Intelligent Systems for Rehabilitation Engineering. Группа авторов

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Intelligent Systems for Rehabilitation Engineering - Группа авторов


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Area of rehabilitation robotics explored Remarks [56] Stability of teaching-in method The stability was analyzed applying it to rehabilitation robotics. The least error and fastest settling force were also calculated, and analysis was done on the elasticity of force sensor. [57] Devices that allowed humans to visualize and feel The prototype required motor control and the ability to learn about human motor tasks and capability to adapt to different situations. [58] Pneumatic actuated orthosis The system was developed for stroke patients. The system was capable of performing position control of the robotic arm and learning from the movement and storing it for movement the next time. [59] Design and interfacing of active leg exoskeleton (ALEX) The device included a force-field controller for applying forces for proper movement, and the experimental results based on it were also presented. [60] Importance of psychological factors in rehabilitation The article described challenges faced while using the closed-loop control of bio-cooperative rehabilitation systems. [61] Method for the stability analysis The method consisted of the ability to customize as per the recovery rate of the patient and had a controller to suppress the unintended movements. [62] Admittance control algorithm on hand rehabilitation The system consisted of a single degree of freedom. The robot was under development, and a preliminary report was generated, which showed positive results.

      1.2.7 Assistive Robotic Systems

      1.2.8 Limb Injury

      Importance of development of rehabilitation robotics for the patients who suffered from upper limbs impairment was highlighted [67]. An application of wireless sensing technology in rehabilitation robotics was presented for patients who had upper limb injury due to stroke [68]. For the rehabilitation of upper limb injury patients, a task-oriented robotic system ADAPT was designed, and its performance was evaluated [69].

      1.2.9 Motion Detection

      The intended motion of hand for hemiparetic hand patients was done using sEMG signals. It was introduced in the form of a soft glove [74].

Ref. number Area of rehabilitation robotics explored Remarks
[14] Gentle/G system for patients with brain injury The design, control, and application of an experimental setup were presented for the rehabilitation. The robot had six active and three passive degrees of freedom.
[24] Virtual Gait Rehabilitation Robotics (ViGRR) A novel concept for rehabilitation robotics; its insights were based on ViGRR and did not require any therapist.
[33] VR in rehabilitation robotics Approaches made to cure neurologically disordered patients, and the importance of exercises by clinical robots was presented.
[41] Mechatronic rehabilitation robotics A systems approach, mobility sensors, cost/benefit ratio, and softness were discussed. The importance of softness was also discussed and was considered as an important factor.
[65] Robotic-assisted
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