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Journals / Balkan Journal of Electrical and Computer Engineering / 2026 / Cilt: 5 Sayı: 1

Wireless Hand Rehabilitation System (WHRS)

Aytek Gücüyener
Erkan Kaplanoğlu
Pages
9–13
Publication Date
2016-02-28
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

With this purpose, a system that consists of three units communicate with each other wirelessly and which could be used even without a physical therapist.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Loss of motor skills in hand due to several reasons affects daily life in a negative way.
📊
Key Findings & Data:This shall increase the work load of physical therapist.
💡
Conclusion & Impact:With this purpose, a system that consists of three units communicate with each other wirelessly and which could be used even without a physical therapist.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Rehabilitation hand · wireless control · mobile rehabilitation

Abstract

Loss of motor skills in hand due to several reasons affects daily life in a negative way. Treatment or rehabilitation must be applied in order to reactivate motor skills. Different systems were developed in the rehabilitation process by benefiting from technology. Those systems work as telerehabilitation-based or with external skeleton manipulator. An internet connection is required for telerehabilitation-based systems and a physical therapist must carry out the rehabilitation process for systems with external skeleton manipulator. This shall increase the work load of physical therapist. In this study, it is aimed to decrease the work load of physical therapist and develop a hand rehabilitation system with easier and more flexible usage. With this purpose, a system that consists of three units communicate with each other wirelessly and which could be used even without a physical therapist.

🔖

Cite This Article

Gücüyener, A., Kaplanoğlu, E. (2016). Wireless Hand Rehabilitation System (WHRS). Balkan Journal of Electrical and Computer Engineering, Cilt: 5 Sayı: 1, 9–13. https://ajindex.com/articles/1373384

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References (26)

