A dual-task approach to the evaluation of the myokinemetric signal as an alternative to EMG

Canderle, J.; Kenney, Laurence; Bowen, Audrey; Howard, David; Chatterton, H.

doi:10.1109/iembs.2004.1404262

Cited by 3 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A protocol similar to that reported by Canderle et al (2004) was adopted. It comprised a series of 1-D visuomotor cancellation tests presented on a computer screen.…”

Section: Experiments Protocolmentioning

confidence: 99%

“…Therefore, it suggests that the relationships between the neural activity and measured signal may determine both the control accuracy and the degree of attention required. A few studies have been reported to investigate the differences between two muscle signals for prosthesis motor control purposes (Canderle et al 2004). In this study, we attempted to compare the performances of 1-D SMG and surface EMG in terms of accuracy and cognitive requirements.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Comparative Evaluation of Sonomyography, Electromyography, Force, and Wrist Angle in a Discrete Tracking Task

Guo¹,

Zheng²,

Kenney³

et al. 2011

Ultrasound in Medicine & Biology

View full text Add to dashboard Cite

“…A protocol similar to that reported by Canderle et al (2004) was adopted. It comprised a series of 1-D visuomotor cancellation tests presented on a computer screen.…”

Section: Experiments Protocolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comparative Evaluation of Sonomyography, Electromyography, Force, and Wrist Angle in a Discrete Tracking Task

Guo¹,

Zheng²,

Kenney³

et al. 2011

Ultrasound in Medicine & Biology

View full text Add to dashboard Cite

“…Alternative biosensors, like myokinemetric sensors [3], [4], mechanomyographic sensors [5] and accelerometers [6] have been used for upper limb pattern recognition in more general terms but have not produced accuracies acceptable for prosthetic use.…”

Section: Introductionmentioning

confidence: 99%

A multi-modal approach for hand motion classification using surface EMG and accelerometers

Fougner

Scheme

Chan

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

Abstract--For decades, electromyography (EMG) has been used for diagnostics, upper-limb prosthesis control, and recently even for more general human-machine interfaces. Current commercial upper limb prostheses usually have only two electrode sites due to cost and space limitations, while researchers often experiment with multiple sites.Micro-machined inertial sensors are gaining popularity in many commercial and research applications where knowledge of the postures and movements of the body is desired. In the present study, we have investigated whether accelerometers, which are relatively cheap, small, robust to noise, and easily integrated in a prosthetic socket; can reduce the need for adding more electrode sites to the prosthesis control system. This was done by adding accelerometers to a multifunction system and also to a simplified system more similar to current commercially available prosthesis controllers, and assessing the resulting changes in classification accuracy.The accelerometer does not provide information on muscle force like EMG electrodes, but the results show that it provides useful supplementary information. Specifically, if one wants to improve a two-site EMG system, one should add an accelerometer affixed to the forearm rather than a third electrode.

show abstract

Evaluation of sonomyography (SMG) for control compared with electromyography (EMG) in a discrete target tracking task

Guo

Zheng

Kenney

et al. 2009

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

Most of the commercial upper-limb externally powered prosthetic devices are controlled by electromyography (EMG) signals. We previously proposed using the real-time change of muscle thickness detected using ultrasound, namely sonomyography (SMG), for the control of prostheses. In this study, we compared the performance of subjects using 1-D SMG signal and surface EMG signal, using a discrete target tracking protocol involving a series of letter cancellation tasks. Each task involved using grip force, EMG or SMG from a wrist extensor muscle to move a cursor to one of 5 locations on a computer screen, at the first four of which were located a letter and last of which was a word of "NEXT". The target was defined by the location showing the letter "E" and, once the subject reached this target, they were instructed to "cancel" the E from the screen, using a button operated by the contralateral hand. A paired t-test revealed that the percentage of letters correctly cancelled with force/angle and SMG signal in isometric force control, and with SMG in wrist extension were significantly higher than with EMG (P<0.05) for both isometric control and wrist extension. The results suggest that SMG signal has great potential as an alternative to EMG for prosthetic control.

show abstract

A dual-task approach to the evaluation of the myokinemetric signal as an alternative to EMG

Cited by 3 publications

References 10 publications

A Comparative Evaluation of Sonomyography, Electromyography, Force, and Wrist Angle in a Discrete Tracking Task

A Comparative Evaluation of Sonomyography, Electromyography, Force, and Wrist Angle in a Discrete Tracking Task

A multi-modal approach for hand motion classification using surface EMG and accelerometers

Evaluation of sonomyography (SMG) for control compared with electromyography (EMG) in a discrete target tracking task

Contact Info

Product

Resources

About