Designing and Manufacturing a Model of a Smart Wheelchair Controlled by Patients ‎with Complete Cervical Spinal Cord Injury ‎

Document Type : Original Article

Authors

1 Department of Electrical and Biomedical Engineering, Faculty of Engineering and Technology, Shahid Ashrafi Esfahani University, Isfahan, Iran

2 Department of Bioelectric and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences (IUMS),, Isfahan, Iran

3 Department of Biomedical Engineering, Faculty of Engineering, Sheikhbahaee University, Isfahan, Iran

Abstract

Purpose:
The purpose of this study is to rehabilitate people with quadriplegia as a result of complete cervical spine injure (CCSI). Given the limitations of today's wheelchairs, a model for patients with CCSI who are unable to use joystick wheelchairs or move conventional wheelchairs manually is designed here to overcome these limitations. In this regard, a disabled person can move the wheelchair without the need for another person, just by moving his head.
Methods:
In order to have an initial model similar to a wheelchair, we made a wooden back support and seat that has a length of 25, a width of 23 and a height of 26 cm. There are two 7 cm aluminum wheels on either side of the replica for movement and two idler ball wheels to maintain balance at the rear and front. The movement of the prototype‎ backward and forward and its left and right rotation are controlled by four infrared transmitter sensors and four corresponding receivers installed in appropriate places around the prototype. Using the sensors installed on the replica, the movement of the disabled’s head in any of the four directions causes one of the receiver sensors to react and the wheelchair to move in the expected direction.
Results:
All electronic circuits and mechanical parts required for information processing and application of control commands to the wheelchair were designed and implemented by the parts available in the Iranian Market Achievement of the expected performance by the designed model based on practical tests is confirmed. Therefore, this design has the capability to become an industrial prototype.
Conclusion:
The results of this project can be used to add intelligent movement control to conventional wheelchairs in an easy and economical manner.

Keywords

References

  1. Baldwin KM, Haddad F, Pandorf CE, Roy RR, et al. Alterations in muscle mass and contractile phenotype in response to unloading models: role of transcriptional/pretranslational mechanisms. Front Physiol 2013; 4: 284.
  2. Shirzadfar H. The Structure and Function of Nervous System and Skeletal Muscle: A Review. Current Neuropsychiatry and Clinical Neuroscience Reports 2021; 3(1): 1-25.
  3. Sundaram SA, Wang H, Ding D, Cooper RA. Step-Climbing Power Wheelchairs: A Literature Review. Top Spinal Cord Inj Rehabil 2017; 23‏ (2): 98-109.
  4.  Scheffler E, Mlambo T, Nhunzvi C, et al. Impact of structured wheelchair services on satisfaction and function of wheelchair users in Zimbabwe. African Journal of Disability 2016; 5(1): 222.
  5. Damiano DL. Activity, activity, activity: rethinking our physical therapy approach to cerebral palsy. Phys Ther. 2006; 86(11): 1534-1540.
  6. Barriuso AL, Pérez-Marcos J, Jiménez-Bravo DM, Gonzalez GV, et al. Agent-based intelligent interface for wheelchair movement control. Sensors 2018; 18(5): 1511.
  7. Cooper RA, Cooper R, Boninger ML. Trends and issues in wheelchair technologies. J Assist Technol 2008; 20(2): 61-72.
  8. Bigras C, Owonuwa DD, Miller WC, Archambault PS. A scoping review of powered wheelchair driving tasks and performance-based outcomes. Disabil Rehabil Assist Technol 2020; 15(1): 76-91.
  9. Orejuela-Zapata JF, Rodriguez S, Ramirez GL. Self-Help Devices for Quadriplegic Population: A Systematic Literature Review. IEEE Trans Neural Syst Rehabil Eng 2019; 27(4): 692-701.
  10. Nowshin N, Rashid MM, Akhtar T, Akhtar N, et al. Infrared Sensor Controlled Wheelchair for Physically Disabled People. Proceedings of The Future Technologies Conference (FTC) 2018; 881(2): 847-855.
  11. Shirani A, Sehhati M. Design and implementation of a customable automatic vehicle location system in ambulances and emergency vehicle systems. J Med Signals Sens 2019; 9(3): 165-173.
  12. Rabhi Y, Mrabet M, Fnaiech F. A facial expression controlled wheelchair for people with disabilities. Comput Methods Programs Biomed. 2018; 165: 89-105.
Journal of Paramedical Sciences & Rehabilitation
Volume 10, Issue 3
December 2021
Pages 31-37

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