Skip to main content

Analysis of the Positive Effect of Robot-Assisted Virtual Reality Technology on Rehabilitation of Motor Function and Nerve Function in Cerebral Stroke Patients

Buy Article:

$107.14 + tax (Refund Policy)

To investigate the effects of robot-assisted (RA) virtual reality (VR) intervention on motor function (MF) and nerve function (NF) in patients with cerebral stroke (CS), 60 patients with cerebral apoplexy hemiplegia in convalescence stage were randomly divided into conventional group (CG) and experimental group (EG) (30 patients in each group). The CG received routine rehabilitation training (RT), and the EG used robot VR technology for RT. Brunnstrom classification and Fugl-meyer score were used to evaluate upper limb (UL) function. Maslach Burnout Inventory (MBI) and Motor Activity Scale (MAL) were used to evaluate the activity ability of patients. NF was assessed using the neurological impairment (NI) scale and the incidence of sleep disorders within a month. The recurrence rate of CS and the incidence of vascular cognitive impairment (VCI) within one month were calculated to evaluate the impact of RA rehabilitation on the disease of the patients. The results showed that both groups of patients were able to actively cooperate with doctors and complete the daily training volume. The score of Fugl-meyer in both groups was greatly higher than that before treatment (P < 0.05), and the Brunnstrom score in the EG was greatly higher than that in the CG (P < 0.05). The MBI and MAL grades were greatly higher than those before treatment (P < 0.05), and the EG was greatly higher than the CG (P < 0.05). The scale of NI score of the EG was greatly lower than that of the CG (P < 0.05). The rate of sleep disturbance in the EG was greatly lower than that in the CG (P < 0.05). The incidence of CS recurrence and VCI in the EG was greatly lower than that in the CG (P < 0.05), which shows that RAVR technology combined with psychological intervention can effectively improve the MF and NF of patients with CS and reduce the recurrence rate of patients, which provides experimental data for clinical rehabilitation treatment of CS.

Keywords: CS PATIENTS; MOTOR FUNCTION; NERVE FUNCTION; ROBOT ASSISTANCE; VR TECHNOLOGY

Document Type: Research Article

Publication date: 01 February 2021

More about this publication?
  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content