Friday, 26 May, 2017

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RehaBot

Hstar developed an advanced robotic rehabilitation (RehaBot) system that helped patients undergoing gait training therapy for neurological and muscular injuries or functional impairments, to accomplish a wide range of ambulatory tasks.

RehaBot - Gait

RehaBot 01

Gait training therapy helps individuals with spinal cord injuries (SCI) stand and walk with mechanical or human assistance. Many researchers agree that gait training should begin as soon after injury as is prudently possible. The theory is that if the SCI does not result in a complete severing of the spinal nerves, then prompt resumption of a walking action may allow an injured patient to strengthen the connectivity between the brain and the spinal cord, thus enhancing the ability to step.

RehaBot could allow therapists to work simultaneously with multiple patients at individual stations, thus maximizing the number of patients receiving treatment. Additionally, RehaBot can help relieve physical therapists from the burden of heavy, repetitive, and labor-intensive work some training regimens currently demand, and instead focus on the quality of treatment.

Advantage of RehaBot:

  • Human - Robot Interaction that allows for dynamic adjustment in force and resistance;
  • Facilitating the performance of movements that are highly-repeatable;
  • Allows for different terrains to be used; Mimic satisfactorily gait in real-life conditions;
  • Safe, reconfigurable and desirable impedance control capacity that allows for haptic feedback and real-time monitoring;
  • Capturing emotional information in virtual reality (VR)-based human-computer interaction systems designed for neuro-rehabilitation
  • Allows for patient and provider communications
  • Operate at remote site for out-patient training.

RehaBot 02

RehaBot 03

 US Patent Pending - "A Lower Extremity Robotic Rehabilitation System"

 

RehaBot - Arm

Development of an upper limb wearable exoskeleton rehabilitation robot system for neurological and muscular function recovery and retraining of dexterous manipulation skills requires: 1) safe actuation mechanism, 2) sufficient motion control, 3) correct joint structure, 4) selection of a sensory package for training measurement, and 5) effective patient-robot interaction.

Hstar has developed the RehaBot-Arm to ensure a successful training process robotically while maximizing therapeutic outcome. The RehaBot-Arm should be adaptable to the patient limb in terms of segment lengths, range of motion, and DOF. An adaptable design approach was applied to use one upper exoskeleton device for both arms rehabilitation therapy. The RehaBot-Arm device should also provide basic capacity of performing free motion with defined trajectories, strength conditioning control and advanced manipulation skills such as grasping both soft and hard object under human guidance and direct commands.

The figure shows the prototyped Hstar’s RehaBot-Arm device prototyped and tested an entire hardware control algorithms for upper limb rehab.

 

RahBot-Arm VR-base Rehabilitation Procedure

Hstar designed the rehabilitation procedure by applying physics-based VR rehabilitation environments. The subject who is wearing RehaBot-Arm stretching their arm toward the virtual target (e.g., balloon) to touch the target.

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