Introduction

Yang, Guang‐Zhong; Aziz, Omer; Kwasnicki, Richard M.; Merrifield, Robert; Darzi, Ara; Lo, Benny

doi:10.1007/978-1-4471-6374-9_1

Cited by 3 publications

(1 citation statement)

References 115 publications

(113 reference statements)

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“…Over the past decades, the industries' capacity to miniaturise and reduce costs of semiconductors and other electronic components enabled the development of tiny and affordable computers, with a processing power that grows every year. In a similar way, improvements in wireless communication, sensor design, and energy storage technologies allowed the creation of truly pervasive Wireless Sensor Network [20]. Merging these ideas with research in the medical domain makes it possible to create integrated devices for body parameters monitoring so called Body Sensor Networks (BSN).…”

Section: Running Example: Body Sensor Networkmentioning

confidence: 99%

Enhancing context specifications for dependable adaptive systems: A data mining approach

Rodrigues

Knauss

et al. 2019

Information and Software Technology

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Context: Adaptive systems are expected to cater for various operational contexts by having multiple strategies in achieving their objectives and the logic for matching strategies to an actual context. The prediction of relevant contexts at design time is paramount for dependability. With the current trend on using data mining to support the requirements engineering process, this task of understanding context for adaptive system at design time can benefit from such techniques as well. Objective: The objective is to provide a method to refine the specification of contextual variables and their relation to strategies for dependability. This refinement shall detect dependencies between such variables, priorities in monitoring them, and decide on their relevance in choosing the right strategy in a decision tree. Method: Our requirements-driven approach adopts the contextual goal modelling structure in addition to the operationalization values of sensed information to map contexts to the system's behaviour. We propose a design time analysis process using a subset of data mining algorithms to extract a list of relevant contexts and their related variables, tasks, and/or goals. Results: We experimentally evaluated our proposal on a Body Sensor Network system (BSN), simulating 12 resources that could lead to a variability space of 4096 possible context conditions. Our approach was able to elicit subtle contexts that would significantly affect the service provided to assisted patients and relations between contexts, assisting the decision on their need, and priority in monitoring.

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Section: Running Example: Body Sensor Networkmentioning

confidence: 99%

Enhancing context specifications for dependable adaptive systems: A data mining approach

Rodrigues

Knauss

et al. 2019

Information and Software Technology

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Wearable slot antenna at 2.45 GHz for off‐body radiation: Analysis of efficiency, frequency shift, and body absorption

Fernández

Espinosa

Thiel

et al. 2017

Bioelectromagnetics

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The interaction of body-worn antennas with the human body causes a significant decrease in antenna efficiency and a shift in resonant frequency. A resonant slot in a small conductive box placed on the body has been shown to reduce these effects. The specific absorption rate is less than international health standards for most wearable antennas due to small transmitter power. This paper reports the linear relationship between power absorbed by biological tissues at different locations on the body and radiation efficiency based on numerical modeling (r ¼ 0.99). While the À10 dB bandwidth of the antenna remained constant and equal to 12.5%, the maximum frequency shift occurred when the antenna was close to the elbow (6.61%) and on the thigh (5.86%). The smallest change was found on the torso (4.21%). Participants with body-mass index (BMI) between 17 and 29 kg/m 2 took part in experimental measurements, where the maximum frequency shift was 2.51%. Measurements showed better agreement with simulations on the upper arm. These experimental results demonstrate that the BMI for each individual had little effect on the performance of the antenna. Bioelectromagnetics. 39:25-34, 2018.

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Introduction

Cited by 3 publications

References 115 publications

Enhancing context specifications for dependable adaptive systems: A data mining approach

Enhancing context specifications for dependable adaptive systems: A data mining approach

Wearable slot antenna at 2.45 GHz for off‐body radiation: Analysis of efficiency, frequency shift, and body absorption

Transforming Health Care: Body Sensor Networks, Wearables, and the Internet of Things

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