Attila BiróUniversity of Malaga | UMA · Faculty of Health Sciences
Attila Biró
Master of Engineering
Sports Safety :: Distant Diagnosis :: Radar Sensors :: AI @ Vision
About
13
Publications
6,995
Reads
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33
Citations
Citations since 2017
Introduction
Cotutelle Ph.D. Candidate in Health Sciences (at University of Malaga, Spain) and Computer Science (at George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Romania). Research interests: AI, Distant Diagnosis, Sports Safety, Motivational Triggers, Health Condition Prediction, Remote Sensing, Performance Sports
Additional affiliations
February 2021 - present
September 2020 - present
Position
- Researcher PhD Candidate
Description
- Cotutelle PhD Candidate: IT + Health Sciences
December 2012 - March 2022
ITware
Position
- CTO and CBDO
Description
- As CTO responsible for technology, research and development, overseeing the development of technology to be commercialised and as CBDO ensuring the business development plans, design and implementation of processes to support business growth.
Education
February 2021 - February 2026
September 2020 - September 2023
September 2001 - September 2002
Field of study
- Advanced automatic systems of management of the industrial and energetic processes
Publications
Publications (13)
BACKGROUND
In mobile application stores there are many applications focused on health. And many more appear every day. Unfortunately, few of those applications pass any type of quality control. The only way to assess its quality is the opinion of the users of those applications. This opinion is usually of a very limited and subjective scale. This m...
Through this study, we developed and validated a system for energy expenditure calculation, which only requires low-cost inertial sensors and open source R software. Five healthy subjects ran at ten different speeds while their kinematic variables were recorded on the thigh and wrist. Two ActiGraph wireless inertial sensors and a low-cost Bluetooth...
The study’s purpose was to assess the reliability of the LIS2DH12 in two different positions, using the commercial sensor Actigraph GT9X as a reference instrument. Five participants completed two gait tests on a treadmill. Firstly, both sensors were worn on the wrist and around the thigh. Each test consisted of a 1 min walk for participants to beco...
Real-time multilingual phrase detection from/during online video presentations—to support instant remote diagnostics—requires near real-time visual (textual) object detection and preprocessing for further analysis. Connecting remote specialists and sharing specific ideas is most effective using the native language. The main objective of this paper...
Background: Sedentary behavior (SB) negatively impact health and is highly prevalent in the population. Digital behavior change interventions (DBCIs) have been developed to modify behaviors such as SB by technologies. However, it is unknown which behavior change techniques (BCTs) are most frequently employed in SB as well as the effect associated w...
As a result of the COVID-19 epidemic, the Global Digital Transformation (DX) process, with its key milestones, is being rewritten. In recent years, the importance of multilingual remote diagnostics has grown significantly, and the importance of human language translators and machine translation interfaces (translator bots) is now recognized more th...
To support collaborative tools with multilingual interpretation using Artificial Intelligence (AI) enabled background for remote video diagnosis, we handle one of the hot topics nowadays: real-time multilingual translation. COVID-19 has forced an accelerated speed of Digital Transformation, highlighting the weakest points of video conference tools:...
There are a large number of mobile applications that allow the monitoring of health
status. The quality of the applications is only evaluated by users and not by standard criteria. This study aimed to examine depression-related applications in major mobile application stores and to analyze them using the rating scale tool Mobile Application Rating...
Digital health interventions may improve different behaviours. However, the rapid proliferation of technological solutions often does not allow for a correct assessment of the quality of the tools. This study aims to review and assess the quality of the available mobile applications (apps) related to interventions for low back pain. Two reviewers s...
BACKGROUND
There are a large number of mobile applications that allow monitoring of health status. The quality of the applications is only evaluated by users and not by standard criteria.
OBJECTIVE
To examine depression-related applications in major mobile application stores and analyse them using the rating scale tool MARS.
METHODS
A search of d...
Background
There are several mobile health (mHealth) apps in mobile app stores. These apps enter the business-to-customer market with limited controls. Both, apps that users use autonomously and those designed to be recommended by practitioners require an end-user validation to minimize the risk of using apps that are ineffective or harmful. Prior...
The paper presents a prototype of simple semantic model of a M2M/IoT system which can be used for SMEs, suitable to support sake brewing entrepreneurs in Fukushima. The original DAQ system is the KOJIMORI, a DPC-based sensor data management system which has already been introduced to several sake brewery plants in Japan. We made an analysis connect...
KOJIMORI is a DPC-based remote monitoring DAQ system with more than 200 installations already introduced to sake brewing, agricultural SMEs, hot springs and other applications all over Japan. The solution has been specified in Japan with a software development in Hungary. This paper describes the technology, product development and the market situa...
Questions
Questions (2)
I am interested in the Researcher SNS Profiles. Please share the missing /proposed ones and let me know your top 3 with your insights.
- ORCID
- Google Scholar
- ResearchGate (RG)
- Social Science Research Network (SSRN)
- Scopus
- Publons
- Web of Science Researcher ID
- Academia.edu
- SciProfiles
- IEEE Xplore
- JMIR
- Frontier
- Cochrane
- Wiley
- PeerJ
- Brainmap (Romanian)
- UEFISCDI (Romanian)
- e-nformation (Romanian)
Could you propose please (python-based) solution /under GNU license/ that can extract different images from a specific video - based on Structural SIMilarity (SSIM) index? Thank you!
Projects
Projects (8)
The place for conversation about SPORTS SAFETY future. Here, we are looking for an answer to how information and communication technology, with the help of artificial intelligence, can minimize the risk of injuries in sports to strengthen Sports Safety. Are there any approaches, solutions, or sensors which could predict KPIs to predict future injury events to make the sport safer?
Share innovative research with researchers and increase citations to your articles and readers. This is a suitable platform for discussions to improve the level of innovation and practicality of the articles
Shine more in the field of science and knowledge by sharing your articles in the form of this project
1. Sharing & recommending publications.
2. Connecting with colleagues.
3. Seeking new collaborations.
Внедрение на нашей планете предложенного и разработанного автором источника чистой энергии-нано-энергетики Шестого экономического уклада -единственного в мире безвредного, возобновляемого, эффективного, воспроизводимого, устойчивого и дешевого источника энергии даёт возможность выжить человечеству в замкнутом пространстве тропосферы на планете Земля в условии чрезвычайного отравления атмосферы отходами производства промышленности-отходящими газами и запредельными количествами промышленных и бытовых отходов на поверхности планеты, сохранив при этом иммунитет населения, так как топливом для предложенной Кулаковым нано энергетики новой технологической парадигмы являются все отходы жизнедеятельности самого же человечества.
