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In recent years, the integration of deep learning has substantially advanced PPG signal analysis and expanded its applications across healthcare and non-healthcare domains.\n  Methods: We conducted a comprehensive literature search for studies applying deep learning to PPG data published between January 1, 2017 and December 31, 2025, using Google Scholar, PubMed, and Dimensions. The included studies were analyzed from three key perspectives: tasks, models, and data.\n  Results: A total of 460 papers applying deep learning techniques to PPG signal analysis were included. 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The included studies were analyzed from three key perspectives: tasks, models, and data.\n  Results: A total of 460 papers applying deep learning techniques to PPG signal analysis were included. 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