Multi-inertial-node wireless monitoring and evaluation system and method for upper limb rehabilitation training

Abstract

The invention relates to a multi-inertial-node wireless monitoring and evaluation system for upper limb rehabilitation training, comprising motion sensors, a master control chip, a power management circuit and an upper computer; the motion sensors and the master control chip form motion capture nodes; data are transmitted between the motion sensor and the master control chip through IIC (inter-integrated circuit) protocol; the motion sensor and the master control chip are connected with a lithium battery through the power management circuit; the master control chip is connected with the uppercomputer through wireless communications. The multi-inertial-node wireless monitoring and evaluation system for upper limb rehabilitation training has the advantage that the problem is partly solved that upper limb training modes in existing household rehabilitation are irregular and cause high workload to nursing staff.

Description

technical field [0001] The invention relates to a multi-inertia node wireless monitoring and evaluation system and method in upper limb rehabilitation training, belonging to the technical fields of rehabilitation training and motion capture. Background technique [0002] At present, the technologies for capturing human motion are generally divided into five categories: mechanical, acoustic, electromagnetic, inertial sensor, and optical, among which optical and inertial sensors are the two most widely used. The optical type uses a photoelectric sensor to collect the movement trajectory of the person to be tested, and then uses multiple cameras with different angles to shoot the reflective points of the photoelectric sensor to achieve motion capture. This method has high requirements for the environment and has the following disadvantages: Easily affected by backlight, high cost, and high hardware requirements for image resolution. Traditional inertial sensors are mostly wire...

AI Technical Summary

Problems solved by technology

The optical type uses a photoelectric sensor to collect the movement trajectory of the person to be tested, and then uses multiple cameras with different angles to shoot the reflective points of the photoelectric sensor to achieve motion capture. This method has high requirements for the environment and has the following disadvantages: Easily affected by backlight, high cost, high hardware requirements for image resolution

Traditional inertial sensors are mostly wired. Too many signal lines will affect the movement of the arm and cause trouble to the rehabilitation training process.

[0003] Rehabilitation training needs to choose different training methods in different time periods. In the initial stage of stroke rehabilitation treatment, it is necessary to use professional equipment for training under the professional guidance of a physical therapist. The advantage of this kind of rehabilitation training is that it is more professional and the effect is the best. Good, but the disadvantage is that the cost is high and it takes up more resources

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