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Proprioceptive Sonomyographic Control: A novel method of intuitive proportional control of multiple degrees of freedom for upper-extremity amputees

Published on Aug 20, 2018in bioRxiv
· DOI :10.1101/387290
Ananya S. Dhawan2
Estimated H-index: 2
(GMU: George Mason University),
Biswarup Mukherjee3
Estimated H-index: 3
(GMU: George Mason University)
+ 6 AuthorsSiddhartha Sikdar17
Estimated H-index: 17
(GMU: George Mason University)
Sources
Abstract
Technological advances in multi-articulated prosthetic hands have outpaced the methods available to amputees to intuitively control these devices. Amputees often cite difficulty of use as a key contributing factor for abandoning their prosthesis, creating a pressing need for improved control technology. A major challenge of traditional myoelectric control strategies using surface electromyography electrodes has been the difficulty in achieving intuitive and robust proportional control of multiple degrees of freedom. In this paper, we describe a new control method, proprioceptive sonomyographic control that overcomes several limitations of myoelectric control. In sonomyography, muscle mechanical deformation is sensed using ultrasound, as compared to electrical activation, and therefore the resulting control signals can directly control the position of the end effector. Compared to myoelectric control which controls the velocity of the end-effector device, sonomyographic control is more congruent with residual proprioception in the residual limb. We tested our approach with 5 upper-extremity amputees and able-bodied subjects using a virtual target achievement and holding task. Amputees and able-bodied participants demonstrated the ability to achieve positional control for 5 degrees of freedom with an hour of training. Our results demonstrate the potential of proprioceptive sonomyographic control for intuitive dexterous control of multiarticulated prostheses.
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  • Citations (2)
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References60
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#1Linda Resnik (Brown University)H-Index: 23
#2He Huang (UNC: University of North Carolina at Chapel Hill)H-Index: 23
Last. Nancy Wolk (UNC: University of North Carolina at Chapel Hill)H-Index: 1
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Background Although electromyogram (EMG) pattern recognition (PR) for multifunctional upper limb prosthesis control has been reported for decades, the clinical benefits have rarely been examined. The study purposes were to: 1) compare self-report and performance outcomes of a transradial amputee immediately after training and one week after training of direct myoelectric control and EMG pattern recognition (PR) for a two-degree-of-freedom (DOF) prosthesis, and 2) examine the change in outcomes o...
14 CitationsSource
#1Han-Jeong HwangH-Index: 16
#2Janne M. HahneH-Index: 9
Last. Klaus-Robert MüllerH-Index: 92
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#1Amir Khan (GMU: George Mason University)H-Index: 9
#2Ananya S. Dhawan (GMU: George Mason University)H-Index: 2
Last. Siddhartha Sikdar (GMU: George Mason University)H-Index: 17
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Recently, ultrasound imaging of muscle contractions has been used by several research groups to infer volitional motor intent of the user, and has shown promise as a novel muscle computer interface. Learning spatiotemporal features from ultrasound image sequences is challenging because of deformations introduced by probe repositioning. The image features are sensitive to probe placement and even small displacements during cross-session donning and doffing of the probe could compromise the classi...
2 CitationsSource
#1Elizabeth Tarbox (GMU: George Mason University)H-Index: 2
#2Nima Akhlaghi (GMU: George Mason University)H-Index: 4
Last. Siddhartha Sikdar (GMU: George Mason University)H-Index: 17
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Ultrasound (US) imaging systems have undergone substantial miniaturization recently and have given rise to many potential applications where battery-based operation is desirable. However, current clinical US systems utilizing pulse-echo imaging require high voltage and short duration transmit pulses along with electronics that operate in the MHz frequency range. As an alternative, we have developed an imaging method that employs time-delay spectrometry (TDS), and uses low-voltage (∼5V peak-to-pe...
