Tissue component non-invasive detection device, tissue component non-invasive detection system and wearable equipment

Abstract

The embodiment of the invention discloses a tissue component non-invasive detection device, a tissue component non-invasive detection system and wearable equipment. The device comprises a light sourcemodule, a detection module and a processing module, wherein the detection module is in communication connection with the processing module; the light source module is used for respectively emitting incident light under each preset wavelength to a measured part; the detection module is used for obtaining a light intensity value emitted from the surface of a detected part at each preset position according to each preset wavelength and sending each light intensity value to the processing module, and each preset position is away from the center of the incident light at a corresponding preset distance; and the processing module is used for determining the concentration of a tissue component to be detected according to each light intensity value under each preset wavelength. According to the embodiment of the invention, the light intensity value emitted from the detected part can be directly processed, so that the light loss is reduced, and the detection efficiency is improved. Due to the fact that the size of the detection device is greatly reduced, the device is easy to wear and fix on the detected part, and the stability of detection conditions can be guaranteed.

Description

technical field [0001] The invention relates to the technical field of spectral detection, in particular to a miniaturized and wearable non-invasive detection device, system and wearable device for tissue components. Background technique [0002] The body fluid of the human body contains a variety of tissue components, such as blood sugar, fat, and white blood cells. The concentration of each tissue component must be within its corresponding concentration range to ensure the healthy operation of the human body. However, for some individuals, because the tissue composition is prone to imbalance, that is, the concentration of the tissue composition is not within the numerical range, which will cause the body to suffer from diseases, endanger health and even life. Therefore, for such individuals, it is necessary to adjust the tissue composition Perform real-time detection. [0003] Because the optical method has the characteristics of rapidity, non-invasiveness and multi-dimen...

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Problems solved by technology

[0004] However, it is found that at least the following problems exist in the prior art: one, the signal-to-noise ratio is low

Since the diffusely scattered light emitted by the tissue to be measured is relatively weak, the change of the diffusely scattered light caused by the concentration change of the tissue components to be measured is also weak, and the light receiving efficiency is low. Therefore, the signal of the received diffusely scattered light signal The noise ratio is low, which directly affects the detection accuracy of the tissue components to be tested, resulting in low detection accuracy; second, the detection conditions vary greatly

Since the tissue to be tested is soft tissue, each time the detection device is placed on the measured site for measurement, due to the different detection conditions, the change of diffuse scattered light caused by the detection conditions is much greater than that caused by the concentration of the tissue components to be measured. Changes in diffuse scattered light caused by changes, the above-mentioned results in low detection accuracy

Among them, the detection conditions can include the incident position of the incident light, the incident angle of the incident light, the contact pressure and the temperature of the measured part; third, the background noise of the measured individual itself is large

The water, fat and protein in the blood of the measured individual are easily affected by their own background noise such as physiology and psychology because the measured individual is a living body, making it difficult to extract weak signals under the interference of large background noise. The above results in low detection accuracy

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