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For the diagnosis and treatment of hypertension, the current hypertension guidelines recommend using the average results of many blood pressure readings collected both in and out of the office. In-office BP measurements using upper-arm cuff constitutes the evidence-based reference system for current BP classification and treatment goals. However, both major medical organizations have endorsed out-of-office BP evaluations using 24 h ambulatory or home BP monitoring for more insight into an individual's BP profile and how it relates to their daily activities. The correlation of BP variability with cardiovascular outcomes has been widely recognized, including the association of BP variability with cardiovascular outcomes. We introduce and compare common and novel methods and technologies for determining average BP levels and BP variability in this article, as well as discussing the benefits and potential of these methods for improving the treatment and care of patients with hypertension.
Source link: https://doi.org/10.1038/s41569-022-00690-0
The cuffles' blood pressure monitoring system, which is based on photoplethysmogram, makes it possible for long-term blood pressure monitoring to detect and treat cardiovascular and cerebrovascular events. The prediction model built on a single feature group does not do well in a single sensor measurement. This paper introduces an artificial neural network model for predicting blood pressure based on feature combinations. To improve the accuracy of peaks and troughs detection, an adaptive peak extraction algorithm is used first. For regression, a two-layer feedforward artificial neural networks algorithm is employed. Thirty-three participants were recruited in three blood pressure groups. Experimental results show that the modified strategy has good reliability for a diverse population with an estimation error of 0. 03 4. 27 mmHg for SBP and 0. 38 for DBP. In addition, the model can track blood pressure in a long run, showing the algorithm's stability.
Source link: https://doi.org/10.1109/JBHI.2022.3167059
Blood pressure monitoring systems must be validated according to stringent international validation guidelines. We wanted to develop criteria that could identify low accuracy devices that could not pass a validation protocol early in the validation process. The 2010 European Society of Hypertension International Protocol and the Universal Standard for Validation of BPM devices were scrutinized for criteria that could be used for preclusion of passage. We created a model that calculates best-case standard deviations to detect SDs in order to prevent the protocol from being circulated before it is completed, allowing for a stepwise validation process. We found that if used in a stepwise approach, our system could predict the failure of low-accuracy BPM devices early during a validation process.
Source link: https://doi.org/10.1111/jch.14474
This study was conducted to look at differences in BP measurements, including BP variability, between patients who were judged by beat-to-beat PTT-estimated BP and those assessed by intermittent PTT-estimated BP at regular time intervals in patients suspected of having sleep disordered breathing. In average systolic BP, SD, and CV of systolic BP, there was a close match between eBPBTBTB and eBPINT, while there were differences in both minimum and maximum eBPINT in patients with high systolic BP, as well as CV. Although systolic BP variation in both eBPBTB and eBPINT increased in tandem with eBPINT, there was no difference between eBPBTB and eBPINT, however, there was no difference between eBPBTB and eBPINT. The difference between eBPBTBTB and eBPINT in patients with suspected SDB was minimal, and there were questions about both the minimum and maximum BP.
Source link: https://doi.org/10.1038/s41440-022-00899-z
Due to a combination of clinical need and technological advancement, Cuffless blood pressure measurement has become a burgeoning field. The aim of this study is to propel development and use of cuffles BP measurement methods. We then present all major cuffles' procedures under scrutiny, as well as their latest facts. While the calibrated techniques can save convenience, the uncalibrated methods do not require periodic cuff device usage or demographic inputs. Volume 24 is expected to be published online on June 2022.
Source link: https://doi.org/10.1146/annurev-bioeng-110220-014644
Effective management of hypertension is of utmost importance for minimizing the risk of hypertension-related CV issues, as well as reducing the global burden of CV mortality. However, several studies reported relatively poor rates of blood pressure monitoring in a setting of real-life settings. Correct evaluation of individual BP profiles, including home, clinic, and 24-h ambulatory BP measurements, can increase knowledge of the condition, ensure adherence to prescribed medications in treated hypertensive patients, and in turn improve BP control in treated hypertensive outpatients. This report was intended to discuss current and potential shortcomings of European guidelines on how to detect BP in office and out-of-office settings, as well as their potential effects on daily clinical management of hypertension.
Source link: https://doi.org/10.1007/s11739-022-02961-7
This research looked at the effects of heart rate on blood pressure measurement's stability and accuracy, as well as the most reliable blood pressure measurement in atrial fibrillation patients. Both the AF and SR groups were then divided into five groups based on the HR. The difference between the IBP and the coefficient of variation was calculated, as well as the stability and reliability of NIBP measurements were determined. CV of NIBP was at its best when the HR was 100 bpm; and SBP was significantly lower in the HR groups, with 60-80 and 80-100 bpm. The NIBP was typically poor when the HR was elevated, but when the HR was high or poor, it was often underestimated. The best HR range for measuring blood pressure in AF patients is 6ty to 100 bpm.
Source link: https://doi.org/10.1038/s41440-022-00897-1
However, the majority of continuous BP measurements are dependent on the pulse transit time from multiple-channel physiological acquisition techniques that have been hampered by wearable applications. For next-generation personalized healthcare advancement, wearable and smart health electronics have become increasingly important. The proposed device would further establish a tailored BP model for personalized healthcare, with significant BP attributes obscured from the measured bio-impedance signals by ultra-lightweight AI algorithm. The alleged device demonstrates the BP accuracy in terms of the mean error and mean absolute error within 1. 7 3. 4 mmHg and 2. 6 mmHg, respectively, which conforms to the Association for the Advancement of Medical Instrumentation's guidelines. In the future, the new wearable smart device is expected to increase the artificial intelligence of things technology for personalized BP healthcare.
Source link: https://doi.org/10.3390/bios12030150
Blood pressure testing outside-of-office is considered a vital component of the diagnostic algorithm and hypertension control. These digital blood pressure monitors allow frequent BP measurements with little irritation to the patient, although they do not promise dramatic improvements in the diagnostic quality as the importance of making a thorough diagnosis of hypertension has increased. Both Frequent measurements of BP and the incorporation of new features in BP variability allow for a more realistic interpretation of BP results in the context of real-life environments.
Source link: https://doi.org/10.1038/s41371-022-00675-z
In published studies, this research intends to investigate the diagnostic reliability of a digital blood pressure measurement unit compared to the gold standard mercury sphygmomanometer. We included studies describing the sensitivity or specificity of blood pressure measurements by digital devices and mercury sphygmomanometer used as the reference standard. We considered published manuscripts in the English language only. The digital blood pressure monitor has a moderate degree of accuracy, and with a pooled estimate of 65. 7% and specificity of 95. 9%, it can correctly identify hypertension. The digital blood pressure monitor had moderate success with a mercury sphygmomanometer, according to a DOR review. This will provide the clinician and patients with up-to-date information on blood pressure, which may include diagnostic and therapeutic decisions.
Source link: https://doi.org/10.1038/s41598-022-07315-z
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