User Feedback System for Emergency Alarms in Mobile Health Networks

Author(s):  
James Jin Kang
2014 ◽  
Vol 13 (9) ◽  
pp. 1927-1941 ◽  
Author(s):  
Linke Guo ◽  
Chi Zhang ◽  
Jinyuan Sun ◽  
Yuguang Fang

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Changhee Hahn ◽  
Hyunsoo Kwon ◽  
Junbeom Hur

Mobile health (also written as mHealth) provisions the practice of public health supported by mobile devices. mHealth systems let patients and healthcare providers collect and share sensitive information, such as electronic and personal health records (EHRs) at any time, allowing more rapid convergence to optimal treatment. Key to achieving this is securely sharing data by providing enhanced access control and reliability. Typically, such sharing follows policies that depend on patient and physician preferences defined by a set of attributes. In mHealth systems, not only the data but also the policies for sharing it may be sensitive since they directly contain sensitive information which can reveal the underlying data protected by the policy. Also, since the policies usually incur linearly increasing communication costs, mHealth is inapplicable to resource-constrained environments. Lastly, access privileges may be publicly known to users, so a malicious user could illegally share his access privileges without the risk of being traced. In this paper, we propose an efficient attribute-based secure data sharing scheme in mHealth. The proposed scheme guarantees a hidden policy, constant-sized ciphertexts, and traces, with security analyses. The computation cost to the user is reduced by delegating approximately 50% of the decryption operations to the more powerful storage systems.


Author(s):  
Luis U. Hernandez Munoz ◽  
Sandra I. Woolley

This paper presents PervaLaxis, a personal mobile health device designed to help anaphylactic people manage their life-threatening allergies. PervaLaxis was designed to support allergic patients both in everyday life and in emergency scenarios where an injection of adrenaline may be vital. PervaLaxis is implemented on a Smartphone platform and communicates wirelessly with adrenaline injectors. In emergency scenarios, PervaLaxis can detect an injection of adrenaline and send a message automatically to emergency services; in normal life PervaLaxis can support adrenaline injector training, for example with video demonstrations and can support medication management, for instance, managing adrenaline expiration dates. In this paper we present user requirements and evaluation results for PervaLaxis, furthermore we explore the issues associated with the patient-oriented focus of the device (as opposed to health devices designed for expert use) and how this could benefit personal health management. We evaluate usability performance and propose directions for future work based on user feedback.


2017 ◽  
Vol 6 (2) ◽  
pp. 110-133 ◽  
Author(s):  
Tousif Osman ◽  
Maisha Mahjabeen ◽  
Shahreen Shahjahan Psyche ◽  
Afsana Imam Urmi ◽  
J.M. Shafi Ferdous ◽  
...  

The research introduces an adaptive food searching and recommending engine by taste and user preference using fuzzy logic. In contrast with existing system where food is searched by predefined keywords, this system searches food by its taste and users' preference which allows the system to provide better results. As food taste cannot be measured and user's preference is relative to each user, the authors have used concepts of artificial intelligence (AI) and fuzzy logic to better understand and deal the abstractness of these parameters. Along with food taste the authors have considered restaurant's environment, location, review and user's budget as searching parameters. The system includes a fuzzy database where food items of different restaurants with the specific parameters have been stored and gets updated by user feedback. System also maintains a user profile for individual user to adapt with individual user's choice of preference.


Author(s):  
M Monsberger ◽  
D Koppelhuber ◽  
V Sabol ◽  
H Gursch ◽  
A Spataru ◽  
...  

2020 ◽  
Author(s):  
Alaitz Zabala Torres ◽  
Joan Masó Pau ◽  
Xavier Pons

<p>First approach to metadata was based on producer's point of view, since producers were responsible for documenting and sharing metadata about their products. Since 2012 (started in EU FP7 GeoViQua project), the Geospatial User Feedback approach described the user perspective on datasets/services (GUF, OGC standard in 2016). In the past users of the data gained knowledge about and with the data, but they lacked the means to easily and automatically share this knowledge in a formal way.</p><p>In the EU H2020 NextGEOSS project, the NiMMbus system has been matured as an interoperable solution to manage and store feedback items following the OGC GUF standard. NiMMbus can be used as a component for any geospatial portal, and, so far, has been integrated in several H2020 project catalogues or portals (NextGEOSS, ECOPotential, GeoEssential and GroundTruth2.0).</p><p>User feedback metadata complements producer's metadata and adds value to the resource description in a geospatial portal by collecting the knowledge gained by the user while using the data for the purpose originally foreseen by the producer or an innovative one.</p><p>The current GEOSS platform provide access to endless data resources. But to truly assist decision making, GEOSS wants to add a knowledge base. We believe that the NiMMbus system is a significant NextGEOSS contribution is this direction.</p><p>This communication describes how to extend the GUF to provide a set of knowledge elements and connect them to the original data creating a network of knowledge. They can be citations (publications and policy briefs), quality indications (QualityML vocabulary and ISO 19157), usage reports (code and analytical processes), etc. The NiMMbus offers tools to create different levels of feedback starting with comments, providing citations or extract quality indicators for the different quality classes (positional, temporal and attribute accuracy, completeness, consistency) and share them to other users as part of the user feedback and usage report. Usage reports in GUF standards can be extended to include code fragments that other users can apply to reproduce a previous usage. For example, in ECOPotential Protected Areas from Space map browser (continues on H2020 e-Shape project) a vegetation index optimum to observe phenological blooms can be encoded by a user in the layer calculation using a combination of original Sentinel-2 bands. The portal stores that in a JavaScript code (serialized as JSON) that describes which layers and formula were used. Once a user validated the new layer, can decide to make it available to everyone by publishing it as an open source JavaScript code in the NiMMbus system. From then on, any other user of the portal can import it and use it. As the usage description is a full feedback item, the user creating the dynamic layer can also describe any other related information such as comments or advertise a related publication.</p><p>The system moves the focus to sharing user of the data and complements the producers documentation with the richness of the knowledge that user gain in their data driven research. In addition to augment GEOSS data the system enables a social network of knowledge.</p>


BMJ Open ◽  
2017 ◽  
Vol 7 (6) ◽  
pp. e017743 ◽  
Author(s):  
Bassey Ebenso ◽  
Rumana Huque ◽  
Zunayed Azdi ◽  
Helen Elsey ◽  
Shammi Nasreen ◽  
...  

Author(s):  
Oliver C. Wells ◽  
Mark E. Welland

Scanning tunneling microscopes (STM) exist in two versions. In both of these, a pointed metal tip is scanned in close proximity to the specimen surface by means of three piezos. The distance of the tip from the sample is controlled by a feedback system to give a constant tunneling current between the tip and the sample. In the low-end STM, the system has a mechanical stability and a noise level to give a vertical resolution of between 0.1 nm and 1.0 nm. The atomic resolution STM can show individual atoms on the surface of the specimen.A low-end STM has been put into the specimen chamber of a scanning electron microscope (SEM). The first objective was to investigate technological problems such as surface profiling. The second objective was for exploratory studies. This second objective has already been achieved by showing that the STM can be used to study trapping sites in SiO2.


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