Wearable lower limb gait intelligent detecting walking device

Abstract

The invention discloses a wearable lower limb gait intelligent detecting walking device. The device comprises a seat mechanism, thigh mechanisms, knee joint mechanisms, crus mechanisms and shoe cover mechanisms; the thigh mechanisms are movably connected with the seat mechanism, and the shoe cover mechanisms are connected with the crus mechanisms; each knee joint mechanism comprises a knee joint outer plate and a knee joint inner plate, an outer plate shaft is fixedly installed on each knee joint outer plate, an inner plate shaft is fixedly installed on each knee joint inner plate, each knee joint outer plate is provided with a straight line slot extending in the vertical direction, each inner plate shaft is movably clamped in the corresponding straight line slot, each knee joint inner plate is provided with a curve slot, each outer plate shaft is movably clamped in the corresponding curve slot, the upper portion of each knee joint inner plate is fixedly connected with the corresponding thigh mechanism, and the lower portion of each knee joint outer plate is fixedly connected with the corresponding crus mechanism. According to the wearable lower limb gait intelligent detecting walking device, a personal gait database is formed and used for doctor diagnosis and rehabilitation, walking and sitting are more convenient, and operation is easy and convenient.

Description

technical field [0001] The invention belongs to the fields of medical testing equipment and sports equipment, and in particular relates to a wearable walking device for intelligent detection of gait of lower limbs. Background technique [0002] With the intensification of the aging society and the frequent occurrence of daily traffic accidents, the number of patients with lower limb paralysis continues to increase, and the demand for medical rehabilitation of patients is increasing. Existing human lower limb rehabilitation training mainly relies on physical therapists to carry out hand-to-hand limb movements with their personal experience. However, the physical therapist's personal experience is relatively subjective, and the walking habits of the individual patient are not fully considered, and there is no historical database of normal walking for reference. This rehabilitation method is not scientific. In addition, nurses, teachers, counter attendants, factory assembly li...

AI Technical Summary

Problems solved by technology

However, the physical therapist's personal experience is relatively subjective, and the walking habits of the individual patient are not fully considered, and there is no historical database of normal walking in the previous period for reference. This rehabilitation method is not scientific

In addition, nurses, teachers, counter attendants, factory assembly line workers and other jobs that require standing for a long time are likely to cause occupational diseases such as spinal nerve compression, varicose veins of the lower limbs, and knee joint pain; at the same time, these jobs require frequent short-distance movement, which is inconvenient to sit in a fixed position all the time. on the chair

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