Works (5)

Updated: July 5th, 2023 15:34

2021 journal article

A robust model-based neural-machine interface across different loading weights applied at distal forearm

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 67.

By: L. Pan* & H. Huang n

Contributors: L. Pan* & H. Huang n

author keywords: Electromyography (EMG); Neural-machine interface; Musculoskeletal model; Loading weights; Robust
TL;DR: The robustness of a generic MM-based NMI across different loading conditions is demonstrated and the outcomes indicate the potential of the multi-user NMI toward practical applications. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: May 24, 2021

2020 journal article

OPTIMAL EMG PLACEMENT FOR A ROBOTIC PROSTHESIS CONTROLLER WITH SEQUENTIAL, ADAPTIVE FUNCTIONAL ESTIMATION (SAFE)

ANNALS OF APPLIED STATISTICS, 14(3), 1164–1181.

By: J. Stallrich n, M. Islam, A. Staicu n, D. Crouch n, L. Pan* & H. Huang n

Contributors: J. Stallrich n, N. Islam, A. Staicu n, D. Crouch n, L. Pan* & H. Huang n

author keywords: Electromyography signal; varying functional regression; functional variable selection; adaptive group LASSO; correlated functional predictors; sequential adaptive functional estimation
TL;DR: A novel decoder based on a dynamic, functional linear model with velocity or acceleration as its response and the recent past EMG signals as functional covariates is proposed, increasing the predictive capability of a single EMG signal compared to existing decoders. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 19, 2020

2019 journal article

Comparing EMG-Based Human-Machine Interfaces for Estimating Continuous, Coordinated Movements

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 27(10), 2145–2154.

By: L. Pan n, D. Crouch n & H. Huang n

Contributors: L. Pan n, D. Crouch n & H. Huang n

author keywords: Electromyography (EMG); musculoskeletal model; linear regression; artificial neural network; comparison
MeSH headings : Adult; Algorithms; Amputees; Biomechanical Phenomena; Electromyography / methods; Healthy Volunteers; Humans; Male; Models, Theoretical; Movement / physiology; Musculoskeletal Physiological Phenomena; Nerve Net; Psychomotor Performance; Radius; User-Computer Interface; Wrist / anatomy & histology; Wrist / physiology; Wrist Joint / anatomy & histology; Wrist Joint / physiology; Young Adult
TL;DR: Comparing a musculoskeletal model (MM) with two data-driven approaches, linear regression (LR) and artificial neural network (ANN), for predicting continuous wrist and hand motions for EMG-based interfaces suggests that incorporating musculOSkeletal knowledge into EMg-based human-machine interfaces could improve the estimation of continuous, coordinated motion. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: December 9, 2019

2018 journal article

Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 26(9), 1735–1744.

By: D. Crouch*, L. Pan n, W. Filer*, J. Stallings & H. Huang n

Contributors: D. Crouch*, L. Pan n, W. Filer*, J. Stallings & H. Huang n

author keywords: Musculoskeletal; model; prosthesis; control; virtual reality; electrodes
MeSH headings : Adult; Amputees; Artificial Limbs; Brain-Computer Interfaces; Computer Systems; Electrodes; Electrodes, Implanted; Electromyography / instrumentation; Electromyography / methods; Female; Hand / physiology; Healthy Volunteers; Humans; Male; Models, Biological; Muscle, Skeletal; Musculoskeletal Physiological Phenomena; Pilot Projects; Psychomotor Performance / physiology; Young Adult
TL;DR: While iEMG may permit targeted recording of EMG, its signal characteristics may not be as ideal for SPC as those of sEMG, and the tradeoff between recording specificity and signal characteristics is an important consideration for development and clinical implementation of SPC for neural-machine interfaces. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 16, 2018

2018 journal article

Myoelectric Control Based on a Generic Musculoskeletal Model: Toward a Multi-User Neural-Machine Interface

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 26(7), 1435–1442.

By: L. Pan n, D. Crouch n & H. Huang n

Contributors: L. Pan n, D. Crouch n & H. Huang n

author keywords: Electromyography (EMG); multi-user; neural-machine interface; musculoskeletal model; transradial amputee
TL;DR: The results suggested that it is possible to design an EMG-driven NMI based on a musculoskeletal model that could fit multiple users, including upper limb amputees, for predicting coordinated MCP and wrist motion. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.