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    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 by 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

    Published 2025-01-01

    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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