Hemiplegic patient rehabilitation system based on Kinect interaction and virtual reality

Abstract

The invention discloses a hemiplegic patient rehabilitation system based on Kinect interaction and virtual reality. The system comprises a Kinect interaction module, a motion capture module, a virtual rehabilitation training scene module, a body condition monitoring module, a virtual reality module, a training data analysis module and an emergency alarm module. The motion capture module captures offset motion of a patient, and the Kinect interaction module converts the offset motion of the patient into motion in a virtual rehabilitation training scene; the training data analysis module records data of the patient in the virtual rehabilitation training scene and analyzes and evaluates the data; the physical condition monitoring module monitors the physical condition of the patient in the rehabilitation process; and the emergency alarm module carries out real-time alarm after triggering alarm according to the body data result analyzed by the body condition monitoring module. With the system, the hemiplegic patient can autonomously perform balance rehabilitation training without accompanying of a therapist, medical resources are saved, and meanwhile, the enthusiasm of the hemiplegic patient in rehabilitation training is improved in a game training mode.

Description

technical field [0001] The invention relates to the technical field of VR rehabilitation, in particular to a rehabilitation system, method and storage medium for hemiplegic patients based on Kinect interaction and virtual reality. Background technique [0002] Good balance ability is very important to people, because the completion of various basic actions in people's daily life (such as standing, walking, eating, washing, dressing) all depend on the body's balance function. Balance dysfunction is one of the most common dysfunctions in stroke patients with hemiplegia, which directly affects the walking function of patients and increases the risk of patients falling. Studies have shown that the incidence of falls in stroke patients ranges from 25% to 75%. This not only significantly affects the self-care ability of patients and reduces their quality of life, but also brings a heavy burden to patients, their families and society. Therefore, it is extremely important to help ...

AI Technical Summary

Problems solved by technology

However, both of these methods allow patients to receive treatment passively, ignoring the patient's subjective initiative

Due to the boring rehabilitation training, the lack of active cooperation of patients will affect the enthusiasm of patients for rehabilitation training, thus affecting the treatment effect

In addition, due to the long period of rehabilitation treatment, it will waste a lot of medical resources if the therapist conducts one-on-one rehabilitation training for patients

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