Deep Learning-Based Wearable Electro-Tonoarteriography (ETAG) Processing Method And Apparatus For Estimation of Continuous Arterial Blood Pressure
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United States of America Patent
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Jan 4, 2024
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Nov 5, 2022
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Jun 29, 2022
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Abstract
The present invention provides a deep learning-based wearable electro-tonoarteriography method and apparatus for the estimation of continuous arterial blood pressure, which relates to the technical fields of medical detection and artificial intelligence, and is applicable to, such as, tonoarteriogram (TAG, which is continuous arterial blood pressure) signal estimation and cardiac diseases detection. The method comprises: acquiring at least one lead ECG signal collected from a clothing and/or a wearable device worn by a subject of detection; processing the ECG signal based on a deep learning network, determining a signal processing result related to a tonoarteriogram information and/or related to a cardiac disease information. The present invention is advantageous in realizing the acquisition of continuous arterial blood pressure signal and/or the automatic diagnosis of cardiac disease on the basis of ensuring accuracy.
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