Deep learning in cardiology

P Bizopoulos, D Koutsouris - IEEE reviews in biomedical …, 2018 - ieeexplore.ieee.org
The medical field is creating large amount of data that physicians are unable to decipher
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …

Post-market surveillance of medical devices: A review

A Badnjević, LG Pokvić, A Deumić… - … and Health Care, 2022 - content.iospress.com
BACKGROUND: Medical devices (MDs) represent the backbone of the modern healthcare
system. Considering their importance in daily medical practice, the process of …

Evidence-based clinical engineering: Machine learning algorithms for prediction of defibrillator performance

A Badnjević, LG Pokvić, M Hasičić, L Bandić… - … Signal Processing and …, 2019 - Elsevier
Poorly regulated and insufficiently supervised medical devices (MDs) carry high risk of
performance accuracy and safety deviations effecting the clinical accuracy and efficiency of …

The inadequacy of regulatory frameworks in time of crisis and in low-resource settings: personal protective equipment and COVID-19

L Pecchia, D Piaggio, A Maccaro, C Formisano… - Health and …, 2020 - Springer
COVID-19 pandemic is plaguing the world and representing the most significant stress test
for many national healthcare systems and services, since their foundation. The supply-chain …

Predictive maintenance in healthcare system: a survey

O Manchadi, FE Ben-Bouazza, B Jioudi - IEEE Access, 2023 - ieeexplore.ieee.org
Medical devices are a vital component of healthcare systems, the advantages they may give
continue to grow as they are crucial for the safe and effective prevention, diagnosis …

Artificial Neural Networks for prediction of medical device performance based on conformity assessment data: Infusion and perfusor pumps case study

F Hrvat, L Spahić, LG Pokvić… - 2020 9th Mediterranean …, 2020 - ieeexplore.ieee.org
This paper presents the results of development of Artificial Neural Networks (ANNs) for
prediction of medical device performance based on conformity assessment data. Conformity …

Machine learning techniques for performance prediction of medical devices: infant incubators

L Spahić, E Kurta, S Ćordić, M Bećirović… - … 2019: Proceedings of …, 2020 - Springer
This paper presents development of Expert System for prediction of performance of infant
incubators based on real-time measured data. Temperature error, preventive maintenance …

Modelling a flexible two-phase inspection-maintenance policy for safety-critical systems considering revised and non-revised inspections

AR Alberti, WAF Neto, CAV Cavalcante… - Reliability Engineering & …, 2022 - Elsevier
This paper presents a flexible two-phase inspection and maintenance policy that has been
designed for safety-critical systems to prevent failures that can have serious consequences …

Long-term stability of over-the-counter cuffless blood pressure monitors: a proposal

T Tamura, S Shimizu, N Nishimura, M Takeuchi - Health and Technology, 2023 - Springer
Blood pressure is an important cardiovascular parameter. Currently, the cuff-based
sphygmomanometer is a popular, reliable, measurement method, but blood pressure …

Experimental Validation and Development of Decision Tree-based System for Prediction of Service Management of Perfusors/Syringe Pump.

B Isakovic, Z Masetic, J Kevric, L Gurbeta, E Gegic - TEM Journal, 2022 - ceeol.com
Despite the fact that technology is improving day by day and that the medical devices (MDs)
are being constantly upgraded, their malfunction is not a rare occurrence. The aim of this …