User classification method, device and electronic device for blood pressure measuring device

By obtaining the pressure signal and piezoelectric signal of the blood pressure measurement device, and using the feature extraction network to distinguish registered users and visitor users, solving the problems of restricted user classification and data interference in the prior art, achieving convenient multi-user distinction.

CN116369881BActive Publication Date: 2025-08-15BEIJING HANVON HEALTH TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202310074444.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-01-13
Publication Date
2025-08-15
Estimated Expiration
2043-01-13

AI Technical Summary

Technical Problem

The existing blood sphygmomanometer user classification method is limited by the dial switch, which makes it difficult to distinguish multiple users, and is easily interfered with by other user data, making the operation cumbersome.

Method used

By obtaining the pressure signal and piezoelectric signal of the blood pressure measuring device, the blood pressure characteristics are extracted using the pre-trained feature extraction network, and combining the blood pressure characteristics of the registered user, it automatically distinguishes the registered user from the visitor user.

Benefits of technology

It realizes that there is no need to manually switch user classification, accurately distinguish different people being measured, avoid interference from measurement data, and is easy to operate.

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Abstract

The present application discloses a user classification method and device for a blood pressure measuring device, which belongs to the field of computer technology. The method comprises: obtaining a pressure signal and a piezoelectric signal collected by the blood pressure measuring device during the blood pressure measurement process of the current user; performing signal processing on the pressure signal and the piezoelectric signal to obtain a sequence of signal features corresponding to each brachial artery pulsation; performing feature extraction on the sequence through a pre-trained feature extraction network to obtain the current blood pressure feature; and determining whether the current user is a designated registered user or a guest user based on the current blood pressure feature and the registered blood pressure feature of the registered user of the blood pressure measuring device. The present method realizes the distinction between different measured persons based on blood pressure features, thereby achieving the non-interference of the blood pressure data of the measured persons, and the unlimited number of registered users. The blood pressure measuring device using the present method does not need to manually switch users when performing blood pressure measurement, and the operation is more convenient.
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