16,17,19,20], showing near hospitals in emergencies [16], reminding patients to take readings [19], providing advice regarding patients' status [20], and predicting asthma attacks based on patients' context [21].…”

Section: State Of the Artmentioning

confidence: 99%

Personalisation of Context-Aware Solutions Supporting Asthma Management

Quinde

Khan

Augusto

2018

Lecture Notes in Computer Science

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Abstract. Personalisation of asthma management plans is important because asthma patients experience different triggers and symptoms as a result of the high heterogeneity level of the condition. Although this makes context-awareness suitable to support asthma management, existing context-aware solutions do not allow patients to personalise their management plans. This research proposes an approach to develop context-aware solutions allowing the personalisation of asthma management plans. It is derived on the basis of the literature review and a qualitative research that includes both asthma patients and carers. A prototype to illustrate the application of the approach is demonstrated.

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Section: State Of the Artmentioning

confidence: 99%

Personalisation of Context-Aware Solutions Supporting Asthma Management

Quinde

Khan

Augusto

2018

Lecture Notes in Computer Science

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“…Ra et al [50] developed AsthmaGuide as an ecosystem to monitor asthma and provide advice. The system collects physiological and environmental data that are sent to a smartphone hub that uploads data to the cloud.…”

Section: Existing Context-aware Systems For Asthma Managementmentioning

confidence: 99%

Context-aware solutions for asthma condition management: a survey

Quinde

Khan

Augusto

et al. 2018

Univ Access Inf Soc

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“…For designing the API set, we gathered general requirements from a number of previous works on health and home monitoring projects [17,18] and implemented necessary methods for the HealthNode API. e API uses and extends the Express library which allows developers to add necessary methods by following the conventional Express implementation rules [12].…”

Section: Healthnode Apimentioning

confidence: 99%

“…To evaluate HealthNode's design and framework, we use one of our previous works, AsthmaGuide [17], as a case study. AsthmaGuide is a monitoring system for asthma patients in which a smartphone is used as a hub for collecting indoor and outdoor environmental information and physiological data.…”

Section: Case Study: Asthmaguidementioning

confidence: 99%

HealthNode: Software Framework for Efficiently Designing and Developing Cloud-Based Healthcare Applications

Kyeong

Yoon

Son

et al. 2018

Mobile Information Systems

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With the exponential improvement of software technology during the past decade, many efforts have been made to design remote and personalized healthcare applications. Many of these applications are built on mobile devices connected to the cloud. Although appealing, however, prototyping and validating the feasibility of an application-level idea is yet challenging without a solid understanding of the cloud, mobile, and the interconnectivity infrastructure. In this paper, we provide a solution to this by proposing a framework called HealthNode, which is a general-purpose framework for developing healthcare applications on cloud platforms using Node.js. To fully exploit the potential of Node.js when developing cloud applications, we focus on the fact that the implementation process should be eased. HealthNode presents an explicit guideline while supporting necessary features to achieve quick and expandable cloud-based healthcare applications. A case study applying HealthNode to various real-world health applications suggests that HealthNode can express architectural structure effectively within an implementation and that the proposed platform can support system understanding and software evolution.

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AsthmaGuide: an asthma monitoring and advice ecosystem

Cited by 15 publications

References 15 publications

Personalisation of Context-Aware Solutions Supporting Asthma Management

Personalisation of Context-Aware Solutions Supporting Asthma Management

Context-aware solutions for asthma condition management: a survey

HealthNode: Software Framework for Efficiently Designing and Developing Cloud-Based Healthcare Applications

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