[Abstract + References] Discussion on AI-Based Interactive System of Cerebral Stroke Rehabilitation System – Conference paper

Abstract

Objective: To understand the relatively complete cerebral stroke rehabilitation systems in some foreign countries and relevant AI-based technical supports, and to find out and improve the defects in the interactive system of cerebral stroke rehabilitation system in China.

Method: Analyze and compare the differences between domestic and overseas cerebral stroke rehabilitation systems, and related AI-based technologies mainly through literature research and desk research method, so as to summarize the interactive modes and development trends of the interactive system of cerebral stroke rehabilitation system.

Result: This paper puts forward the concept of interactive system of cerebral stroke rehabilitation system regarding the “hospital – family – hospital” structure, which complies with the domestic situation, in order to provide reference for the subsequent development, but it still needs further improvement in realizing its intelligence and universality.

Conclusion: With the rapid development of AI and the continuous increase of cerebral stroke patients, the traditional cerebral stroke rehabilitation system can no longer meet the actual situation in China, so it is of great necessity to integrate AI into it to create a more convenient interactive system and rehabilitation training for both patients and doctors.

References

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Source: https://link.springer.com/chapter/10.1007/978-3-030-53980-1_48

[Abstract+References] Interactive System for Hands and Wrist Rehabilitation – Proceedings of the International Conference on Information Technology & Systems (ICITS 2018)

Abstract

An Interactive system is presented for the rehabilitation of hands and wrists using the leap motion device and the Unity3D software. Two applications were created with several movements were by programming such as flexion, wrist extension, pronation, supination and adduction. Through the interfaces the users have immersion and perform the exercises correctly because at the end of the game a visual and audible feedback is presented. Five people used the system and then the SEQ usability test was applied with results of 59.6. This indicates that the system has a good acceptance and can be used for rehabilitation.

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via Interactive System for Hands and Wrist Rehabilitation | SpringerLink

[Abstract] An Interactive System for Fine Motor Rehabilitation – Rehabilitation Nursing

Abstract

Purpose

One of the most important aspects in neuromotor rehabilitation is the need of feedback for patients. The rehabilitation system’s efficiency relies on the therapist’s judgment, who tells the patient whether he/she is performing the exercises correctly. This process may be quite subjective, because it depends on the therapist’s personal opinion. On the other hand, recent studies have shown that vibrotactile biofeedback can improve the effectiveness of interaction as it is a very helpful tool in the physiological process of neuromotor rehabilitation.

Design

We designed an interactive system focused on rehabilitation of the upper limbs using active markers and image processing, which consists of drawing activities in both augment and virtual reality.

Methods

System gives to the user a correction through multimodal stimuli feedback (vibrotactile, visual and sound stimulus) and force measurement to let the patients know if they are not achieving the tasks’ goals.

Findings

The developed system could be used by nursing assistants to better help patients. The purpose of this system was assisting patients with injuries to shoulders, elbows or wrists, providing an audio-vibrotactile feedback as a factor of correction in the movements of the patient. To examine our system, 11 participants were asked to participate in an experiment where they performed activities focussed to strengthen their fine motor movements.

Conclusions and Clinical Relevance

Our results show that patients’ fine motor skills improved 10% on average by comparing their error rates throughout the sessions.

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Source: An Interactive System for Fine Motor Rehabilitation – Posada-Gómez – 2016 – Rehabilitation Nursing – Wiley Online Library