Publications by authors named "Thi Hang Dang"

Electrical impedance tomography (EIT) can monitor the real-time hemodynamic state of a conscious and spontaneously breathing patient noninvasively. However, cardiac volume signal (CVS) extracted from EIT images has a small amplitude and is sensitive to motion artifacts (MAs). This study aimed to develop a new algorithm to reduce MAs from the CVS for more accurate heart rate (HR) and cardiac output (CO) monitoring in patients undergoing hemodialysis based on the source consistency between the electrocardiogram (ECG) and the CVS of heartbeats.

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Article Synopsis
  • Doctors measured how much air people breathed in and how much blood their heart pumped while they slept, focusing on patients with sleep problems called OSA (obstructive sleep apnea).
  • They found that during some breathing issues called hypopneas and apneas, the amount of air breathed in decreased a lot, which showed worse breathing during sleep.
  • The study suggests that measuring how much air is breathed in could help understand OSA better, alongside other tests they usually use.
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Characterizing upper airway occlusion during natural sleep could be instrumental for studying the dynamics of sleep apnea and designing an individualized treatment plan. In recent years, obstructive sleep apnea (OSA) phenotyping has gained attention to classify OSA patients into relevant therapeutic categories. Electrical impedance tomography (EIT) has been lately suggested as a technique for noninvasive continuous monitoring of the upper airway during natural sleep.

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