Importance

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Abstract

The present disclosure relates to systems and methods for using a wearable device to monitor patients suffering from congestive heart failure as well as other related diseases. In particular, a wearable patch is disclosed. The wearable patch includes a patch body with a body patch side attached to and contacting a user's body as well as an opposing non-body patch side. The body patch side is configured to accommodate carotid arterial pressure sensors and bioimpedance and ECG/EKG electrodes for collecting physiological data from the user. The patch may also include jugular venous pressure sensors. A controller is disposed on the non-body patch side of the patch body. The controller includes a data collection module to receive data from the pressure sensors and the bioimpedance electrodes, a processing module to preprocess the data received, and a communication module for transmitting the preprocessed data to a backend analysis system for analysis. The backend system includes a deep learning model to analyse the behavior of carotid arterial and jugular venous pressure pulse waves, bioimpedance and ECG/EKG waveforms to predict if the patient is likely to suffer a heart failure event (HFE) or not.

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First Claim