  1. Zhang, S., Guo, S., Gao, B., Hirata, H., Ishihara, H.,(2015), “Design of a novel telerehabilitation system with a force-sensing mechanism.”, Sensors, Vol.15, pp. 11511-11527, ISSN: 14248220, (Switzerland)
  2. Durfee, K. W., Weinstein, A. S., Carey, R. J., (2005), “Home stroke telerehabilitation system to train recovery of hand function”, 9th International Conference on Rehabilitation Robotics, pp.353-356 [3] Pyk, P., Wille, D., Chevrier, E., (2008), “A Paediatric Interactive Therapy System for Arm and Hand Rehabilitation”, IEEE Journal Virtual Rehabilitation. pp. 127-132
  3. Sha, M., Varley, R. M., Richards, J., (2009), “Overcoming the information overload problem in a multiform feedback based virtual reality system for hand motion rehabilitation”, International Conference on CyberWorlds., pp 51–56
  4. Leonardis, D., Barsotti, M., Loconsole, C., Solazzi, M., Troncossi, M., Mazzotti, C. & Frisoli, A. (2015), “An EMG-controlled robotic hand exoskeleton for bilateral rehabilitation”, Vol.8, No.2, pp.140 – 151
  5. Heuser, A.; Kourtev, H.; Winter, S.; Fensterheim, D.; Burdea, G.; Hentz, V.; Forducey, P., (2007), “Telerehabilitation Using the Rutgers Master II Glove Following Carpal Tunnel Release Surgery: Proof-of- Concept”, Neural Systems and Rehabilitation Engineering, IEEE Transactions, Vol.15, pp. 43 – 49
  6. Cortese, M.; Cempini, M.; de Almeida Ribeiro, P.R.; Soekadar, S.R.; Carrozza, M.C.; Vitiello, N.A.,(2015), “Mechatronic System for Robot- Mediated Hand Telerehabilitation”, Mechatronics, IEEE/ASME Transactions, Vol.20, pp.1753 – 1764
  7. XBee ZigBee http://www.digi.com/products/xbee-rf-solutions /modules /xbee-zigbee, Access Date: 01.04.2015. [9] 2.2 inch Flex Sensor https://www.sparkfun.com /products /10264 Access Date: 15.04.2015. [10] 4.5 inch Flex Sensor https://www.sparkfun.com /products /8606 Access Date: 15.04.2015
  8. Arduino Uno, https://www.arduino.cc /en /Main /ArduinoBoardUno, Access Date: 20.04.2015
  9. Map Function, https://www.arduino.cc /en /Reference /Map, Access Date: 23.04.2015
  10. SG 5010 servo motors, http://www.towerpro.com.tw /product /sg5010-4/, Access Date: 20.04.2015. [14] uLCD-32PTU touch screen, http://www.4dsystems.com.au/product /uLCD _32PTU / Access Date: 01.11.2015
  11. DS1302 RTC datasheet, http://datasheets.maximintegrated.com /en /ds /DS1302.pdf, Access Date: 01.11.2015
  12. Wireless SD Shield, https://www.arduino.cc /en /Main /Arduino Wireless Shield, Access Date: 12.04.2015
  13. Arduino Mega 2560, https://www.arduino.cc /en /Main /arduino Board Mega 2560, Access Date: 12.04.2015
  14. Zhang, S., Guo, S., Gao, B., Hirata, H., Ishihara, H.,(2015), “Design of a novel telerehabilitation system with a force-sensing mechanism.”, Sensors, Vol.15, pp. 11511-11527, ISSN: 14248220, (Switzerland)
  15. Durfee, K. W., Weinstein, A. S., Carey, R. J., (2005), “Home stroke telerehabilitation system to train recovery of hand function”, 9th International Conference on Rehabilitation Robotics, pp.353-356 [3] Pyk, P., Wille, D., Chevrier, E., (2008), “A Paediatric Interactive Therapy System for Arm and Hand Rehabilitation”, IEEE Journal Virtual Rehabilitation. pp. 127-132
  16. Sha, M., Varley, R. M., Richards, J., (2009), “Overcoming the information overload problem in a multiform feedback based virtual reality system for hand motion rehabilitation”, International Conference on CyberWorlds., pp 51–56
  17. Leonardis, D., Barsotti, M., Loconsole, C., Solazzi, M., Troncossi, M., Mazzotti, C. & Frisoli, A. (2015), “An EMG-controlled robotic hand exoskeleton for bilateral rehabilitation”, Vol.8, No.2, pp.140 – 151
  18. Heuser, A.; Kourtev, H.; Winter, S.; Fensterheim, D.; Burdea, G.; Hentz, V.; Forducey, P., (2007), “Telerehabilitation Using the Rutgers Master II Glove Following Carpal Tunnel Release Surgery: Proof-of- Concept”, Neural Systems and Rehabilitation Engineering, IEEE Transactions, Vol.15, pp. 43 – 49
  19. Cortese, M.; Cempini, M.; de Almeida Ribeiro, P.R.; Soekadar, S.R.; Carrozza, M.C.; Vitiello, N.A.,(2015), “Mechatronic System for Robot- Mediated Hand Telerehabilitation”, Mechatronics, IEEE/ASME Transactions, Vol.20, pp.1753 – 1764
  20. XBee ZigBee http://www.digi.com/products/xbee-rf-solutions /modules /xbee-zigbee, Access Date: 01.04.2015. [9] 2.2 inch Flex Sensor https://www.sparkfun.com /products /10264 Access Date: 15.04.2015. [10] 4.5 inch Flex Sensor https://www.sparkfun.com /products /8606 Access Date: 15.04.2015
  21. Arduino Uno, https://www.arduino.cc /en /Main /ArduinoBoardUno, Access Date: 20.04.2015
  22. Map Function, https://www.arduino.cc /en /Reference /Map, Access Date: 23.04.2015
  23. SG 5010 servo motors, http://www.towerpro.com.tw /product /sg5010-4/, Access Date: 20.04.2015. [14] uLCD-32PTU touch screen, http://www.4dsystems.com.au/product /uLCD _32PTU / Access Date: 01.11.2015
  24. DS1302 RTC datasheet, http://datasheets.maximintegrated.com /en /ds /DS1302.pdf, Access Date: 01.11.2015
  25. Wireless SD Shield, https://www.arduino.cc /en /Main /Arduino Wireless Shield, Access Date: 12.04.2015
  26. Arduino Mega 2560, https://www.arduino.cc /en /Main /arduino Board Mega 2560, Access Date: 12.04.2015.