Bad Blood: The Tuskegee Syphilis Experiment

Application of technology roadmaps for renewable energy sector

Health monitoring and its related technologies is an attractive research area. The electrocardiogram (ECG) has always been a popular measurement scheme to assess and diagnose cardiovascular diseases (CVDs). The number of ECG monitoring systems in the literature is expanding exponentially. Hence, it is very hard for researchers and healthcare experts to choose, compare, and evaluate systems that serve their needs and fulfill the monitoring requirements. This accentuates the need for a verified reference guiding the design, classification, and analysis of ECG monitoring systems, serving both researchers and professionals in the field. In this paper, we propose a comprehensive, expert-verified taxonomy of ECG monitoring systems and conduct an extensive, systematic review of the literature. This provides evidence-based support for critically understanding ECG monitoring systems’ components, contexts, features, and challenges. Hence, a generic architectural model for ECG monitoring systems is proposed, an extensive analysis of ECG monitoring systems’ value chain is conducted, and a thorough review of the relevant literature, classified against the experts’ taxonomy, is presented, highlighting challenges and current trends. Finally, we identify key challenges and emphasize the importance of smart monitoring systems that leverage new technologies, including deep learning, artificial intelligence (AI), Big Data and Internet of Things (IoT), to provide efficient, cost-aware, and fully connected monitoring systems.

https://www.mdpi.com/1424-8220/20/6/1796/pdf

ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges.

The current study performs a systematic literature review (SLR) to synthesise prior research on the  applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 stu...

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2020.1812005

Big data analytics in healthcare: a systematic literature review

The role of constructs in psychological and educational measurement.

Informed consent is the result of tumultuous events in both the clinical and research arenas over the last 100 years. Throughout this time, the notion of informed consent has shifted tremendously, both due to advances in medicine, as well as the type of data being gathered. As such, informed consent has misaligned with the goals of medical research. It is becoming more and more vital to address this chasm, and begin building new frameworks to link this disconnect. Thus, we address three goals in this paper. First, we discuss the history of informed consent and unify the varying definitions of the term. Second, we evaluate the current research on the topic, classify them into themes, and attend to the problems therein. Lastly, we employ these themes of informed consent research mentioned previously to provide guidance and insight for future research in the arena.

Informed Consent in Biomedical Research.

While the majority of population-level genome sequencing initiatives claim to follow the principles of informed consent, the requirements for informed consent have not been-well defined in this context. In fact, the implementation of informed consent differs greatly across these initiatives - spanning broad consent, blanket consent, and tiered consent among others. As such, this calls for an investigation into the requirements for consent to be “informed” in the context of population genomics. One particular strategy that claims to be fully informed and to continuously engage participants is called “dynamic consent”. Dynamic consent is based on a personalised communication platform that aims to facilitate the consent process. It is oriented to support continuous two-way communication between researchers and participants. In this paper, we analyze the requirements of informed consent in the context of population genomics, review various current implementations of dynamic consent, assess whether they fulfill the requirement of informed consent, and, in turn, enable participants to make autonomous and informed choices on whether or not to participate in research projects.

Dynamic-informed consent: A potential solution for ethical dilemmas in population sequencing initiatives.

Towards an efficient and Energy-Aware mobile big health data architecture.

PICMET: Portland International Center for Management of Engineering and Technology, Proceedings

Social desirability bias (SDB) is the under-or over-reporting of behaviors by a respondent in order to appear more acceptable, or gain the approval of others. The presence of SDB in studies of software piracy behavior has been suspected for long. However, few studies have explicitly addressed this issue in detail. In the current article, results from a set of pilot studies are reported. These pilot studies compare software piracy behavior in experimental studies to responses of intentions to pirate in paper-based scenarios, under equivalent conditions. The comparisons provide valuable preliminary insights into the understanding of SDB in software piracy, and suggest the need to account for SDB research in software piracy studies.

Marton Gergely

Papers

Informed Consent in Biomedical Research.

Dynamic-informed consent: A potential solution for ethical dilemmas in population sequencing initiatives.

Towards an efficient and Energy-Aware mobile big health data architecture.

PICMET: Portland International Center for Management of Engineering and Technology, Proceedings

Social desirability bias in software piracy research: Evidence from pilot studies