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The Application Prospects of Gait Analysis Devices in Orthotic Insoles

Gait analysis equipment has great prospects, which is mainly reflected in the following aspects:

1. Personalized customization is the general trend.

Traditional corrective insoles are basically standard templates.

But this standard template is difficult to accurately match the foot structure of each person.

Everyone’s foot is unique.

Therefore, if you want to get good results with corrective insoles, you need to customize them.

The main function of the gait analysis equipment is to collect plantar pressure distribution data, gait cycle, arch height changes, etc. These are the scientific data basis for customized personalized corrective insoles, so that each pair of insoles can be “customized to the foot.”

2. It can be widely used in clinical rehabilitation and sports medicine.

Gait analysis equipment can help patients evaluate foot health, such as evaluating whether flat feet, high arches, and inversion of the foot appear.

For patients with knee arthritis and abnormal lower limb force lines, gait analysis equipment can be used to measure data such as plantar pressure distribution, which can provide data support for the designated corrective insoles to redistribute plantar force and relieve joint burden.

The data measured by the gait analysis equipment can also optimize the athlete’s gait and design corresponding insoles for the athlete, which can reduce sports injuries.

Foot Pressure Analysis System

3. Application in data platformization, inference of remote rehabilitation and monitoring.

The data is measured by the gait analysis equipment and then uploaded to the cloud synchronously. It can be linked with smart insoles, foot rings, etc. to achieve the following functions:

(1) The patient walks at home for testing, and the doctor can remotely understand the changes in his gait and provide personalized suggestions and guidance plans.

(2) The use effect of the corrective insole can be monitored and subsequent optimization can be carried out.

(3) The changes in the user’s gait data can be tracked over a long period of time, so that possible foot problems can be discovered in time and the risk of certain diseases can be prevented in advance.

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