Blood pressure measurement using finger cuff

Lee, J.Y.; Choi, Eun-Ok; Jeong, Haedo; Kim, K.H.; Park, J.C.

doi:10.1109/iembs.2005.1617252

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…In the similar published papers, some researchers have tried to recognize the human emotions or behavior using soft computing algorithms like artificial neural network and neuro-fuzzy systems. The accuracy of the predicted values using DT , RBF and ANFIS in the present study is in the range or better than the previously published works performed works using artificial neural network or neuro-fuzzy algorithms (Chatterjee & Shi, 2010; Devi et al, 2016; Ioannou et al, 2005; Kalghatgi et al, 2015; Lee et al, 2006; Malkawi & Murad, 2013; Nicholson, Takahashi, & Nakatsu, 2000; Potey & Sinha, 2015; Sprengelmeyer, Rausch, Eysel, & Przuntek, 1998; Subramanian, Suresh, & Babu, 2012). The main superiority of the soft computing algorithms like DT , RBF and ANFIS in comparison to numerical methods is that it could be used for modeling of any complex system in order to forecast or control a desired parameters.…”

Section: Discussionsupporting

confidence: 53%

Prediction of Anger Expression of Individuals with Psychiatric Disorders using the Developed Computational Codes based on the Various Soft Computing Algorithms

Moghadasin

2019

Span. J. Psychol.

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Anger is defined as a psychobiological emotional state that consists of feelings varying in intensity from mild irritation or annoyance to intense fury and rage. Dysfunction in anger regulation is marker of most psychiatric disorders. The most important point about anger regulation by the individuals is how to express anger and control it. The purpose of the present study is to predict the anger expression from the anger experience in individuals with psychiatric disorder for assessment of how to express and control the anger. To this end, the number of 3,000 subjects of individuals with clinical disorders had filled in the State-Trait Anger Expression Inventory–II (STAXI–II). After removing the uncertain diagnoses (900 subjects), the number of 2,100 data was considered in the analysis. Then, the computational codes based on three soft computing algorithms, including Radial Basis Function (RBF), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Decision Tree (DT) were developed to predict the scales of anger expression of the individuals with psychiatric disorders. The scales of anger experience were used as input data of the developed computational codes. Comparison between the results obtained from the DT, RBF and ANFIS algorithms show that all the developed soft computing algorithms forecast the anger expression scales with an acceptable accuracy. However, the accuracy of the DT algorithm is better than the other algorithms.

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Section: Discussionsupporting

confidence: 53%

Prediction of Anger Expression of Individuals with Psychiatric Disorders using the Developed Computational Codes based on the Various Soft Computing Algorithms

Moghadasin

2019

Span. J. Psychol.

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“…Hypertension was defined as per the standard AHA/American College of Cardiology guidelines as SBP ≥140 mmHg and/or DBP ≥90 mmHg. [ 2 ] For the conduct of this study, we defined hypotension as SBP ≤90 mmHg and/or DBP ≤60 mmHg. [ 3 ]…”

Section: Methodsmentioning

confidence: 99%

“…As a result of this, it is thought that the accuracy of oscillometric and intra-arterial BP readings are highly varied. [ 1 2 ] It is not always practical to employ invasive BP monitoring in all patients. Mean arterial pressure (MAP) is usually calculated based on the values of systolic and diastolic BP (SBP and DBP, respectively).…”

Section: Introductionmentioning

confidence: 99%

Comparison of intraoperative blood pressure values measured by noninvasive versus invasive methods during normotension, hypertension, and hypotension

Irimpan,

Kesavan,

Rajan

et al. 2023

Journal of Anaesthesiology Clinical Pharmacology

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Background and Aims: Monitoring of intraoperative blood pressure (BP) is essential. We aimed to compare BP values simultaneously recorded by invasive and noninvasive methods under general anesthesia (GA) during normotension, hypertension, and hypotension. Mean arterial pressure (MAP) values calculated by the automated technique were also compared to the values obtained using predefined formula. Material and Methods: An observational, prospective study was conducted in 250 adult patients undergoing elective surgeries under GA. Before induction, noninvasive blood pressure (NIBP) was measured in the arm in a supine position using an automated oscillometer. Radial artery in the opposite arm was cannulated. NIBP and arterial BP (ABP) were recorded simultaneously during normotension, hypotension, and hypertension. Results: During normotension and hypertension, systolic BP (SBP) measured by NIBP and ABP were comparable. Diastolic BP (DBP) and MAP during normotension were significantly higher with NIBP (73.65 ± 7.73 vs. 65.69 ± 8.39 and 87.79 ± 8.43 vs. 84.24 ± 8.82, respectively). During hypertension, DBP and MAP were significantly higher with NIBP (90.44 ± 11.61 vs. 78.59 ± 11.09 and 111.67 ± 10.43 vs. 105.63 ± 11.06, respectively). During hypotension, SBP was significantly higher in ABP (91.14 ± 6.90 vs. 86.24 ± 6.06), and DBP and MAP were comparable. Comparison of MAP measured by ABP and NIBP techniques with the MAP calculated using predefined formula in normotension showed significantly higher values with the automated technique. Conclusions: During normotension and hypertension, DBP and MAP showed significantly higher values with the NIBP technique compared to ABP, with comparable SBP values. During hypotension, SBP showed significantly higher values with the ABP technique, with comparable DBP and MAP. MAP obtained using predefined formula and automated method in normotension was significantly higher with the automated technique.

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“…However, the accuracy could be a concern. Lee et al [ 7 ] proposed a calibrated method [ 8 ] which decreased the errors of different circumferences of the fingers of the subjects.…”

Section: Introductionmentioning

confidence: 99%

Development of a Blood Pressure Measurement Instrument with Active Cuff Pressure Control Schemes

Kuo

Chou

et al. 2017

Journal of Healthcare Engineering

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This paper presents an oscillometric blood pressure (BP) measurement approach based on the active control schemes of cuff pressure. Compared with conventional electronic BP instruments, the novelty of the proposed BP measurement approach is to utilize a variable volume chamber which actively and stably alters the cuff pressure during inflating or deflating cycles. The variable volume chamber is operated with a closed-loop pressure control scheme, and it is activated by controlling the piston position of a single-acting cylinder driven by a screw motor. Therefore, the variable volume chamber could significantly eliminate the air turbulence disturbance during the air injection stage when compared to an air pump mechanism. Furthermore, the proposed active BP measurement approach is capable of measuring BP characteristics, including systolic blood pressure (SBP) and diastolic blood pressure (DBP), during the inflating cycle. Two modes of air injection measurement (AIM) and accurate dual-way measurement (ADM) were proposed. According to the healthy subject experiment results, AIM reduced 34.21% and ADM reduced 15.78% of the measurement time when compared to a commercial BP monitor. Furthermore, the ADM performed much consistently (i.e., less standard deviation) in the measurements when compared to a commercial BP monitor.

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Blood pressure measurement using finger cuff

Cited by 5 publications

References 4 publications

Prediction of Anger Expression of Individuals with Psychiatric Disorders using the Developed Computational Codes based on the Various Soft Computing Algorithms

Prediction of Anger Expression of Individuals with Psychiatric Disorders using the Developed Computational Codes based on the Various Soft Computing Algorithms

Comparison of intraoperative blood pressure values measured by noninvasive versus invasive methods during normotension, hypertension, and hypotension

Development of a Blood Pressure Measurement Instrument with Active Cuff Pressure Control Schemes

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