A step towards home-based robotic rehabilitation: An interface circuit for EEG/SEMG actuated orthosis

Raichur, Amogh; Wihardjo, Gunadi; Banerji, Subhasis; Heng, John

doi:10.1109/aim.2009.5229760

Cited by 8 publications

(2 citation statements)

References 15 publications

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“…Furthermore, because the electromagnetic waves generated by electrical and electronic devices easily interfere with the sEMGa, a high common-mode rejection ratio has been considered by Zhu et al (2008), who designed a front-end amplifier to inhibit the common-mode rejection ratio. A household-type EMG acquisition system was developed by taking into account the cost, serviceability and complexity (Raichur et al, 2009). Indeed, little work has been conducted on the acquisition speed and processing ability of a large amount of data.…”

Section: Introductionmentioning

confidence: 99%

The design of a recognition system for multi-function electrical rubber hand

You

Zhou²,

Huang

2016

Transactions of the Institute of Measurement and Control

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There is an issue with the timely application of artificial intelligence to humankind, particularly to the disabled. In this paper, we propose a surface electromyography signal recognition system for prosthetic application to persons with disabled hands, which achieves simplicity, reliability, accuracy and a short response time by increasing the performance of each part of the system and the coordination between the interconnected components. First, a surface electromyography signal acquisition system was designed on the basis of the cost and processing speed. Second, a method called the ‘extreme value’ was carried out on the original signal containing five continuous movements, by separating the signal into isolated segments representing different postures, which made application of the system for daily use possible. Third, on the basis of time-domain, chaos-theory and time–frequency-domain analysis methods, four features, namely the average amplitude, fractal dimension, maximum Lyapunov exponent and wavelet coefficient, were extracted from four possible arm locations to be determined. Furthermore, the average amplitude from the extensor digitorum and the wavelet coefficient from the flexor pollicis longus were determined as the final features after comparing the clustering effects of the extracted features. Finally, a new strategy for classifying the different postures based on a back-propagation neural network was introduced to obtain an average system accuracy of 82.77% for five continuous movements.

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Section: Introductionmentioning

confidence: 99%

The design of a recognition system for multi-function electrical rubber hand

You

Zhou²,

Huang

2016

Transactions of the Institute of Measurement and Control

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“…Morrow et al15 reduced the cost of hardware by integrating several low-cost components based on a modified Xbox (Microsoft Corporation, Redmond, RA) gaming system for poststroke hand rehabilitation 15. Raichur et al16 developed an accelerated stroke rehabilitation platform based on electroencephalography/surface electromyography signals to enable home use. Burke et al17 proposed a low-cost visual tracking system for home-based, upper-limb stroke rehabilitation, without the need for expensive or special equipment, and which could be independently operated by the patient.…”

Section: Introductionmentioning

confidence: 99%

An interactive game-based shoulder wheel system for rehabilitation

Chang¹,

Chang²,

Chang³

et al. 2012

PPA

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Background:Increases in the aging population and in the number of accidents have resulted in more people suffering from physical impairments or disabilities. Rehabilitation therapy thus attracts greater attention as a means of helping patients recover and return to a normal life. With the extremely long and tedious nature of traditional rehabilitation, patients are reluctant to continue the entire process, thus the expected effects of the therapy cannot be obtained. Games are well known to help patients improve their concentration and shift their attention away from the discomfort of their injuries during rehabilitation. Thus, incorporating game technology into a rehabilitation program may be a promising approach.Methods:In this study, a gaming system used for shoulder rehabilitation was developed. The mechanical parts and electric circuits were integrated to mimic the functionalities of a shoulder wheel. Several games were also designed to suit the rehabilitation needs of the patients based on the age and gender differences among the individual users, enabling individuals to undergo the rehabilitation process by playing games. Two surveys were conducted to evaluate the satisfaction of the participants regarding the gaming system.Results:The results of the online survey among a larger population coincide with the responses of the hands-on participants through a paper-and-pencil survey. Statistical results suggest that the participants are willing to accept this novel approach.Conclusion:This gaming system can distract a patient from the sensation of pain or anxiety, and increase their motivation to participate in the therapeutic program. Advantages in terms of low-cost and easy setup increase the attractiveness of this new equipment for various potential users.

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