Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios

Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Abstract:

Objective: Contactless detection and classification of abnormal respiratory patterns is challenging, especially in multi-person scenarios. While Software-Defined Radio (SDR) systems have shown promise in capturing subtle respiratory movements, the presence of multiple people introduces interference and complexity, making it difficult to distinguish individual breathing patterns, particularly when subjects are close …

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