Rehabilitation evaluation method and system based on wearable sensor

Abstract

The invention discloses a rehabilitation evaluation method and system based on a wearable sensor. The method comprises the steps that: for a to-be-detected person, an inertia measurement unit is used for collecting knee joint posture information and calculating the knee joint movement range in the walking process; gait parameters during walking are obtained, and a gait function is estimated; supine straight leg lifting time and prone straight leg lifting time are acquired, and muscle strength information is estimated; and the rehabilitation condition of the to-be-detected person is evaluated on the basis of the knee joint movement range, the gait function and the muscle strength information. According to the rehabilitation evaluation method and system based on the wearable sensor of the invention, a patient can complete rehabilitation evaluation at home; the practicability and reliability of the method and system are high, and the economic burden of the patient is reduced.

Description

technical field [0001] The present invention relates to the technical field of rehabilitation assessment, and more particularly, to a recovery assessment method and system based on wearable sensors. Background technique [0002] Osteoarthritis is a degenerative disease characterized by damage to articular cartilage and reactive proliferation of joint margins and subchondral bone, caused by aging, obesity, trauma, and other factors. Osteoarthritis greatly affects activities of daily living and quality of life, requiring total knee replacement (TKR) in severe cases. Comprehensive, systematic and scientific rehabilitation assessment is a crucial step after total knee arthroplasty. Through rehabilitation assessment, it is possible to discover the problems of patients after surgery in a timely manner, understand the aspects in need of help, and then formulate a feasible rehabilitation treatment plan. Proper rehab exercises can relax the joint capsules and ligaments, prevent ost...

AI Technical Summary

Problems solved by technology

[0009] 1) The biggest problem with existing assessment techniques is the constraints of time and space, which means that patients must complete the assessment with the help of hospital physiotherapists, and cannot complete the task of home rehabilitation assessment by themselves, which increases the financial burden of patients and hospital resources

[0010] 2) The existing evaluation methods are cumbersome to operate and the process is complicated, which is relatively troublesome for doctors and patients

[0011] 3) The existing limb tracking technology used for gait and knee joint range of motion estimation has the disadvantages of high price and high cost, such as Vicon and constant velocity (Cybex) and other equipment are all tens to millions, which is not only It is suitable for patients to use at home, and it is also a great economic burden for hospitals

[0012] 4) The existing rehabilitation estimation algorithms based on wearable sensor devices have poor operability, many measurement parameters, and low feasibility for patients to use at home

[0013] 5) The existing rehabilitation assessment scheme based on wearable sensors is not perfect and systematic, and there are few assessment indicators, and only the estimation of a single indicator such as joint range of motion is designed

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