Non-invasive monitoring of blood pressure using the Philips Intellivue MP50 monitor cannot replace invasive blood pressure techniques in surgery patients under general anesthesia

Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect awareness, have been widely used in many research and medical equipment to build a noninvasive monitoring index to the depth of anesthesia (DOA). Bispectral (BIS) index monitor is one of the famous and important indicators for anesthesiologists primarily using EEG signals when assessing the DOA. In this study, an attempt is made to build a new indicator using EEG signals to provide a more valuable reference to the DOA for clinical researchers. The EEG signals are collected from patients under anesthetic surgery which are filtered using multivariate empirical mode decomposition (MEMD) method and analyzed using sample entropy (SampEn) analysis. The calculated signals from SampEn are utilized to train an artificial neural network (ANN) model through using expert assessment of consciousness level (EACL) which is assessed by experienced anesthesiologists as the target to train, validate, and test the ANN. The results that are achieved using the proposed system are compared to BIS index. The proposed system results show that it is not only having similar characteristic to BIS index but also more close to experienced anesthesiologists which illustrates the consciousness level and reflects the DOA successfully.

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Comparative Evaluation of Accuracy of Recording Blood Pressure Either by Automated Oscillometric Method or by Sphygmomanometer in Both Normotensive and Hypertensive Patients - A Prospective Observational Study

Sobana

Parthasarathy

2018

Asian J Pharm Clin Res

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Objectives: Automatic devices based on oscillometric principle are widely used for the estimation of blood pressure (BP). Mercury sphygmomanometer mean systolic BP (MSBP) and its derived cuff pressure are the traditional mode of estimation which is a validated and authenticated procedure. Automated machines using oscillometric method are slowly replacing the conventional technique. This study was done to compare the BP recorded by the mercury sphygmomanometer MSBP and the automated technique using oscillometric method automated office BP (AOBP). Methods:Two hundred subjects aged 40-65 years with mid-arm circumference 27-34 cm were recruited. MSBP and AOBP were recorded adhering to guidelines given by the American Heart Association Joint National Committee. The subjects were divided into two groups as normotensive (Group 1) and hypertensive (Group 2), and statistical analysis was performed. Results:The mean systolic and diastolic pressures estimated by oscillometric method and sphygmomanometer were calculated and compared with each other by paired t-test separately for Groups 1 and 2. In mormotensives (Group 1), the mean systolic pressure MSBP was 114.21±7.5 mmHg and AOBP was 118.24±11.0 mmHg. The mean diastolic MSBP was 72.1±3.5 mmHg and AOBP was 76.4±1.2 mmHg. Subjects of Group 2 (hypertensive) showed mean systolic pressure MSBP of 144.42±18.5 mm Hg and AOBP of 159.74±22 mmHg. The mean diastolic MSBP was 87.2±9.5 mmHg and AOBP was 96.9±9.2 mmHg. In Group 1, the difference was statistically not significant, while in Group 2, comparison by paired t-test showed a mean difference of systolic pressure by 15.32±1.25 (p<0.005), and mean difference of diastolic pressure by 8.9±5.8 (p<0.005). Conclusion:Hence, we conclude that oscillometric pressure recordings by the automated device are closer to manual measurements in normotensives but showed a significant high value in hypertensives. We suggest caution in treating hypertensives with values derived from automated machines only.

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Non-invasive monitoring of blood pressure using the Philips Intellivue MP50 monitor cannot replace invasive blood pressure techniques in surgery patients under general anesthesia

Cited by 4 publications

References 25 publications

Cardiac and Haemodynamic Function

Cardiac and Haemodynamic Function

Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients’ Consciousness Level Based on Anesthesiologists Experience

Comparative Evaluation of Accuracy of Recording Blood Pressure Either by Automated Oscillometric Method or by Sphygmomanometer in Both Normotensive and Hypertensive Patients - A Prospective Observational Study

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