Prosthetics, exoskeletons, and rehabilitation [Grand Challenges of Robotics]

Dellon, Brian; Matsuoka, Yoky

doi:10.1109/mra.2007.339622

Cited by 129 publications

(55 citation statements)

References 5 publications

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“…An sEMG is widely used in many studies because it is completely noninvasive. The system used in the present study allowed 10 shoulder-related muscles to be measured using 10 channels (Table 2) (11) . Preamplified EMG lead (gain: 500, passband: 10-1000 Hz, Noraxon Inc., USA) wires were used as round disposable electrodes.…”

Section: Measurements and Data Acquisitionmentioning

confidence: 99%

Electromyograph Analysis during Isokinetic Testing of Shoulder Joint in Elderly People

Hong

Kim

Hong

et al. 2012

JBSE

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This study aimed to analyze the muscular activity associated with the proper function, stability, and mobility of the shoulder joint. In the field of orthopedics, the shoulder joint is recognized as having extensive mobility. Using an electromyograph (sEMG), the muscular activity in 10 elderly male subjects was analyzed during joint movements while performing isokinetic exercises. The muscular activity of an agonist was analyzed using both the percent maximum voluntary contraction (%MVC) and the EMG (µV) value before normalization. The %MVC quantified four motions (flexion, extension, abduction, and adduction) for the 10 upper limb muscles whereas the latter did not. The results showed that the pectoralis major (clavicular insertion) activated as an agonist during abduction and adduction. A comparison of when the muscles activated based on each motion revealed that the middle deltoid muscle activated the fastest during abduction. This research is expected to facilitate measurement of the shoulder function for both rehabilitation equipment and their associated programs.

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Section: Measurements and Data Acquisitionmentioning

confidence: 99%

Electromyograph Analysis during Isokinetic Testing of Shoulder Joint in Elderly People

Hong

Kim

Hong

et al. 2012

JBSE

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“…Robotic actuators are also highly varied in prosthetics and are beyond the the scope of this review. However, a number of systems have previously been discussed [28,29,30,31,32].…”

Section: Review Of Current Intracortical Electrode Systemsmentioning

confidence: 99%

Implanted intracortical electrodes as chronic neural interfaces to the central nervous system

Henderson

2015

Preprint

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Recent developments in neural interfaces show that it is possible to have fine control of a robotic prosthetic by interfacing with the motor cortex of the human brain. Development of long term systems for this purpose is a challenging task with many different possibilities. Intracortical implants have shown the most promise in providing enough signal selectivity and throughput for complex control systems with many degrees of freedom. Intracortical systems generally fall into two categories: MEMS devices and bundle of wire systems. While both show promise, MEMS systems have been greatly popularized due to their reproducibility. In particular, the Michigan probe and Utah microarray are often used as a base for construction of more complex intracortical systems. However, these systems still carry many downsides. Their long-term viability is questionable, with mixed results. The effects of damage from implantation are still inconclusive and immune responses remain a problem for long-term use. While there is some promising research in the use of bioactive molecules and biocompatible materials to prevent immune responses, more controlled study is needed before intracortical systems become widespread.

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“…The major challenges faced in prosthetics are: electromechanical implementation, use of EMG control signals and the interface between robotic and clinical communities [26]. Designing a robotic mechanism which is fully capable of integrating with human neuromuscular system is a tough proposition.…”

Section: Future Challenges and Directionsmentioning

confidence: 99%

“…The requirements can only be fulfilled if the apparatus is of light and flexible material with small but powerful actuators, size effective electronic components, sensors which can easily adapt with the skin and a long lasting battery life. Only then the machine will qualify to be used in everyday practical life [26].…”

Section: Future Challenges and Directionsmentioning

confidence: 99%

Signal Acquisition Using Surface EMG and Circuit Design Considerations for Robotic Prosthesis

Jamal¹

2012

Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges

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Prosthetics, exoskeletons, and rehabilitation [Grand Challenges of Robotics]

Cited by 129 publications

References 5 publications

Electromyograph Analysis during Isokinetic Testing of Shoulder Joint in Elderly People

Electromyograph Analysis during Isokinetic Testing of Shoulder Joint in Elderly People

Implanted intracortical electrodes as chronic neural interfaces to the central nervous system

Signal Acquisition Using Surface EMG and Circuit Design Considerations for Robotic Prosthesis

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