Literature DB >> 33019099

Sonomyography Combined with Vibrotactile Feedback Enables Precise Target Acquisition Without Visual Feedback.

Shriniwas Patwardhan, Biswarup Mukherjee, Ananya Dhawan, Meena Alzamani, Abdul Noor, Susannah Engdahl, Wilsaan M Joiner, Siddhartha Sikdar.   

Abstract

Upper limb prosthesis users currently lack haptic feedback from their terminal devices, which significantly limits their ability to meaningfully interact with their environment. Users therefore rely heavily on visual feedback when using terminal devices. Previously, it has been shown that force-related feedback from an end-effector or virtual environment can help the user minimize errors and improve performance. Currently, myoelectric control systems enable the user to control the velocity of terminal devices. We have developed a novel control method using ultrasound sensing, called sonomyography, that enables position control based on mechanical deformation of muscles. In this paper, we investigated whether the proprioceptive feedback from muscle deformation combined with vibrotactile haptic feedback can minimize the need for visual feedback. Able bodied subjects used sonomyography to control a virtual cursor, and performed a target acquisition task. The effect of visual and haptic feedback on performance of a target acquisition task was systematically tested. We found that subjects made large errors when they tried to reacquire a target without visual feedback, but in the presence of real-time haptic feedback, the precision of the target position improved, and were similar to when visual feedback was used for target acquisition. This result has implications for improving the performance of prosthetic control systems.

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Mesh:

Year:  2020        PMID: 33019099      PMCID: PMC7733223          DOI: 10.1109/EMBC44109.2020.9176524

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  12 in total

1.  Crosstalk effect on surface electromyogram of the forearm flexors during a static grip task.

Authors:  Yong-Ku Kong; M Susan Hallbeck; Myung-Chul Jung
Journal:  J Electromyogr Kinesiol       Date:  2010-12       Impact factor: 2.368

Review 2.  Upper limb prosthesis use and abandonment: a survey of the last 25 years.

Authors:  Elaine A Biddiss; Tom T Chau
Journal:  Prosthet Orthot Int       Date:  2007-09       Impact factor: 1.895

Review 3.  Myoelectric forearm prostheses: state of the art from a user-centered perspective.

Authors:  Bart Peerdeman; Daphne Boere; Heidi Witteveen; Rianne Huis in 't Veld; Hermie Hermens; Stefano Stramigioli; Hans Rietman; Peter Veltink; Sarthak Misra
Journal:  J Rehabil Res Dev       Date:  2011

4.  Evaluation of the Role of Proprioception During Proportional Position Control Using Sonomyography: Applications in Prosthetic Control.

Authors:  Shriniwas Patwardhan; Ananya S Dhawan; Biswarup Mukherjee; Meena Alzamani; Wilsaan M Joiner; Siddhartha Sikdar
Journal:  IEEE Int Conf Rehabil Robot       Date:  2019-06

5.  Vibrotactile sensory substitution for electromyographic control of object manipulation.

Authors:  Eric Rombokas; Cara E Stepp; Chelsey Chang; Mark Malhotra; Yoky Matsuoka
Journal:  IEEE Trans Biomed Eng       Date:  2013-03-11       Impact factor: 4.538

6.  Determining skill level in myoelectric prosthesis use with multiple outcome measures.

Authors:  Hanneke Bouwsema; Peter J Kyberd; Wendy Hill; Corry K van der Sluis; Raoul M Bongers
Journal:  J Rehabil Res Dev       Date:  2012

7.  Maximum likelihood estimation: the best PEST.

Authors:  A Pentland
Journal:  Percept Psychophys       Date:  1980-10

8.  Neuromimetic Event-Based Detection for Closed-Loop Tactile Feedback Control of Upper Limb Prostheses.

Authors:  Luke Osborn; Rahul Kaliki; Alcimar Soares; Nitish Thakor
Journal:  IEEE Trans Haptics       Date:  2016-05-09       Impact factor: 2.487

9.  Estimating the prevalence of limb loss in the United States: 2005 to 2050.

Authors:  Kathryn Ziegler-Graham; Ellen J MacKenzie; Patti L Ephraim; Thomas G Travison; Ron Brookmeyer
Journal:  Arch Phys Med Rehabil       Date:  2008-03       Impact factor: 3.966

10.  Psycho-physiological assessment of a prosthetic hand sensory feedback system based on an auditory display: a preliminary study.

Authors:  Jose Gonzalez; Hirokazu Soma; Masashi Sekine; Wenwei Yu
Journal:  J Neuroeng Rehabil       Date:  2012-06-09       Impact factor: 4.262

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