[HTML][HTML] Early prediction of circulatory failure in the intensive care unit using machine learning
Intensive-care clinicians are presented with large quantities of measurements from multiple
monitoring systems. The limited ability of humans to process complex information hinders …
monitoring systems. The limited ability of humans to process complex information hinders …
[HTML][HTML] Future research in health information technology: a review
Method This review study was completed in 2015. The databases used were Scopus, Web
of Science, ProQuest, Ovid Medline, and PubMed. Keyword searches were used to identify …
of Science, ProQuest, Ovid Medline, and PubMed. Keyword searches were used to identify …
Surrogate-based artifact removal from single-channel EEG
M Chavez, F Grosselin, A Bussalb… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Objective: the recent emergence and success of electroencephalography (EEG) in low-cost
portable devices, has opened the door to a new generation of applications processing a …
portable devices, has opened the door to a new generation of applications processing a …
Removing muscle artifacts from EEG data: Multichannel or single-channel techniques?
Electroencephalogram (EEG) recordings are often contaminated with muscle artifacts.
Muscular activities strongly obscure EEG signals and complicate subsequent EEG-based …
Muscular activities strongly obscure EEG signals and complicate subsequent EEG-based …
[HTML][HTML] Quality assessment of single-channel EEG for wearable devices
F Grosselin, X Navarro-Sune, A Vozzi… - Sensors, 2019 - mdpi.com
The recent embedding of electroencephalographic (EEG) electrodes in wearable devices
raises the problem of the quality of the data recorded in such uncontrolled environments …
raises the problem of the quality of the data recorded in such uncontrolled environments …
[HTML][HTML] Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology
Background Intensive care clinicians use several sources of data in order to inform decision-
making. We set out to evaluate a new interactive data integration platform called T3™ made …
making. We set out to evaluate a new interactive data integration platform called T3™ made …
[PDF][PDF] Assessment of health information technology knowledge, attitude, and practice among healthcare activists in Tehran hospitals
Background: To encourage students and professionals to use health information technology
(HIT), an awareness of their perceptions of various aspects of using this facility is essential …
(HIT), an awareness of their perceptions of various aspects of using this facility is essential …
Semantic architecture for interoperability in distributed healthcare systems
Electronic Health Records (EHRs) aggregate the entire patient's data from different systems.
Achieving interoperability for distributed EHR systems is expected to improve patient safety …
Achieving interoperability for distributed EHR systems is expected to improve patient safety …
Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset
In this work, we present a deep reinforcement learning-based approach as a baseline
system for autonomous propofol infusion control. Specifically, design an environment for …
system for autonomous propofol infusion control. Specifically, design an environment for …
[HTML][HTML] Opportunities for using health information technology for elderly care in the emergency departments: a qualitative study
G Shagerdi, H Ayatollahi, M Hemmat - Perspectives in Health …, 2022 - ncbi.nlm.nih.gov
Methods This qualitative study was conducted in 2020. The participants included
geriatricians, geriatric nurses, emergency medicine specialists, and nurses who worked in …
geriatricians, geriatric nurses, emergency medicine specialists, and nurses who worked in …