[Abstract+ References] Upper Limb Rehabilitation Electromechanical System for Stroke Patients – Conference paper

Abstract

The mechanical and electrical system of upper limb rehabilitation is a kind of medical equipment which relies on the aid of machine to help stroke patients to carry out upper limb activity training. Many stroke patients can not move independently, which greatly limits their lives. In this paper, we have learned the etiology and symptoms of stroke patients, scientifically formulated their training methods and movements, and fully considered the safety and practicability of the equipment, and used relatively light materials as far as possible. For stroke patients to provide a safe, comfortable, effective upper limb wearable exoskeleton machine, can be anytime and anywhere rehabilitation training, simple appearance, low cost, suitable for stroke patients to use, to help them recover. Realize the independence of movement.

 References

1. 1.
   Gentile, M., Iualè, M., Mengoni, M., Germani, M.: Design of a system for upper-limb rehabilitation based on an electromechanical orthosis and sEMG wireless sensors. In: ASME International Design Engineering Technical Conferences & Computers & Information in Engineering Conference (2013)Google Scholar
2. 2.
   Cifuentes, C., Braidot, A., Rodriguez, L., et al.: Development of a wearable ZigBee sensor system for upper limb rehabilitation robotics. In: 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob). IEEE (2012)Google Scholar
3. 3.
   Tang, B.: Application of piezoelectric patches for chatter suppression in machining processes. Measurement 138, 225–231 (2019)CrossRefGoogle Scholar
4. 4.
   Zeiaee, A., Soltani-Zarrin, R., Langari, R., Tafreshi, R.: Design and kinematic analysis of a novel upper limb exoskeleton for rehabilitation of stroke patients. In: 2017 International Conference on Rehabilitation Robotics (ICORR) (2017)Google Scholar
5. 5.
   Liu, H., Du, T., Wang, T., Fan, J., Qu, Y.: Design and trial operation of tele-rehabilitation gradient motor function self-evaluating system for stroke patients. Zhongguo yi liao qi xie za zhi = Chin. J. Med. Instrum. 42(2), 88–91 (2018)Google Scholar
6. 6.
   Meng, F., Tong, K.Y., Chan, S.T., Wong, W.W., Lui, K.H., Tang, K.W., et al.: BCI-FES training system design and implementation for rehabilitation of stroke patients (2008)Google Scholar
7. 7.
   Hesse, S., Kuhlmann, H., Wilk, J., Tomelleri, C., Kirker, S.G.B.: A new electromechanical trainer for sensorimotor rehabilitation of paralysed fingers: a case series in chronic and acute stroke patients. J. Neuroeng. Rehabil. 5(1), 21 (2008)CrossRefGoogle Scholar
8. 8.
   Shahine, E.M., Shafshak, T.S.: Central neuroplasticity and lower limbs functional outcome following repetitive locomotor training in stroke patients. PM&R 4(10), S297–S298 (2014)Google Scholar

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[Abstract] Artificial intelligence-based interactive virtual reality-assisted gaming system for hand rehabilitation

Abstract

Over the past few years, the use of the off-the-shelf video game platform as a rehabilitation tool has gained much interest in physiotherapy. In this paper, we describe an avenue for the integration of virtual reality (VR) and artificial intelligence (AI) based game tracking techniques applied for the purposes of improving the effectiveness of home-care hand physical therapy. We provide an overview of the software and hardware implementation of the prototype based on a LEAP motion sensor input device, which provides two 850nm wavelength infrared (IR) tracking cameras, and an Oculus virtual reality headset. In this initial study, an interactive game is developed on the Unity VR gaming platform that dynamically adjusts the levels of the game to the player performance based on adaptive hand gesture tracking and analysis Al algorithms. A preliminary game evaluation study is conducted on a human subject that showcases the efficiency of the proposed method.

via Artificial intelligence-based interactive virtual reality-assisted gaming system for hand rehabilitation