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Wstępna ocena warunków pracy personelu medycznego na oddziale intensywnej terapii w oparciu o pomiary poziomu dźwięku oraz natężenia oświetlenia

Kromka-Szydek M., Dziechciowski Z., Kirkov B., Tondera D.

Aktualne Problemy Biomechaniki

2016

z. 11

73--80

Autorzy przeprowadzili ocenę warunków pracy personelu na oddziale intensywnej terapii. Komfort akustyczny oceniano na podstawie pomiaru poziomu hałasu, a warunki oświetleniowe poprzez pomiar natężenia oświetlenia. W trakcie pomiarów uruchomione były dwa rodzaje istotnych źródeł hałasu: respiratory oraz kardiomonitory. Zmierzone na sali IT wartości poziomu hałasu przekraczały dopuszczalną wartość o ok. 24 dB. Na podstawie badań natężenia oświetlenia stwierdzono, że tylko w części punktów pomiarowych wartości normowe były spełnione.

The authors assess the working conditions of medical staff on the w Intensive Care Unit (ICU). The acoustic comfort was evaluated on the basis of sound level measurement and the lighting conditions of the illumination value. During the measurements worked most important noise sources such as respirators and patient monitors. The sound level values which have been measured in the ICU room were exceeded the permissible value of approx. 24 dB. Based on the results of measurements illumination it has been found that only part of the measurement points were met of requirements of the current legislations.

Analysis of heart rate variability as a predictor of mortality in cardiovascular patients of intensive care unit

Moridani M. K., Setarehdan S. K., Nasrabadi A. M., Hajinasrollah E.

Biocybernetics and Biomedical Engineering

2015

Vol. 35, no. 4

217--226

Objective: Dynamic changes of heart rate variability (HRV) reflect autonomic dysfunction in cardiac disease. Some studies suggest the role of HRV in predicting intensive care unit (ICU) mortality. The main object of this study was analyzing the HRV to design an algorithm to predict mortality risk. Methods: We evaluated 80 cardiovascular ICU patients (45 males and 45 females), ranging from 45 to 70 years. Common time and frequency domain analysis, non-linear Poincaré plot and recurrence quantification analysis (RQA) were used to study the HRV in two episodes. The episodes include 8–4 h before death, and 4 h before death to death. Independent sample t-test was used as statistical analysis. Results: Statistical analysis indicates that frequency domain and Poincaré parameters such as LF/HF and SD2/SD1 show changes in transition to death episode (p < 0.05). Moreover, Lmean, vmax and RT measures showed meaningful changes (p < 0.01) in closer segments to the death. Conclusions: Analysis of physiological variables shows that there are significant differences in RQA measures in episodes close to death. These changes can be interpreted as more stability and determinism behavior of HRV in episodes close to death. RQA parameters can be used together with HRV parameters for description and prediction of mortality risk in ICU patients.