Application scenarios of gait analysis equipment
1. Medical rehabilitation field
Disease diagnosis and evaluation
Assist in identifying abnormal gait (such as gait freezing and dragging gait) caused by neurological diseases such as Parkinson’s disease, stroke, and spinal cord injury, and provide quantitative diagnostic basis through plantar pressure distribution and gait cycle parameters;
Screen for abnormal foot structure (flat feet, high arches, inversion and inversion of feet) and joint diseases (osteoarthritis, hip joint dysfunction), and locate mechanical imbalance areas with three-dimensional motion capture data.
Postoperative rehabilitation and training optimization
Monitor the gait recovery progress of patients after fractures and joint replacements, and dynamically adjust the intensity and cycle of rehabilitation training;
Provide baseline data such as gait symmetry and walking speed for stroke patients to guide physical therapy and assistive device adaptation.
Pain management and risk warning
Analyze painful gait (such as lameness and shortened support phase), identify the source of pain and formulate intervention plans;
Real-time monitoring of gait stability through smart insoles, and early warning of chronic disease risks such as diabetic foot and plantar fasciitis.

2. Sports Science and Competitive Sports
Prevention of Sports Injuries
Detect the force pattern of the soles of the feet in high-intensity sports such as running and jumping, locate abnormal movements such as excessive internal rotation/external rotation, and reduce the risk of knee and ankle injuries;
Optimize the athlete’s step length, step frequency and energy consumption, and improve movement coordination and sports performance.
Sports Equipment Research and Development
Design personalized running shoes or orthopedic insoles based on plantar pressure data to improve cushioning performance and support structure;
Provide biomechanical data support for sports brands to optimize the functionality and comfort of footwear products.
3. Orthotics and Foot Health Management
Personalized Orthopedic Design
Combining three-dimensional gait data with plantar pressure distribution, guide the hardness zoning and support point design of 3D printed orthopedic insoles to correct the deviation of the force line of the lower limbs;
Develop mechanical correction plans for bone development problems such as scoliosis and foot varus and valgus in children.
Fall risk intervention for the elderly
Analyze the gait speed, stride variability and center of gravity stability, assess the fall risk level and formulate intervention strategies;
Improve balance ability through gait training and delay age-related gait function deterioration.
IV. Scientific research and education field
Biomechanical research
Study the gait characteristics of rodent models (such as spinal cord injury, neuropathic pain), explore disease mechanisms and treatment methods;
Analyze the development law and compensatory mechanism of human gait, and provide a theoretical basis for motor dysfunction.
Teaching and clinical training
Demonstrate pathological gait characteristics (such as Parkinson’s gait, hemiplegic gait) through visual gait models, and assist medical school teaching and clinical skills training;
Use dynamic gait data to simulate rehabilitation effects and improve the scientific nature of treatment plan formulation.
V. Industry and public services
Shoes and insole research and development
Provide foot morphology and pressure distribution data for shoemaking companies to support shoe last design and function optimization;
Develop smart insoles with integrated gait monitoring functions for health management wearable devices.
Public health screening
Carry out foot health screening in physical examination centers and community medical institutions to detect foot deformities and gait abnormalities at an early stage;
Provide gait stability and athletic ability assessment for military service tests and sports college selection.
Gait analysis equipment comprehensively covers medical, sports, industrial and scientific research scenarios through multimodal data integration and cross-domain collaborative applications, promoting the iterative upgrade of precision diagnosis and treatment and health management technologies.
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