by Edward Clancy, Michael Delph II*, Gregory Fischer, Sarah Fischer*, Phillip Gauthier*, and Carlos Martinez Luna*
This project developed a working prototype of the rehabilitative robotic glove which actuates the fingers over a full range of motion across one degree-of-freedom, and is capable of generating a maximum 15N grip force.
by Sinan Assad*, Ki Chon, Edward Clancy, Fangjie Ding*, Ningxin Fu*, Xinming Huang, Susan Jarvis, Quanquan Ma*, and 5 more
In this paper, a low power wireless PPG sensor has been designed. N-back M-pitch, a working memory cognitive test has been used to correlate HRV, extracted from the new sensor, with mental fatigue, indicated by lower accuracy in the test.
by J. D. Albrecht, Sathwik Bharadwaj, M. Hodek, Siddhant Pandey*, L. R. Ram-Mohan, and M. Santia
Our approach of calculating fields using the Hermite finite element method yields better accuracy by several orders of magnitude than comparable applications of the edge-based vector finite element method.
by J. D. Albrecht, C. R. Boucher*, Zehao Li*, and L. R. Ram-Mohan
Developing compact algorithms for accurate electrodynamic calculations with minimal computational cost is an active area of research given the increasing complexity in the design of electromagnetic composite structures.
by Moinuddin Bhuiyan, Edward A. Clancy, Chenyun Dai, Xinming Huang, Kiriaki J. Rajotte*, Haopeng Wan, He Wang, and Ziling Zhu
Typical electromyogram (EMG) processors estimate EMG signal standard deviation (EMG σ ) via moving average root mean square (RMS) or mean absolute value (MAV) filters, whose outputs are used in force estimation, prosthesis/orthosis control, etc.
by Edward A. Clancy, Lukai Liu, Pu Liu, and Daniel V. Zandt Moyer*
The surface electromyogram (EMG) from biceps and triceps muscles of 33 subjects was related to elbow torque, contrasting EMG amplitude (EMGσ) estimation processors, linear/nonlinear model structures, and system identification techniques.