Heartbeat waveform recovery method and device, electronic equipment and storage medium

By using millimeter-wave radar and deep learning technology, heartbeat waveforms can be acquired non-contactly, solving the inconvenience of traditional heartbeat waveform detection. This enables the extraction of weak signals and noise suppression in non-intrusive monitoring, making it suitable for emerging scenarios such as emotion recognition and sleep analysis.

CN120959754APending Publication Date: 2025-11-18FOSHAN VIOMI ELECTRICAL TECH
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Patent Information

Application Number
CN202511002699.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-21
Publication Date
2025-11-18

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Abstract

The embodiment of the invention provides a heartbeat waveform recovery method and device, electronic equipment and a storage medium, and relates to the technical field of intelligent sensing. The method comprises the following steps: acquiring an intermediate frequency signal obtained by reflecting a millimeter wave radar transmitting signal through the chest and abdomen of a human body, extracting an in-phase component and an orthogonal component of the intermediate frequency signal, inputting the in-phase component and the orthogonal component into a pre-trained heartbeat waveform recovery model, and respectively processing the in-phase component and the orthogonal component by using branch modules in the model to obtain a heartbeat waveform recovery model; obtaining a first time sequence feature and a second time sequence feature; the first time sequence feature and the second time sequence feature are spliced and then input into a decoder module of the model for heartbeat waveform reconstruction, and the heartbeat waveform of the target person is obtained, so that the information dimension of the intermediate frequency signal is fully utilized, the signal separation and feature expression ability is improved, weak heartbeat signal features can be extracted, breathing interference and other noise are inhibited, and the accuracy of the heartbeat waveform reconstruction is improved. And the problems of inconvenience, discomfort, difficulty in continuation and the like of a traditional electrocardiosignal acquisition mode are solved.
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