Thinking out of the blocks: Holochain for distributed security in iot healthcare

S Zaman, MRA Khandaker, RT Khan, F Tariq… - Ieee …, 2022 - ieeexplore.ieee.org
The Internet-of-Things (IoT) is an emerging technology that connects and integrates a
massive number of smart physical devices with virtual objects operating in diverse platforms …

[HTML][HTML] Machine learning–based analysis of encrypted medical data in the cloud: Qualitative study of expert stakeholders' perspectives

AS Alaqra, B Kane, S Fischer-Hübner - JMIR human factors, 2021 - humanfactors.jmir.org
Background: Third-party cloud-based data analysis applications are proliferating in
electronic health (eHealth) because of the expertise offered and their monetary advantage …

Using PAPAYA for eHealth-Use case analysis and requirements

AS Alaqra, E Ciceri, S Fischer-Hübner… - 2020 IEEE 33rd …, 2020 - ieeexplore.ieee.org
This paper presents an eHealth use case based on a privacy-preserving machine learning
platform to detect arrhythmia developed by the PAPAYA project that can run in an untrusted …

A Noninvasive Cardiac Output Trend Monitor Targeting Telemedicine Applications

O López, R Maestre, AL Bleda, R Ruiz… - 2020 Computing in …, 2020 - ieeexplore.ieee.org
This study aimed to investigate and validate a noninvasive affordable cardiac output (CO)
trend monitor intended for telemedicine applications. The approach of this work will widely …