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#1Haley R. PipkinsH-Index: 3
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Streptococcus pneumoniae is commonly found in the human nasopharynx and is the causative agent of multiple diseases. Since invasive pneumococcal infections are associated with encapsulated pneumococci, the capsular polysaccharide is the target of licensed pneumococcal vaccines. However, there is an increasing distribution of non-vaccine serotypes, as well as nonencapsulated S. pneumoniae (NESp). Both encapsulated and nonencapsulated pneumococci possess the polyamine oligo-transport operon (potAB...
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#1Reva E. Johnson (Valpo: Valparaiso University)H-Index: 4
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The objective of this study was to understand how people adapt to errors when using a myoelectric control interface. We compared adaptation across 1) non-amputee subjects using joint angle, joint torque, and myoelectric control interfaces, and 2) amputee subjects using myoelectric control interfaces with residual and intact limbs (five total control interface conditions). We measured trial-by-trial adaptation to self-generated errors and random perturbations during a virtual, single degree-of-fr...
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#1Ludger van Dijk (UMCG: University Medical Center Groningen)H-Index: 6
#2Corry K. van der Sluis (UMCG: University Medical Center Groningen)H-Index: 7
Last. Raoul M. Bongers (UMCG: University Medical Center Groningen)H-Index: 19
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The aim of this study is to establish the effect of task-oriented video gaming on using a myoelectric prosthesis in a basic activity of daily life (ADL). Forty-one able-bodied right-handed participants were randomly assigned to one of four groups. In three of these groups the participants trained to control a video game using the myosignals of the flexors and extensors of the wrist: in the Adaptive Catching group participants needed to catch falling objects by opening and closing a grabber and r...
20 CitationsSource
Aug 1, 2016 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Clayton A. Baker (GMU: George Mason University)H-Index: 2
#2Nima Akhlaghi (GMU: George Mason University)H-Index: 4
Last. Siddhartha Sikdar (GMU: George Mason University)H-Index: 17
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Advancements in multiarticulate upper-limb prosthetics have outpaced the development of intuitive, non-invasive control mechanisms for implementing them. Surface electromyography is currently the most popular non-invasive control method, but presents a number of drawbacks including poor deep-muscle specificity. Previous research established the viability of ultrasound imaging as an alternative means of decoding movement intent, and demonstrated the ability to distinguish between complex grasps i...
6 CitationsSource
#1Nima Akhlaghi (GMU: George Mason University)H-Index: 4
#2Clayton A. Baker (GMU: George Mason University)H-Index: 2
Last. Siddhartha Sikdar (GMU: George Mason University)H-Index: 17
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Surface electromyography (sEMG) has been the predominant method for sensing electrical activity for a number of applications involving muscle–computer interfaces, including myoelectric control of prostheses and rehabilitation robots. Ultrasound imaging for sensing mechanical deformation of functional muscle compartments can overcome several limitations of sEMG, including the inability to differentiate between deep contiguous muscle compartments, low signal-to-noise ratio, and lack of a robust gr...
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#1Sebastian Amsuess (GAU: University of Göttingen)H-Index: 7
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Pattern recognition and regression methods applied to the surface EMG have been used for estimating the user intended motor tasks across multiple degrees of freedom (DOF), for prosthetic control. While these methods are effective in several conditions, they are still characterized by some shortcomings. In this study we propose a methodology that combines these two approaches for mutually alleviating their limitations. This resulted in a control method capable of context-dependent movement estima...
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The Department of Defense, Department of Veterans Affairs and National Institutes of Health have invested significantly in advancing prosthetic technologies over the past 25 years, with the overall intent to improve the function, participation and quality of life of Service Members, Veterans, and all United States Citizens living with limb loss. These investments have contributed to substantial advancements in the control and sensory perception of prosthetic devices over the past decade. While c...
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#1Shriniwas Patwardhan (GMU: George Mason University)H-Index: 1
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Prosthetics need to incorporate the users sense of proprioception into the control paradigm to provide intuitive control, and reduce training times and prosthetic rejection rates. In the absence of functional tasks with a prosthetic, virtual cursor control tasks have been used to train users to control multiple degrees of freedom. In this study, A proportional position signal was derived from the cross-sectional ultrasound images of the users forearm. We designed a virtual cursor control task wi...
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