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We present an approach to quantifying nocturnal blood pressure (BP) variations that are elicited by sleep disordered breathing (SDB). A sample-by-sample aggregation of the dynamic BP variations during normal breathing and BP oscillations prompted by apnea episodes is performed. This approach facilitates visualization and analysis of BP oscillations. Preliminary results from analysis of a full night study of 7 SDB subjects (5 Male 2 Female, 52±5.6 yrs., Body Mass Index 36.4±7.4 kg/m 2 , Apnea-Hypopnea Index 69.1±26.8) are presented. Aggregate trajectory and quantitative values for changes in systolic blood pressure (SBP) and diastolic blood pressure (DBP) concomitant with obstructive apnea episodes are presented. The results show 19.4 mmHg (15.3%) surge in SBP and 9.4 mmHg (13.6%) surge in DBP compared to their respective values during normal breathing (p<0.05). Further, the peak of the surge in SBP and DBP occurred about 9s and 7s, respectively, post the end of apnea events. The return of SBP and DBP to baseline values displays a decaying oscillatory pattern. Clinical Relevance-Nocturnal blood pressure oscillations are considered detrimental to cardiac health. Quantitative assessment of these oscillations can be useful in monitoring the health of sleep apnea patients.

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In this work, we compare the spectroscopy results and metabolite maps for different shimming routine. We use vendor default shimming technique and our own shimming technique. We tried to do shimming in different regions of brain (i.e. prefrontal cortex, occipital, and insula), also we tried to do multivoxel shimming. We compared the frequency shift maps between vendor&rsquo;s implemented shim routine and our own shim algorithm. Also, we compared metabolite maps we got from different shimmed region after shimming using vendors and our own shimming routine.

No abstract