Near-infrared sensor based muscle group information detection device

Abstract

Disclosed is a near-infrared sensor based muscle group information detection device which comprises multiple near-infrared sensor modules, a data acquisition and transmission module, a data processing module, a power module and a wearing module. The near-infrared sensor modules are used for detecting information of multiple skeletal muscles in a muscle group. The data processing module is used for solving and calculating by utilizing a physiological module to acquire blood oxygen parameters of the muscle group so as to realize real-time monitoring on the blood oxygen parameters of the muscle group. The data processing module performs feature extraction and algorithm classification on the blood oxygen parameters of the muscle group, and matches classification results with body movement information to acquire movement information of the muscle group so as to realize real-time monitoring on movement of the muscle group. The data processing module utilizes and transmits the movement information of the muscle group to a linear classifier for classification according to difference of feature matrixes corresponding to body movement modes so as to recognize the body movement modes. The near-infrared sensor based muscle group information detection device further comprises a bio-mechatronics interface which provides the body movement modes.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a near-infrared sensor-based muscle group information detection device. Background technique [0002] The basic principle of functional near-infrared spectroscopy (fNIRS) is that the relative transmittance of the tissue to the near-infrared spectrum (650-1000nm) is better, and the main absorbing substances in the tissue are Hb (reduced hemoglobin), HbO 2 (oxyhemoglobin) and water. Therefore, the near-infrared light of different wavelengths is used to irradiate the tissue to obtain the scattered and absorbed light. According to a certain physiological model, the information of blood oxygen metabolism during muscle activity—the change of oxyhemoglobin concentration (△[HbO 2 ]) and changes in reduced hemoglobin concentration (△[Hb]). [0003] 1977 It is first proposed that fNIRS can be used to detect forehead blood oxygen parameters. In the 1980s, researchers began to a...

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Problems solved by technology

[0004] The NIRS products developed by universities and enterprises at home and abroad are also used to monitor the changes in blood oxygen parameters of muscles, but they all detect the skeletal muscles of a single limb, and have not realized the monitoring of blood oxygen parameters of muscle groups.

In addition, portability and data stability during exercise cannot be guaranteed

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