Abstract
With the development of medicine and the improvement of people’s living standards, the issue of rehabilitation is getting more and more attention. Gait rehabilitation provides a brand-new treatment method for patients with walking disfunction. It is currently recognized as an advanced rehabilitation medical method in the world. In recent years, the number of patients suffering from dyskinesias in the lower limbs in China has been increasing, and the society's demand for walking rehabilitation treatment is also increasing. The emergence of gait rehabilitation solves the problem of fewer therapists and more patients, reduces the intensity of the therapist’s work, and has the incomparable advantage that traditional rehabilitation methods lack. However, because there are no mature related products in China at present, and the prices of foreign products are very expensive, domestic medical institutions have not yet put them into practice. Accelerating the development of gait re-habilitation equipment is of great significance for improving China’s medical level, improving the quality of life of patients, and reducing social burden. Usually, high-precision optical sensors are installed on human limbs or using high-speed cameras to capture motion. However, due to the high cost of the equipment, the relative high price of image processing software when processing the collected motion data. In this paper, the acceleration sensors are installed on the human body and the data in a gait cycle can be obtained. After smoothing, using it as the input signal for gait feature extraction and classification. In order to classify normal gait and abnormal gait for evaluation and better walking rehabilitation.
Highlights
As an important kind of biological information, gait is the posture change that people show when walking
The emergence of gait rehabilitation solves the problem of fewer therapists and more patients, reduces the intensity of the therapist’s work, and has the incomparable advantage that traditional rehabilitation methods lack
It can be considered that the movement of the waist of a healthy person while walking reflects the movement of the person’s center of gravity, and the acceleration signal in the z direction is very regular
Summary
As an important kind of biological information, gait is the posture change that people show when walking It has the characteristics of symmetry, periodicity and individual differences. In many fields such as rehabilitation medicine, bionic design, and human body identification, the research significance and application value of gait have become increasingly prominent. There are two types of research methods for human gait analysis: optical image acquisition technology and sensor information perception technology. Because the latter has the merits of low cost, easy integration, so it is widely used. Rehabilitation engineering is committed to providing patients with auxiliary devices At present, it has been widely used in rehabilitation nursing, prosthesis and rehabilitation treatment. Medical theory and clinical medicine prove that in addition to early surgical treatment and necessary medical treatment, correct and scientific rehabilitation training plays a very important role in the recovery and improvement of limb motor function
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