@conference {527,
	title = {Impact of Gravity Compensation on Upper Extremity Movements in Harmony Exoskeleton},
	booktitle = {2022 International Conference on Rehabilitation Robotics (ICORR)},
	year = {2022},
	month = {July},
	abstract = {<p>Robots have been used to offset the limb weight through gravity compensation in upper body rehabilitation to delineate the effects of loss of strength and loss of dexterity, which are two common forms of post-stroke impairments. In this paper, we explored the impact of this anti-gravity support on the quality of movement during reaching and coordinated arm movements in a pilot study with two participants with chronic stroke. The subjects donned the Harmony exoskeleton which supported proper shoulder coordination in addition to providing gravity compensation. Participants had previously taken part in seven one-hour sessions with the Harmony exoskeleton, performing six sets of passive-stretching and active exercises. Pre- and post-training sessions included assessments of two separate tasks, planar reaching and a set of six coordinated arm movements, in two conditions, outside of and supported by the exoskeleton. The movements were recorded using an optical motion capture system and analyzed using spectral arc length (SPARC) and straight line deviation to quantify movement smoothness and quality. We observed that gravity compensation resulted in an increased smoothness for the subject with high level of impairment whereas compensation resulted in a reduction in smoothness for the subject with low level of impairment in the reaching task. Both participants demonstrated better coordination of the shoulder-arm joint with gravity compensation. This result motivates further studies into the role of gravity compensation during coordinated movement training and rehabilitation interventions.</p>
},
	keywords = {Exoskeletons, Neural pathways, Optical feedback, Optical recording, Robot kinematics, Shoulder, Training},
	doi = {10.1109/ICORR55369.2022.9896415},
	author = {Hailey, Rhet O. and De Oliveira, Ana C. and Ghonasgi, Keya and Whitford, Bob and Lee, Robert K. and Rose, Chad G. and Deshpande, Ashish D.}
}
@conference {496,
	title = {Impact of Gravity Compensation on Upper Extremity Movements in Harmony Exoskeleton},
	booktitle = {International Conference on Rehabilitation Robotics (ICORR)},
	year = {2022},
	author = {Rhet O. Hailey and Ana C. de Oliveira and Keya Ghonasgi and R. Whitford and R. Lee and Chad G. Rose and Ashish D. Deshpande}
}
@article {448,
	title = {Improvement of Hand Functions of SCI Patients with EMG-driven Hand Exoskeleton: a Feasibility Study},
	journal = {Wearable Technologies},
	year = {2021},
	abstract = {<p>We have developed a one-of-a-kind hand exoskeleton, called Maestro, which can power finger movements of those surviving severe disabilities to complete daily tasks using compliant joints. In this paper, we present results from a practical EMG control strategy conducted with spinal cord injury (SCI) patients (C5, C6 and C7) in which the subjects completed daily tasks controlling Maestro with electromyography (EMG) signals from their forearm muscles. With its compliant actuation and its degrees of freedom (DOF) that match the natural finger movements, Maestro is capable of helping the subjects grasp and manipulate a variety of daily objects (more than 15 from a standardized set). To generate control commands for Maestro, an artificial neural network algorithm was implemented along with a probabilistic control approach to classify and deliver four hand poses robustly with three EMG signals measured from the forearm and palm. Increase in the scores of a standardized test, called the Sollerman hand function test (SHFT), and enhancement in different aspects of grasping such as strength shows feasibility that Maestro can be capable of improving the hand function of SCI subjects.</p>
},
	author = {Youngmok Yun and Youngjin Na and Paria Esmatloo and Sarah Dancausse and Alfredo Serrato and Curtis A. Merring and Priyanshu Agarwal and Ashish D. Deshpande}
}
@conference {350,
	title = {The Influence of Robotic Assistance on Reducing Neuromuscular Effort and Fatigue during Extravehicular Activity Glove Use},
	booktitle = {International Conference on Environmental Systems (ICES)},
	year = {2017},
	month = {07/2017},
	author = {Madden, Kaci E. and Deshpande, Ashish D. and Peters, Benjamin J. and Rogers, Jonathan M. and Laske, Evan A. and McBryan, Emily R.}
}
@conference {agarwal2015impedance,
	title = {Impedance and Force-Field Control of the Index Finger Module of a Hand Exoskeleton for Rehabilitation},
	booktitle = {Rehabilitation Robotics (ICORR)},
	year = {2015},
	pages = {85{\textendash}90},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Agarwal, Priyanshu and Deshpande, A.D.}
}
@article {285,
	title = {An Index Finger Exoskeleton with Series Elastic Actuation for Rehabilitation: Design, Control and Performance Characterization},
	journal = {International Journal of Robotics Research (IJRR)},
	volume = {34},
	year = {2015},
	chapter = {1747},
	author = {Agarwal, P. and Fox, Jonas and Yun, Y. and O{\textquoteright}Malley, M.K. and Deshpande, A.D.}
}
@article {madden2015integration,
	title = {On Integration of Additive Manufacturing During the Design and Development of a Rehabilitation Robot: A Case Study},
	journal = {Journal of Mechanical Design},
	year = {2015},
	author = {Madden, Kaci E. and Deshpande, A.D.}
}
@conference {Kim:DSCC:2014,
	title = {Impedance Control Based on a Position Sensor in a Rehabilitation Robot},
	booktitle = {ASME Dynamic Systems and Control Conference (DSCC)},
	year = {2014},
	author = {Kim, Bongsu and Rodot, Aurelien and Deshpande, A.D.}
}
@conference {Agarwal:ASB:2013,
	title = {Integration of Musculoskeletal Analysis with Engineering Design for Virtual Prototyping of Exoskeletons},
	booktitle = {American Society of Biomechanics},
	year = {2013},
	author = {Agarwal, Priyanshu and Kuo, Pei-Hsin and Neptune, Richard and Deshpande, Ashish D.}
}
@article {Deshpande:AIEDAM:2006,
	title = {Intelligent Strategies for the Application of the Constraint Dominance Methods: Demonstration with Linear Motor Design Problem},
	journal = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM), Special Issue on Constraints and Design},
	volume = {20},
	year = {2006},
	pages = {383{\textendash}397},
	author = {Deshpande, Ashish D. and Rinderle, James R.}
}
