Cardiac autonomic profile during rest and working memory load in essential hypotensive women

Zambotti, Massimiliano de; Covassin, Naima; Cellini, Nicola; Sarlo, Michela; Stegagno, Luciano

doi:10.1016/j.ijpsycho.2012.05.002

Cited by 14 publications

(13 citation statements)

References 29 publications

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“…Nevertheless, they did not detect group differences in the pre‐ejection period (PEP), a metric inversely related to the sympathetic beta‐adrenergic activity (Cacioppo et al., ; Kelsey, ; Sherwood, ). On the contrary, we documented a reduced PEP shortening during cognitive testing in hypotensives as compared with normotensives (de Zambotti, Covassin, Cellini, Sarlo, & Stegagno, ), thus giving strength to the above‐discussed hypothesis. Moreover, the mentioned study illustrated lower vagal withdrawal in hypotensive participants by measuring heart rate variability (HRV), which also suggests a parasympathetic involvement in the autonomic dysregulation associated with this state.…”

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Cardiovascular down‐regulation in essential hypotension: Relationships with autonomic control and sleep

et al. 2013

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In this work, we aimed to clarify the autonomic involvement in the cardiovascular down-regulation in essential hypotension. The relationships between cardiovascular response and sleep quality were also examined. Thirteen female hypotensives and 13 female normotensives performed a stress task followed by polysomnography. Measures derived from blood pressure monitoring, impedance cardiography, and heart rate variability were collected. Hypotensives exhibited lower cardiovascular and autonomic activation than controls during the task. While a better sleep quality (i.e., higher sleep efficiency and lower nocturnal wakefulness) correlated with a reduced reactivity in normotensives, the opposite pattern occurred in hypotensives. The results suggest that a blunted response in both autonomic branches underlies the cardiovascular hypoactivation in hypotension. Further, good sleep seems to be associated with optimal levels of physiological reactivity.

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Cardiovascular down‐regulation in essential hypotension: Relationships with autonomic control and sleep

et al. 2013

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“…The locations of B-points as identified visually by an expert were considered as reference values. The expert (MdZ), who has several years of experience in recording and analyzing different cardiovascular signals including ICG and ECG (de Zambotti, et al, 2014; de Zambotti, Covassin, Cellini, Sarlo, & Stegagno, 2012; de Zambotti, et al, 2012; de Zambotti, Covassin, De Min Tona, Sarlo, & Stegagno, 2011; de Zambotti, et al, 2013), was blind to the developed algorithms and considered the visual B-point detection guidelines provided in (Árbol, et al, 2017; Sherwood, et al, 1990) along with the previous and next cardiac cycle dZ/dt patterns and ECG R-peak timings to determine the true B-point location.…”

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Toward a better noninvasive assessment of preejection period: A novel automatic algorithm for B‐point detection and correction on thoracic impedance cardiogram

et al. 2018

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Impedance cardiography is the most common clinically validated, noninvasive method for determining the timing of the opening of the aortic valve, an important event used for measuring preejection period, which reflects sympathetic beta-adrenergic influences on the heart. Automatic detection of the exact time of the opening of the aortic valve (B point on the impedance cardiogram) has proven to be challenging as its appearance varies between and within individuals and may manifest as a reversal, inflection, or rapid slope change of the thoracic impedance derivative's (dZ/dt) rapid rise. Here, a novel automatic algorithm is proposed for the detection of the B point by finding the main rapid rise of the dZ/dt signal, which is due to blood ejection. Several conditions based on zero crossings, minima, and maxima of the dZ/dt signal and its derivatives are considered to reject any unwanted noise and artifacts and select the true B-point location. The detected B-point locations are then corrected by modeling the B-point time data using forward and reverse autoregressive models. The proposed algorithm is validated against expert-detected B points and is compared with different conventional methods; it significantly outperforms them by at least 54% in mean error, 30% in mean absolute error, and 27% in standard deviation of error. This algorithm can be adopted in ambulatory studies requiring beat-to-beat evaluation of cardiac hemodynamic parameters over extended time periods where expert scoring is not feasible.

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“…Physiological correlates of chronic hypotension include reduced body weight, creatinine and hemoglobin [4], cortical activation [5,6], cerebral perfusion [7][8][9][10], body temperature [4], as well as generalized day-and night-time cardiovascular down-regulation [11][12][13][14]. Moreover, several studies revealed that hypotensives suffer from cognitive difficulties, mainly in the attention and memory domains [5,6,10,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Reduced cerebral and cardiovascular hemodynamics during sustained affective stimulation in young women with chronic low blood pressure

Cellini

Zambotti

Covassin

et al. 2015

Physiology & Behavior

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Cardiac autonomic profile during rest and working memory load in essential hypotensive women

Cited by 14 publications

References 29 publications

Cardiovascular down‐regulation in essential hypotension: Relationships with autonomic control and sleep

Cardiovascular down‐regulation in essential hypotension: Relationships with autonomic control and sleep

Toward a better noninvasive assessment of preejection period: A novel automatic algorithm for B‐point detection and correction on thoracic impedance cardiogram

Reduced cerebral and cardiovascular hemodynamics during sustained affective stimulation in young women with chronic low blood pressure

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