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Nima Akhlaghi
George Mason University
11Publications
3H-index
24Citations
Publications 11
Newest
Published on Dec 1, 2019in Scientific Reports 4.01
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...
Published on Jan 1, 2019in IEEE Transactions on Biomedical Engineering 4.49
Nima Akhlaghi3
Estimated H-index: 3
,
Ananya S. Dhawan + 4 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
Published on Jan 1, 2018in IEEE Transactions on Biomedical Engineering 4.49
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...
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...
Published on Aug 1, 2016in IEEE Transactions on Biomedical Engineering 4.49
Nima Akhlaghi3
Estimated H-index: 3
(GMU: George Mason University),
Clayton A. Baker2
Estimated H-index: 2
(GMU: George Mason University)
+ 7 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
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...
Published on Aug 1, 2016 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
Clayton A. Baker2
Estimated H-index: 2
(GMU: George Mason University),
Nima Akhlaghi3
Estimated H-index: 3
(GMU: George Mason University)
+ 2 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
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...
Published on Jul 1, 2016 in ISVLSI (IEEE Computer Society Annual Symposium on VLSI)
Maria Malik8
Estimated H-index: 8
(GMU: George Mason University),
Farnoud Farahmand3
Estimated H-index: 3
(GMU: George Mason University)
+ 4 AuthorsHouman Homayoun24
Estimated H-index: 24
(GMU: George Mason University)
OpenCV applications are computationally intensive tasks among computer vision algorithms. The demand for low power yet high performance real-time processing of OpenCV embedded vision applications have led to developing their customized implementations on state-of-the-art embedded processing platforms. Given the industry move to heterogeneous platforms which integrates single core or multicore CPU with on-chip FPGA accelerators and GPU accelerators, the question of what platform and what implemen...
Published on Oct 1, 2015 in ICCD (International Conference on Computer Design)
Paul Otto6
Estimated H-index: 6
(GMU: George Mason University),
Maria Malik8
Estimated H-index: 8
(GMU: George Mason University)
+ 3 AuthorsSiddhartha Sikdar16
Estimated H-index: 16
(GMU: George Mason University)
The de facto standard for embedded platforms with medium to low computing demands are ARM with Thumb ISA and Intel Atom with the X86 ISA with multiple cores. Operating these architectures in the milliwatts range while running realtime computer vision corner detection algorithms is a challenging problem. We present the analysis of power, performance and energy-efficiency measurements of Harris corner detection across a wide range of voltage and frequency settings, multicore/multithreading strateg...
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