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Proceedings ArticleDOI

SMEAD: A secured mobile enabled assisting device for diabetics monitoring

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TLDR
A new healthcare paradigm named as SMEAD is introduced by developing an end-to-end secured system for assisting diabetic patients which includes wearables to monitor different parameters thus observe and predict the diabetes status of the patient.
Abstract
Wearable health devices, mobile apps and diagnostic tools revolutionize the medical field by introducing new assisting devices for patients in a way to create comfort, communication and augmented intelligence. Internet of Things involved in this transformation to provide an environment where a patient's vital parameters get transmitted by sensor devices via a gateway onto secure cloud-based platforms where it is stored, aggregated and analyzed. It also helps to store data for millions of patients and performs analysis in real time, ultimately promoting an evidence-based medicine system. Privacy and security are concerns in this environment. Based on the latest trends, this paper introduces a new healthcare paradigm named as SMEAD by developing an end-to-end secured system for assisting diabetic patients. It includes wearables to monitor different parameters thus observe and predict the diabetes status of the patient. The proposed system employs a MEDIBOX which is used to configure the dosage required and provides an alert to the users reminding them to take medication on time. In this case, the insulin dosage is maintained at suitable cooling conditions and is continuously monitored using the mentioned system. To keep all the data secure and to enable access to this data by the doctor and other trusted parties, a Blockchain-based disruptive technology is implemented which facilitates cryptographic security and formalized data access through smart contracts for medical communities. In case of an emergency like missing a dosage, abnormal blood sugar levels or any security lapse, an alert is sent to the caretakers via social networks like Twitter, Facebook or WhatsApp using mobile as a gateway which can continuously communicate the data over the internet that could save patients from fatal effects of the disease.

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References
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Journal ArticleDOI

The Internet of Things for Health Care: A Comprehensive Survey

TL;DR: An intelligent collaborative security model to minimize security risk is proposed; how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context is discussed; and various IoT and eHealth policies and regulations are addressed to determine how they can facilitate economies and societies in terms of sustainable development.
Journal ArticleDOI

Machine Learning and Data Mining Methods in Diabetes Research.

TL;DR: A systematic review of the applications of machine learning, data mining techniques and tools in the field of diabetes research with respect to a) Prediction and Diagnosis, b) Diabetic Complications, c) Genetic Background and Environment, and e) Health Care and Management with the first category appearing to be the most popular.
Proceedings ArticleDOI

Effective ways to use Internet of Things in the field of medical and smart health care

TL;DR: This work critically evaluate the existing literature, which discusses the effective ways to deploy IoT in the field of medical and smart health care, and proposes a new semantic model for patients' e-Health, named as `k-Healthcare'.
Journal ArticleDOI

The economics of eHealth and mhealth.

TL;DR: Key economic and financial questions that need to be answered in developing in-country eHealth investments are outlined, including the costs of eHealth infrastructure; regulatory structures that provide incentives at different levels of the health delivery system to encourage investment in, and use of, eHealth; and measuring the outcomes of successful eHealth utilization.
Proceedings ArticleDOI

Securing the Internet of Things: A proposed framework

TL;DR: The following research paper gives an outline of the many security worries in an Internet of things framework, dangers related to it, difficulties and techniques to avoid such security issues.
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