Intended Use
Provides hand joint range of motion training for patients with hand injuries involving nerves, muscles, and skeletal structures.
- 🔸 Integrating sensor technology to detect the finger movements of your unaffected hand and translates them into precise instructions to guide your damaged hand’s fingers.
- 🔸 The affected hand is moved by an actuator-driven robotic hand to provide continuous passive range-of-motion training of the finger joints.
Indications
Patients with impaired hand motor function due to nerve, muscle, or skeletal injuries that require rehabilitation.
Robotic hand
- 🔸 Lightweight (<800 grams).
- 🔸 The unique mechanism design allows fine movement of the fingers of the hand.
- 🔸 Made of a metallic material with high rigidity.
- 🔸 Allows the distance between the thumb and index finger to be adjusted according to training needs.

Control Box
- 🔸 Compact and space-saving.
- 🔸 Lightweight (<300 grams).
- 🔸 Simple design, easy button operation.

Sensor Glove
- 🔸 Weighs less than 200 grams.
- 🔸 Built-in sensors detect individual finger movements of the hand.

Publications
Yi-Mei Chen, Szu-Shen Lai, Yu-Cheng Pei, Chia-Ju Hsieh, Wei-Han Chang, Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeletal Robotic Hand, J Vis Exp. 2020 May 20;(159). doi: 10.3791/61057. PMID: 32510515.
Jian-Jia Huang, Yu-Cheng Pei, Yi-Yu Chen, Shen-Shiou Tseng, Jen-Wen Hung, Bilateral Sensorimotor Cortical Communication Modulated by Multiple Hand Training in Stroke Participants: A Single Training Session Pilot Study, Bioengineering 2022, 9(12), 727; https://doi.org/10.3390/bioengineering9120727
Yi-Mei Chen, Szu-Shen Lai, Chia-Ju Hsieh, Wei-Han Chang Improvement of hand function using robot-assisted rehabilitation in a patient with neuromyelitis optica spectrum disorder: a case study, ISPRM 2020, Orlando, Florida
Di Ma, Xin Li, Quan Xu, Fei Yang, Yu Tong Feng, Wen Xu Wang, Jian-Jia Huang, Yu-Cheng Pei and Yu Pan, Robot-assisted bimanual training improves hand function in patients with subacute stroke: A pilot study, Front Neurol. 2022 Jul 6;13:884261. doi: 10.3389/fneur.2022.884261. PMID: 35873779; PMCID: PMC9298653.
Chia-Yu Hsu, Yuh-Show Tsai, Hung-Hai Shie, Chu-Ming Wu, Effects of robot-assisted passive range of motion training in combination with conventional rehabilitation on hand function in patients with chronic stroke, Journal of Rehabilitation Medicine, 54, jrm00323. https://doi.org/10.2340/jrm.v54.1407