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Ananya S. Dhawan
George Mason University
7Publications
Publications 7
Newest
Published on Dec 1, 2019in Scientific Reports4.01
Ananya S. Dhawan (GMU: George Mason University), Biswarup Mukherjee3
Estimated H-index: 3
(GMU: George Mason University)
+ 7 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
Technological advances in multi-articulated prosthetic hands have outpaced the development of methods to intuitively control these devices. In fact, prosthetic users often cite "difficulty of use" as a key contributing factor for abandoning their prostheses. To overcome the limitations of the currently pervasive myoelectric control strategies, namely unintuitive proportional control of multiple degrees-of-freedom, we propose a novel approach: proprioceptive sonomyographic control. Unlike myoelec...
Shriniwas Patwardhan (UCSB: University of California, Santa Barbara), Ananya S. Dhawan (GMU: George Mason University)+ -3 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
Published on Jan 1, 2018in IEEE Transactions on Biomedical Engineering4.49
Nima Akhlaghi3
Estimated H-index: 3
,
Ananya S. Dhawan + 3 AuthorsCecile Truong
Objective: The objectives of this paper are to determine the optimal location for ultrasound transducer placement on the anterior forearm for imaging maximum muscle deformations during different hand motions and to investigate the effect of using a sparse set of ultrasound scanlines for motion classification for ultrasound-based muscle computer interfaces (MCIs). Methods: The optimal placement of the ultrasound transducer along the forearm is identified using freehand 3D reconstructions of the m...
Published in bioRxiv
Ananya S. Dhawan (GMU: George Mason University), Biswarup Mukherjee3
Estimated H-index: 3
(GMU: George Mason University)
+ -3 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
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 multipl...
Ananya S. Dhawan (GMU: George Mason University), Biswarup Mukherjee (GMU: George Mason University)+ 5 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
Introduction/Background Recent studies have shown that unintuitive control is a key factor leading to upper-extremity, myoelectric prostheses abandonment. We have developed a non-invasive modality to extract proportional control signals in the residuum using ultrasound imaging. In this study, we investigate the performance of this technology in upper-extremity amputees. Material and method We recruited 4 amputee subjects ( Table 1 ) who currently use myoelectric prostheses. Subjects were instrum...
Published on Apr 1, 2018
Ananya S. Dhawan (GMU: George Mason University), Jana Kosecka34
Estimated H-index: 34
(GMU: George Mason University)
+ 1 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
In recent work regarding gesture recognition and muscle computer interfaces, ultrasound-based sensing strategies have been demonstrated as a viable alternative to the pervasive surface electromyography (sEMG) modality. However, in order to facilitate switching between available gestures, both sEMG and ultrasound-based strategies have traditionally relied on unintuitive control mechanisms. The most common among these are: requiring the users to return to rest as an intermediary state between moti...
Published on Sep 1, 2017
Amir Khan7
Estimated H-index: 7
(GMU: George Mason University),
Ananya S. Dhawan (GMU: George Mason University)+ 2 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
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...
Published on Sep 1, 2017
Elizabeth Tarbox1
Estimated H-index: 1
(GMU: George Mason University),
Nima Akhlaghi3
Estimated H-index: 3
(GMU: George Mason University)
+ 4 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
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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