Blood pressure variability
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.
The symposium deals with all the aspects of interactions among the worlds of the instrumentation and measurement, bio-engineering, material science, chemical and biological measurements, and the medical field. The symposium enables researchers, doctors and technicians to exchange ideas and information, make connections and collaborations and update innovation on health care systems and diagnostics in medicine.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...
Measurements and instrumentation utilizing electrical and electronic techniques.
Computers in Cardiology 1994, 1994
Wigner-Ville (WV) analysis was used to investigate rapidly varying spectral characteristics of blood pressure variability in rats following sinoaortic deafferentation (SAD). SAD abolished the 0.5 Hz peak attributed to the baroreflex while increasing low-frequency power by 10-100 times, and a prominent peak appeared at the observed frequency of respiration (1.5-2.0 Hz). In sham-operated rats, small amplitude rapid fluctuations in power ...
 Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1990
Proceedings of Computers in Cardiology Conference, 1993
The mutual interactions existing between heart rate (HR) and arterial blood pressure (ABP) variability signals are investigated by means of a bivariate, time-variant model. The linear, parametric, closed-loop model, chosen to describe the relationships between HR and ABP spontaneous variability, is updated recursively according to the dynamic variations in the signals. In this way a beat-to-beat description of the interaction ...
Computers in Cardiology 1994, 1994
Repolarisation of the left ventricle and blood pressure are mainly influenced by sympathetic tone. The authors investigated RR-, RT-intervals and systolic blood pressure variability by spectral analysis in 18 healthy volunteers in supine and head-up tilt position (90/spl deg/). ECG and peripheral arterial blood pressure were recorded 3 minutes in both positions (respiratory rate 0.26 Hz). Mean values, standard deviation ...
Proceedings of Computers in Cardiology Conference, 1993
Blood pressure variability was found to follow a 1/f behaviour. The aim of the authors' study was to verify whether this phenomenon was associated with a concomitant 1/f modulation of the baroreflex sensitivity. In 8 ambulant subjects, systolic blood pressure and pulse interval were continuously monitored for 24 hours and jointly analysed by a sequential procedure to obtain a dynamic ...
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Wigner-Ville (WV) analysis was used to investigate rapidly varying spectral characteristics of blood pressure variability in rats following sinoaortic deafferentation (SAD). SAD abolished the 0.5 Hz peak attributed to the baroreflex while increasing low-frequency power by 10-100 times, and a prominent peak appeared at the observed frequency of respiration (1.5-2.0 Hz). In sham-operated rats, small amplitude rapid fluctuations in power at the lower frequencies apparently represent baroreflex activity. SAD removed these rapid fluctuations, and caused a dramatic increase in the amplitude of low frequency power fluctuations. After SAD, the mechanisms mediating low and high frequency oscillations may compensate for the abolished baroreflex by increasing their sensitivity.<<ETX>>
The mutual interactions existing between heart rate (HR) and arterial blood pressure (ABP) variability signals are investigated by means of a bivariate, time-variant model. The linear, parametric, closed-loop model, chosen to describe the relationships between HR and ABP spontaneous variability, is updated recursively according to the dynamic variations in the signals. In this way a beat-to-beat description of the interaction of the two signals and a beat-to-beat extraction of the relevant spectral and cross-spectral parameters are obtained. Furthermore, as a result of proper modelisation, a noninvasive measurement of the /spl alpha/-baroceptive gain is extracted on a beat-to-beat basis. The quantification of these parameters is obtained through an automatic spectral decomposition technique for an ARMA model. The parameters achieved from the proposed model are used to investigate episodes of vasovagal syncope. In particular the authors are interested in a quantitative assessment of the changes of the autonomic nervous system (ANS) behavior in the epoch preceding the episode and in the evaluation of ANS role in association with the vasovagal event.<<ETX>>
Repolarisation of the left ventricle and blood pressure are mainly influenced by sympathetic tone. The authors investigated RR-, RT-intervals and systolic blood pressure variability by spectral analysis in 18 healthy volunteers in supine and head-up tilt position (90/spl deg/). ECG and peripheral arterial blood pressure were recorded 3 minutes in both positions (respiratory rate 0.26 Hz). Mean values, standard deviation (STD), LF (0.05-0.18 Hz) and HF (0.18-0.32 Hz) areas of the spectra were calculated. After positive tilt mean RR-intervals and RR-variability (HF) decrease. Mean RT-interval decreases and mean systolic blood pressure increases in tilt position. STD and LF of RT and blood pressure increase parallely. HF increases for blood pressure and shows no significant changes for RT-intervals. The increase of LF for the RT- intervals may be due to a sympathetic influence, but also beat to beat changes of the stroke volume and coronary perfusion may be responsible for this effect. The different behaviour of the variability of RR- and RT-intervals indicates that there is no direct coupling between RR- and RT- intervals.<<ETX>>
