Timing errors and temporal uncertainty in clinical databases—A narrative review

AJ Goodwin, D Eytan, W Dixon… - Frontiers in Digital …, 2022 - frontiersin.org
A firm concept of time is essential for establishing causality in a clinical setting. Review of
critical incidents and generation of study hypotheses require a robust understanding of the …

Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries

S Xu, AY Rwei, B Vwalika, MP Chisembele… - The Lancet Digital …, 2021 - thelancet.com
Globally, neonatal mortality remains unacceptability high. Physiological monitoring is
foundational to the care of these vulnerable patients to assess neonatal cardiopulmonary …

Exploring the clinical relevance of vital signs statistical calculations from a new-generation clinical information system

JI Muñoz-Bonet, V Posadas-Blázquez… - Scientific Reports, 2023 - nature.com
New information on the intensive care applications of new generation 'high-density data
clinical information systems'(HDDCIS) is increasingly being published in the academic …

Optimized arterial line artifact identification algorithm cleans high-frequency arterial line data with high accuracy in critically ill patients

JM Khan, DM Maslove, JG Boyd - Critical Care Explorations, 2022 - journals.lww.com
OBJECTIVES: High-frequency data streams of vital signs may be used to generate
individualized hemodynamic targets for critically ill patients. Central to this precision …

[HTML][HTML] System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry

S Kim, D Yun, S Kwon, SR Lee, K Kim… - Kidney Research and …, 2022 - ncbi.nlm.nih.gov
Background Appropriate monitoring of intradialytic biosignals is essential to minimize
adverse outcomes because intradialytic hypotension and arrhythmia are associated with …

Hemodynamic patterns before inhospital cardiac arrest in critically ill children: an exploratory study

E Erez, ML Mazwi, AM Marquez, MA Moga… - Critical care …, 2021 - journals.lww.com
OBJECTIVES: To characterize prearrest hemodynamic trajectories of children suffering
inhospital cardiac arrest. DESIGN: Exploratory retrospective analysis of arterial blood …

The truth Hertz—synchronization of electroencephalogram signals with physiological waveforms recorded in an intensive care unit

AJ Goodwin, W Dixon, M Mazwi… - Physiological …, 2023 - iopscience.iop.org
Objective. The ability to synchronize continuous electroencephalogram (cEEG) signals with
physiological waveforms such as electrocardiogram (ECG), invasive pressures …

Robust Machine Learning in Critical Care—Software Engineering and Medical Perspectives

M Staron, HO Herges, S Naredi, L Block… - 2021 IEEE/ACM 1st …, 2021 - ieeexplore.ieee.org
Using machine learning in clinical practice poses hard requirements on explainability,
reliability, replicability and robustness of these systems. Therefore, developing reliable …

Graph representation integrating signals for emotion recognition and analysis

T Zawadzka, T Wierciński, G Meller, M Rock… - Sensors, 2021 - mdpi.com
Data reusability is an important feature of current research, just in every field of science.
Modern research in Affective Computing, often rely on datasets containing experiments …

The role of compression in large scale data transfer and storage of typical biomedical signals at hospitals

M Jacobsson, F Seoane… - Health Informatics …, 2023 - journals.sagepub.com
In modern hospitals, monitoring patients' vital signs and other biomedical signals is standard
practice. With the advent of data-driven healthcare, Internet of medical things, wearable …