Multi-sensor based in-home health monitoring using Complex Event Processing

Vaidehi, V.; Bhargavi, R.; Ganapathy, Kirupa; Hemalatha, C. Sweetlin

doi:10.1109/icrtit.2012.6206847

Cited by 12 publications

(7 citation statements)

References 10 publications

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“…The platform integrates various devices and services and provides interoperability, modularity, and reusability of service components. Using SOA, some works provided an ambient assisted living [65] [66] and integrated a vital sign monitoring and telemedicine platform [67]. A framework of health services, including bio-medical monitoring, alerts, and communication with a coordination center was presented in [68].…”

Section: Architecture Stylementioning

confidence: 99%

A survey on health monitoring systems for health smart homes

Mshali

Lemlouma

Moloney

et al. 2018

International Journal of Industrial Ergonomics

193

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Aging population ratios are rising significantly. Health monitoring systems (HMS) in smart environments have evolved rapidly to become a viable alternative to traditional healthcare solutions. The aim of HMS is to not only reduce costs but to also provide timely e-health services to individuals wishing to maintain their independence. In this way, elderly people can avoid, for as long as possible, any interaction with healthcare institutions (e.g. nursing homes and hospitals), which in turn reduces pressure on the health system. To fully realise this vision of seamless e-health services supporting people in need of them, a number of challenges that need further investigation still exist. To this end, we provide an overview of the current state of the art for smart health monitoring systems. We review HMS in smart environments from a general perspective and with a particular focus on systems for the elderly and dependent people. We look at the challenges for these systems from the perspective of developing the technology itself, system requirements, system design and modelling. We present a consolidated picture of the most important functions and services offered by HMS for monitoring and detecting human behaviour including its concepts, approaches, and processing techniques. Moreover, we provide an extensive, in-depth analysis and evaluation of the existing research findings in the area of e-health systems. Finally, we present challenges and open issues facing the smart HMS field and we make recommendations on how to improve future systems.

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Section: Architecture Stylementioning

confidence: 99%

A survey on health monitoring systems for health smart homes

Mshali

Lemlouma

Moloney

et al. 2018

International Journal of Industrial Ergonomics

193

View full text Add to dashboard Cite

show abstract

“…In this development the patient has body sensors of electrocardiogram, pressure in the blood among others, generating alerts on an anomaly present in a respective measure. Other important applications that implement SOA in the solution of the monitoring system are proposed in [ 3 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 ]; these do not monitor patients with a specific disease. The personal health system platform developed collects medical information, especially vital signs.…”

Section: Revised Soa Applicationsmentioning

confidence: 99%

“…It is important to note that a single device may be able to measure several parameters at once, as in the case of the solution presented in [ 35 ], while other solutions such as the one presented in [ 3 ] can use separate devices to measure each of the parameters. Table 3 shows in detail what parameters were measured in the proposed applications.…”

Section: Analysis From the Perspective Of Implemented Functionalitmentioning

confidence: 99%

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Applications Based on Service-Oriented Architecture (SOA) in the Field of Home Healthcare

Avila

Sanmartin

Molinares

et al. 2017

Sensors

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This article makes a literature review of applications developed in the health industry which are focused on patient care from home and implement a service-oriented (SOA) design in architecture. Throughout this work, the applicability of the concept of Internet of Things (IoT) in the field of telemedicine and health care in general is evaluated. It also performs an introduction to the concept of SOA and its main features, making a small emphasis on safety aspects. As a central theme, the description of different solutions that can be found in the health industry is developed, especially those whose goal is health care at home; the main component of these solutions are body sensor networks. Finally, an analysis of the literature from the perspectives of functionalities, security implementation and semantic interoperability is made to have a better understanding of what has been done and which are probable research paths to be studied in the future.

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“…As soon as the complex events are detected, alerts are sent to an event receiver (such as an email server) which sends the alert to all subscribers. Vaidehi et al in [131] and [132] have described a CEP-based Remote Health Monitor-…”

Section: Smart Home Sensorsmentioning

confidence: 99%

An Edge Computing-Based Complex Event Processing Technique for Sensor-Based Systems

Dhillon¹

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Complex Event Processing (CEP) on sensor-based systems often uses a mobile gateway agent to forward raw sensor data streams to a remote back-end server. Complex events that are triggered by multiple raw events are then detected at the back-end server. This approach relies on a persistent network connection between the back-end server and the mobile device. This thesis proposes an edge computing-based mobile CEP technique in which CEP is performed on the mobile edge device using an embedded CEP engine and the detected complex events are sent to the back-end server for further processing. A proof-of-concept prototype for this system has been built using a Siddhi CEP engine and a WSO 2 server. A thorough performance analysis is performed for comparing the proposed system with the back-end server-based system. The proposed system can handle intermittent network disconnections and leads to reduced user cost and energy consumption for the mobile device.

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Multi-sensor based in-home health monitoring using Complex Event Processing

Cited by 12 publications

References 10 publications

A survey on health monitoring systems for health smart homes

A survey on health monitoring systems for health smart homes

Applications Based on Service-Oriented Architecture (SOA) in the Field of Home Healthcare

An Edge Computing-Based Complex Event Processing Technique for Sensor-Based Systems

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