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Robotic Prosthesis

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Re-Fill

Prosthetic Finger (2018)

Prosthetic Finger (2018)

Upper Limb Power Assistant Robot : KULEX-10 (2013)

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Re-Fill

Winner – Platinum

Competition: Spark:Fall Concept
Designer: Yeoeun Kim
Design Type: Medical
Organization: Korea Institute of Science & Technology (KIST)
Team Members: Yeoeun Kim, Gu-Cheol Jung & Keehoon Kim

Re-Fill replicates finger movement by interpreting the body’s EMG signals. When patients visualize moving their missing fingers, it stimulates certain hand muscles they never realized they had before. Re-Fill interprets these muscle signals and replicates patients’ finger movements accordingly. Two pairs of four-bar linkage systems implement a movement path for proximal phalanx and middle phalanx, as well as realize two degree-of-freedom mechanisms from a single linear motor. And the more user used it, the more sophisticated user’s EMG data signals became. Furthermore, the prosthetic appendage allowed him to see how each finger related to the others, thereby enhancing finger movement even further. In most society, people have difficulty accepting others’ differences. As a result, patients with missing fingers hide their disability as best they can, so as not to seem abnormal to their peers. Re-Fill can help restore these socially disrupted individuals to their former social standing

Must Read

 1. Keehoon Kim, “A review of haptic feedback through peripheral nerve stimulation for upper extremity prosthetics,” Current Opinion in Biomedical Engineering, vol. 21, 2022, 100368.

 2. Jae Hyung Lee, Ye Eun Oh, Hyun Joo Lee, Keehoon Kim, Song Joo Lee, “Quantification of Upper Limb Isometric Force Control Abilities for Evaluating Upper Limb Functions Among Prosthetic Users”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp.2559-2568, 10.1109/TNSRE.2021.3133539, 2021.

 3. Man Bok Hong, Sin Jung Kim, Yong Seok Ihn, Gu-Cheol Jeong, and Keehoon Kim, “KULEX-Hand: An Underactuated Wearable Hand for Grasping Power Assistance,” IEEE Transactions on Robotics, DOI: 10.1109/TRO.2018.2880121. (SCI, IF 4.264, JCR 5.769%)

 4. Keehoon Kim, J. Edward Colgate, “Haptic Feedback Enhances Grip Force Control of sEMG-Controlled Prosthetic Hands in Targeted Reinnervation Amputees,” IEEE transactions on Neural Systems and Rehabilitation Engineering, vol. 20, no.6, pp. 798-805, Nov. 2012. (SCIE, IF 3.26, JCR 4.7%)

 5. Paul D. Marasco, Keehoon Kim, J. Edward Colgate, Michael A. Peshkin, Todd A. Kuiken, “Robotic Touch Shifts Perception of Embodiment to a Prosthesis in Targeted Reinnervation Amputees,” Brain, vol. 134, no. 3, pp. 747-758, Mar. 2011. (SCI, IF 9.46, JCR 2.1%)

 6. Keehoon Kim, J. Edward Colgate, Julio J. Santos-Munne, Alex Makhlin, Michael A. Peshkin, “On the Design of Miniature Haptic Devices for Upper Extremity Prosthetics,” IEEE-ASME transactions on Mechatronics, vol. 15, no. 1, pp. 27-39, Feb. 2010. (SCI, IF 2.58, JCR 2.6%)1.20, SCI)

Surgical Techniques

 1. Maria Florencia Deslivia, Hyun-Joo Lee, Rizki Fajar Zulkarnain, Bin Zhu, Arnold Adikrishna, In-ho Jeon, Keehoon Kim, “The Effect of Split Nerve on Electomyography Signal Pattern in a Rat Model,” Jornal of Reconstructive Microsurgery, vol. 34, no. 2, pp.95-102, 2018. (SCIE, IF 2.216, JCR 36.0%, 2016) 

 2. Maria Florencia Deslivia, Hyun-joo Lee, Rizki Fajar Zulkamain, Zhu Bin, Arnold Adikrishna, In-ho Jeon, Keehoon Kim, “Reinnervated Split-muscle Technique for Creating Additional Myoelectric Sites in Animal Model,” Journal of Plastic and Reconstructive Surgery, Vol.138, No.6, pp.997-1010, December, 2016. (SCI, IF 3.84, JCR 11.7%, 2016)

Shoud see sEMG articles to understand how to control prosthesis

 1. 로봇 손가락 구조체 (Patent No. 10-1610745 KR, 005986 PCT)

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