Blood pressure variability was found to follow a 1/f behaviour. The aim of the authors' study was to verify whether this phenomenon was associated with a concomitant 1/f modulation of the baroreflex sensitivity. In 8 ambulant subjects, systolic blood pressure and pulse interval were continuously monitored for 24 hours and jointly analysed by a sequential procedure to obtain a dynamic estimation of baroreflex sensitivity over day and night. A single spectrum was estimated via FFT from each 24-h sensitivity profile and the presence of the 1/f pattern was evaluated by fitting such a spectrum by a 1/f curve. The authors' results indicate that the baroreflex sensitivity is characterised by marked and systematic short and long-term changes actually following a 1/f behaviour.<<ETX>>
Two techniques for quantifying the complexity of a signal, the approximate entropy and approximate dimension, that are based on ideas from nonlinear dynamics are described. The two transformations are shown to be suitable for characterizing heart rate and blood pressure variability. Because the distinction between noise and chaos ultimately comes down to the complexity of the generating system, each of them can be interpreted as measuring the complexity of the system. For typical conditions encountered in the analysis of heart rate and blood pressure signals-signals of short duration that may not show clear evidence of deterministic dynamics-these techniques are more appropriate than conventional methods for calculating fractal dimensions and Kolmogorov entropy. They provide a robust way of characterizing variability with real heart rate and blood pressure data.<<ETX>>
This paper proposes to use the pulse transit time variability (PTTV) as an indicator of the variability in hemodynamics and studies its correlation with other cardiovascular variabilities, especially the blood pressure variability (BPV), which receives increasing attentions as an independent indicator of autonomic regulation and abnormalities in cardiovascular system. Continuous blood pressure (BP), electrocardiogram (ECG), and photoplethysmographic (PPG) signal were collected simultaneously from 11 healthy subjects in resting state. Two types of pulse transit time (PTT), defined by different characteristic points of ECG and PPG signals, were measured beat by beat noninvasively. Correlation coefficient was employed to quantify the relationship between the beat-to-beat variabilities in any pair of the target cardiovascular parameters. Significant correlations were consistently observed among the variabilities in systolic BP, pulse BP and PTT<sub>f </sub>, which was defined as the time interval between the peak of ECG R-wave and the frontal foot of the PPG pulse within the same cardiac cycle. The results of this study indicate that variability in PTT<sub>f </sub> is highly associated with that in BP and can be potentially used for BPV estimation for healthy subjects at static body state
A new index, the cross-power index (CPI), is proposed to quantify the severity of obstructive sleep apnea syndrome (OSAS) in terms of its cardiovascular effects. On the basis of the influences that recurring drops in oxygen saturation have on systolic blood pressure variability of OSAS patients, CPI is defined as the integral of the cross-spectrum modulus between systolic blood pressure and oxygen saturation. In a test group of 22 subjects, CPI correctly identified all 15 OSAS patients included in the pool. Moreover, evaluation of CPI in six OSAS patients sleeping with and without a CPAP (continuous positive airway pressure) device demonstrated that CPAP treatment substantially reduced the components of blood pressure variability that were correlated with oxygen saturation. These first applications of CPI support the use of this index to identify OSAS patients, to evaluate the efficacy of CPAP in their treatment and to quantify the cardiovascular effect of OSAS.
Analysis of variability series obtained from synchronous recordings of ECG and arterial blood pressure (ABP) signals has been applied to 9 patients during haemodialitic treatment. Information about the activity of neural systems controlling the heart has been extracted through autoregressive spectral analysis and estimation of time domain parameters. Hypotension prone (unstable) patients show values of LF/HF ratio, which measures the sympathovagal balance, always lower than hypotension resistant (stables) ones. Results suggest an interpretative hypothesis for which the reduced response of the baroreceptive mechanism in unstable patients could be responsible for the hypotensive crises.
The maximum cross-correlation coefficient rhomaxbetween blood pressure variability and heart rate variability, whose frequency components are limited to the Mayer wave-related band, is a useful index to evaluate the state of the autonomic nervous function related to baroreflex. However, measurement of continuous blood pressure with an expensive and bulky measuring device is required to calculate rhomax. The present study has proposed an easier method for obtaining rhomaxwith measurement of finger photoplethysmography (PPG). In the proposed method, independent components are extracted from feature variables specified by the PPG signal by using the independent component analysis (ICA), and then the most appropriate component is chosen out of them so that the rhomaxbased on the component can fit its true value. The results from the experiment with a postural change performed in 17 healthy subjects suggested that the proposed method is available for estimating rhomaxby using the ICA to extract blood pressure information from the PPG signal.
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