Evaluating Cardiac Impairment From Abnormal Respiratory Patterns: Insights From a Wireless Radar and Deep Learning Study

Evaluating Cardiac Impairment From Abnormal Respiratory Patterns: Insights From a Wireless Radar and Deep Learning Study

Objectives: Assessing the bidirectional impacts of heart function impairment and sleep-disordered breathing remains underexplored. Thus, this study analyzed respiratory patterns from a wireless radar framework to explore their associations with echocardiographic (2D-echo) measurements. Methods: Back...

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Main Authors: Chun-Chih Chiu, Wen-Te Liu, Jiunn-Horng Kang, Chun-Chao Chen, Yu-Hsuan Ho, Yu-Wen Huang, Zong-Lin Tsai, Rachel Chien, Ying-Ying Chen, Yen-Ling Chen, Nai-Wen Chang, Hung-Wen Lu, Kang-Yun Lee, Arnab Majumdar, Shu-Han Liao, Ju-Chi Liu, Cheng-Yu Tsai
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Sleep-disordered breathing
echocardiographic (2D-echo) measurements
respiratory disturbance index (RDI)
periodic breathing (PB) cycle length
left ventricular ejection fraction (LVEF)
Online Access:https://ieeexplore.ieee.org/document/11079612/
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https://ieeexplore.ieee.org/document/11079612/

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