# A Construction Method of Lower Limb Rehabilitation Robot with Remote Control System
## 1 Introduction
Furthermore, [5] examines the perceived barriers and facilitators of telerehabilitation (TR) for stroke patients, caregivers, and rehabilitation therapists in Asia. It suggests that patient attributes and context are significant determinants in the adoption and compliance of stroke patients to technology-driven interventions like TR. The work in [5] further proposes to create awareness and understanding of telerehabilitation among older patients in a variety of ways. Moreover, [6] proposes action observation therapy for children with cerebral palsy based on a telerehabilitation environment. Additionally, [7] designs a telerehabilitation robot that can be used at home by stroke patients. The robot supports three-dimensional rehabilitation and its adaptive controller optimizes the whole process. The designed robot in [7] further undergoes initial usability testing to develop it into a rehabilitation system for home use. The needs of older adults and caregivers related to their mobility needs and the technical requirements of assistive robots are investigated in [8]. The analysis in [8] indicates four categories of needs from the perspective of the elderly individual and three categories from the caregivers' viewpoints. Mobility functions of the robot are investigated to improve the wellbeing of the elderly. In [9], the authors evaluated a home-based telerehabilitation system in patients with chronic hemiparetic stroke. After a period of clinical trials, this home-based system was shown to be effective in providing telerehabilitation, education, and secondary stroke prevention to participants. Hocoma company has also developed a lower limb rehabilitation robot called Andago, which can realize ground-bearing movement training. Further in [10; 11] the usability of the Andago and its acceptance by patients and therapists were investigated. It was further shown that Andago can be used safely under therapeutic supervision for overground gait training in stroke patients presenting moderate to severe gait disorders. Additionally, [12] proposes to build asynchronous training and treatment framework in a multilateral telerehabilitation system. It is also shown that increasing the number of collaborative working robots during telerehabilitation enables meeting the goals of simultaneous treatment and training. It is also discussed in [13] that there is a great potential for wearable ankle robots in telerehabilitation. The work in [13] discusses the design of the rehabilitation robot, human-computer interaction, logic controller, visual-haptic contact design, web-based communication between the user and the remote therapist, and user-friendly. The designed software in [13]consists of three parts: patient database, graphic user interface, and virtual reality practice library. The work in [14] also introduces a single-degree-of-freedom rehabilitation robot and a new telerehabilitation robot system. Doctors can use the remote control system to conduct video communication with patients, set the training mode, and control the parameters of the robot. The remote rehabilitation robot also collects data from the patient's training process through sensors. Research shows that the telerehabilitation robot system has good reliability. It can improve the efficiency of rehabilitation training and address shortages of medics. Robots can also improve the effectiveness of assisted rehabilitation by motivating patients to participate. The work in [15] presents a game-based telerehabilitation system that combines a graphical user interface and a robotic arm to enable interaction between doctor and patient. The experimental results and participant feedback indicate that the telerehabilitation system can solve the rehabilitation needs of specific patients and help doctors in evaluating the rehabilitation progress of patients. The telerehabilitation system can also reduce medical costs and at the same time improve the quality of life of the rehabilitation users.