Software and hardware system for rehabilitation of cognitive disorder patient after upper limb apoplexy

Abstract

The invention relates to medicine. The invention discloses a hardware / software system for rehabilitation of a cognitive disorder patient after an upper limb stroke. The hardware / software system comprises a virtual reality glove, a controller with a sensor, an electroencephalograph and a computer provided with a specific task game. The glove is configured with built-in sensing elements that can track finger and hand movements in space. A controller is located on the shoulder joint to collect information about shoulder joint motion during exercise in the game. Wherein the computer is configuredto receive information from the aforementioned device; carrying out computer analysis on the received information related to the brain, arm muscles and fine exercise skills of the patient; determiningthe fatigue degree of the patient; exercise in the game is automatically adjusted, and the most effective exercise is selected; and storing the rehabilitation result of the patient in a database. According to the invention, more effective rehabilitation is provided for patients with cognitive impairment after upper limb apoplexy.

Description

technical field [0001] The technical proposal relates to the fields of computer and medicine, in particular to a software and hardware system for rehabilitation of patients with cognitive impairment after upper limb stroke. Background technique [0002] Worldwide, 15 million people have a stroke every year, 5 million die within a few days, and another 5 million become disabled. In 2010, about 33 million people in the world lived with stroke sequelae. Cognitive impairment (CI) contributes to patient disability and social disturbance, and in some cases plays a larger role than movement disturbance. On average, the incidence of CI after stroke is high, occurring in about half of patients. [0003] In this context, post-stroke ataxias occur in 80% of cases, they are one of the leading causes of persistent disability and represent one of the global goals of continuous neurorehabilitation. Furthermore, usually, recovery of upper extremity function occurs at a later date and oft...

AI Technical Summary

Problems solved by technology

[0013] However, the above-mentioned solutions have limited functionality in terms of lack of possibilities for analysis of movement patterns, prediction of patient's desired movements, impossibility to collect analyzes for all patients and store rehabilitation results in an analysis storage database, impossibility during rehabilitation Involving different parts of the patient's hand and wrist

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