Heart rate control in infants at high risk for sudden infant death syndrome (SIDS)

Mrowka, Ralf; Schlüter, B.; Gerhardt, Donald C.; Patzak, Andreas

doi:10.1109/cic.1996.542501

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…They defined 0.02 to 0.2 Hz as LF band, and 0.2 to 1.5 Hz as HF band. Their result showed significant difference between these two groups of infants for LF/HF ratio in both REM and QS [MRO96].…”

Section: Heart Rate Variability As a Predictor Of Sids And Apnea/bradmentioning

confidence: 91%

“…Most of the studies focused on finding whether there is statistical difference between those two kinds of infants in HRV. The methods used include the paired Wilcoxon test [MRO96], Welch test [LEI80], two-way analysis of variance [ANT90,KLU88], and one-way analysis of variance [SCH89]. Significant differences were found in almost all of the studies, even though conflicting results also exist [ANT90,VAL88].…”

Section: Heart Rate Variability As a Predictor Of Sids And Apnea/bradmentioning

confidence: 99%

“…Consequently, the LF/HF ratio is considered by some investigators to reflect the balance between sympathetic and vagal or to reflect the sympathetic modulation [TASK96]. In the frequency analysis of HRV for infants, the LF band is defined as 0.02 -0.2 Hz or 0.02 -0.15 Hz, while the HF band was 0.2-1.5 Hz or 0.15 -1.5 Hz in [MRO96] and [MAZ98], respectively. In order to achieve meaningful spectral analysis of HRV, it is necessary to define the data preprocessing procedure.…”

Section: Frequency -Domainmentioning

confidence: 99%

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Prediction of life -threatening events in infants using heart rate variability measurements

Xu¹

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Prediction of Life-Threatening Events in Infants Using Heart Rate Variability Measurements Xueyan Xu Sudden infant death syndrome (SIDS) is the sudden death of an infant under 1 year old without any apparent sign ahead of time. It is the leading cause of death of infants between the age of one month and one year in the developed countries. After thirty years substantial worldwide research, it is still impossible to predict or prevent SIDS. With the long-term goal to prevent SIDS, this study explores prediction of life-threatening events using heart rate variability (HRV). HRV is an indirect measure of the autonomic nervous system input to the cardiovascular system. The hypothesis is that infants who are at high risk for life-threatening events and SIDS have a lack of nervous system control. Although statistically significant differences in HRV have been found between infants at high risk for SIDS and controls in previous studies, few studies go one step further to classify the infant group or put effort toward prediction of future events for a specific infant. We investigate whether HRV can differentiate infants at risk for future apparent life-threatening events (FALTE) using the dataset collected by the Collaborative Home Infant Monitoring Evaluation (CHIME) study group. To achieve this, we developed and validated an artifact rejection routine, used statistical methods to study differences between normal and FALTE infant groups, and explored the relationship between HRV parameters. Lastly, the major work of our study is to design a model to classify infants using HRV, including logistic regression, decision tree, and neural networks. Promising results (67% sensitivity and 100% specificity) are achieved for the test dataset by varying the model parameters and the threshold. Up until now, there is little information available for determining the likelihood of future life-threatening events for a newborn. If prediction at this accuracy level can be achieved through the measurement of HRV, infants at risk for life-threatening events can be identified and assisted by offering corresponding therapy. iii ACKNOWLEDGEMENTS I would like to express my deepest gratitude and appreciation to my advisor, Dr. Stephanie Schuckers, for her undying patience, confidence, encouragement, and valuable suggestions throughout this research. Thank you for giving tirelessly of your time and expertise, your smart ideas, and guiding hand in helping me achieve my goal. Also, thanks for leading me into this wonderful biomedical world, in which I would love to develop my future career. You are my advisor in every way.

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Section: Heart Rate Variability As a Predictor Of Sids And Apnea/bradmentioning

confidence: 91%

Section: Heart Rate Variability As a Predictor Of Sids And Apnea/bradmentioning

confidence: 99%

Section: Frequency -Domainmentioning

confidence: 99%

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Prediction of life -threatening events in infants using heart rate variability measurements

Xu¹

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Chaos in the cardiovascular system: an update

Wagner

Persson

1998

Cardiovascular Research

107

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Rhythmic changes of blood pressure, heart rate, and other cardiovascular measures have drawn the attention of several investigators, since these oscillations can shed light onto the activity of the underlying control network. The overwhelming proportion of circulatory variations, however, are not linear, i.e., they do not consist of perfectly rhythmic components. Thus, these fluctuations are more adequately analysed by non-linear techniques, most of which are adopted from chaos theory. A spotlight issue of 'Cardiovascular Research' (Vol. 31, 1996), focused on chaos in the cardiovascular system. This current review outlines today's understanding of this field by presenting the major discoveries and developments which have taken place since then.

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Heart rate control in infants at high risk for sudden infant death syndrome (SIDS)

Cited by 2 publications

References 16 publications

Prediction of life -threatening events in infants using heart rate variability measurements

Prediction of life -threatening events in infants using heart rate variability measurements

Chaos in the cardiovascular system: an update

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