Posts Tagged Force feedback

[Abstract+References] Robot assisted rehabilitation of the arm after stroke: prototype design and clinical evaluation

Abstract

Robot assisted rehabilitation training is a promising tool for post-stroke patients’ recovery, and some new challenges are imposed on robot design, control, and clinical evaluation. This paper presents a novel upper limb rehabilitation robot that can provide safe and compliant force feedbacks to the patient for the benefits of its stiff and low-inertia parallel structure, highly backdrivable capstan-cable transmission, and impedance control method in the workspace. The “assist-as-needed” (AAN) clinical training principle is implemented through the “virtual tunnel” force field design, the “assistance threshold” strategy, as well as the virtual environment training games, and preliminary clinical results show its effectiveness for motor relearning for both acute and chronic stroke patients, especially for coordinated movements of shoulder and elbow.

Supplementary material

11432_2017_9076_MOESM1_ESM.pdf (1.7 mb)

Robot assisted rehabilitation of the arm after stroke: prototype design and clinical evaluation
11432_2017_9076_MOESM2_ESM.mp4 (96.2 mb)

Supplementary material, approximately 96.2 MB.
11432_2017_9076_MOESM3_ESM.mp4 (43.6 mb)

Supplementary material, approximately 43.6 MB.

Source: Robot assisted rehabilitation of the arm after stroke: prototype design and clinical evaluation | SpringerLink

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[Conference paper] Virtual Environments for Motor Fine Skills Rehabilitation with Force Feedback – Abstract+References

Abstract

In this paper, it is proposed an application to stimulate the motor fine skills rehabilitation by using a bilateral system which allows to sense the upper limbs by ways of a device called Leap Motion. This system is implemented through a human-machine interface, which allows to visualize in a virtual environment the feedback forces sent by a hand orthosis which was printed and designed in an innovative way using NinjaFlex material, it is also commanded by four servomotors that eases the full development of the proposed tasks. The patient is involved in an assisted rehabilitation based on therapeutic exercises, which were developed in several environments and classified due to the patient’s motor degree disability. The experimental results show the efficiency of the system which is generated by the human-machine interaction, oriented to develop human fine motor skills.

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Source: Virtual Environments for Motor Fine Skills Rehabilitation with Force Feedback | SpringerLink

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