Speech recognition high blood pressure symptom acquisition and artificial intelligence analysis device

Abstract

The invention provides a speech recognition high blood pressure symptom acquisition and artificial intelligence analysis device. The speech recognition high blood pressure symptom acquisition and artificial intelligence analysis device includes a temperature monitoring sensor interface, a blood oxygen monitoring sensor interface, an electrocardiogram monitoring sensor interface, a blood pressure monitoring module interface, a data transmission interface, a power switch, a temperature monitoring sensor, a blood oxygen monitoring sensor, an electrocardiogram monitoring sensor, a blood pressure monitoring module, a voice receiving device, a speech recognition device, a central processing device, a wireless transmission device, a mobile device, a data intelligent analysis unit, a power controlunit, a storage device and a display device. The blood pressure monitoring module includes a blood pressure monitoring sensor and a signal processing circuit. A health status of patients after the patients take high blood pressure drugs is monitored through various health parameter detection devices. Through the blood pressure monitoring sensor and the signal processing circuit, the accuracy of blood pressure monitoring is improved, and through the data intelligent analysis unit, the high blood pressure data of the patients are analyzed emphatically.

Description

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AI Technical Summary

Benefits of technology

This innovation makes it possible for electronic devices like smartphones or tablets equipped with sensors to accurately detect their own blood pressures by measuring changes caused by small movements on its surface. It achieves this through amplification techniques such as low-temperature polysilicon (LTS) transistor technology used in analog circuits.

Problems solved by technology

Technical Problem: Current solutions require users to remember multiple things like medications before going through any tests, making them difficult if needed frequently. Additionally, current systems lack effective ways to measure changes over longer periods without relying heavily upon complex operations and expensive components.

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