Artificial intelligence chip-based wearable biological information monitoring device and method

Abstract

The invention discloses an artificial intelligence chip-based wearable biological information monitoring system and method. The device comprises an analog front-end circuit module, a digital front-endmodule and a system on chip (SOC); the analog front-end circuit module generates a voltage pulse for exciting an ultrasonic transducer, receives an echo electric signal collected by an ultrasonic area array transducer, and performs impedance matching on the echo electric signal, and after undergoing amplification and analog/digital conversion, the echo electric signal after undergoing impedance matching is input into the digital front-end module; the SOC carries out different operation on the biological information original data according to an imaging purpose and an imaging mode to obtain animaging region of interest and key structure points, and a control instruction is output to the digital front-end module; after the digital front-end module receives the control instruction output bythe SOC, echo signals of required imaging points are collected, and dynamic beam forming is carried out on the echo signals; and beam-formed signals undergo filtering, quadrature demodulation, batchprocessing and flow velocity estimation, ultrasonic image reconstruction and real-time imaging are realized.

Description

technical field [0001] The present disclosure relates to the field of biological information monitoring, in particular to a wearable biological information monitoring device and method based on an artificial intelligence chip. Background technique [0002] Various physiological parameters of the human body, from commonly used blood pressure, body temperature, heart rate, pulse, to more complex organ activity states, all change under different physiological states or different pathological states. The physiological changes of various parameters are the response of the human body to adapt to the coordinated work of various organs and tissues in different states, while the changes of various parameters in the pathological state reflect the state of the human body's disease process. Obtaining these parameters clinically is usually measured in various states, such as changes in blood pressure and heart rate after exercise, which should be measured immediately after exercise. Ther...

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Problems solved by technology

During the research and development process, the inventor found that the common problem of the above schemes is the low accuracy rate, and the existing solution is to increase the complexity of the equipment to obtain more comprehensive and accurate biological information, which means that the equipment must perform more information processing , which will inevitably lead to an increase in the size of the device, which will not only increase the power consumption of the device, which is not conducive to wearing, but also cause a poor wearing experience

In addition, fluid dynamic parameters such as tissue blood flow and intra-articular pressure are important parameters for evaluating the function of organs, tissues, and especially small joints. These indicators are difficult to achieve through the current wearable detection technology.

What is more important is the visualization of the collected biological information, such as the movement of blood vessels and the display of blood flow velocity. This requires not only the calculation of the collected information, but also the image reconstruction after signal processing, which requires more integrated circuits and boards. Cards and other hardware devices, and due to the large amount of calculation and high power consumption, even if some systems upload the collected information to the cloud or network, and use cloud computing or network platforms for signal processing, they still face the problem of real-time transmission efficiency of a large amount of data

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