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Nima Akhlaghi
George Mason University
13Publications
4H-index
54Citations
Publications 13
Newest
#1Ananya S. Dhawan (GMU: George Mason University)H-Index: 2
#2Biswarup Mukherjee (GMU: George Mason University)H-Index: 3
Last.Siddhartha Sikdar (GMU: George Mason University)H-Index: 17
view all 10 authors...
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...
Source
As photoacoustic imaging (PAI) technology matures, computational modeling will increasingly represent a critical tool for facilitating clinical translation through predictive simulation of real-world performance under a wide range of device and biological conditions. While modeling currently offers a rapid, inexpensive tool for device development and prediction of fundamental image quality metrics (e.g., spatial resolution and contrast ratio), rigorous verification and validation will be require...
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Objective: Sonomyography has been shown to be a promising method for decoding volitional motor intent from analysis of ultrasound images of the forearm musculature. 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...
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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...
#1Ananya S. Dhawan (GMU: George Mason University)H-Index: 2
#2Biswarup Mukherjee (GMU: George Mason University)H-Index: 3
Last.Siddhartha Sikdar (GMU: George Mason University)H-Index: 17
view all 9 authors...
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...
2 CitationsSource
#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
view all 5 authors...
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
view all 7 authors...
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...
4 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
view all 10 authors...
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...
33 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
view all 5 authors...
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
Jul 1, 2016 in ISVLSI (IEEE Computer Society Annual Symposium on VLSI)
#1Maria Malik (GMU: George Mason University)H-Index: 9
#2Farnoud Farahmand (GMU: George Mason University)H-Index: 6
Last.Houman Homayoun (GMU: George Mason University)H-Index: 25
view all 7 authors...
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...
4 CitationsSource
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