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Task-space Synergies for Reaching using Upper-limb Prostheses 672 207 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Task-space Synergies for Reaching using Upper-limb Prostheses
Author(s): Ricardo Garcia-Rosas, Denny Oetomo, Chris Manzie, Ying Tan, Peter Choong

Synergistic prostheses enable the coordinated movement of the human-prosthetic arm, as required by activities of daily living. This is achieved by coupling the motion of the prosthesis to the human command, such as the residual limb movement in motion-based interfaces.

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Speed adaptable prosthetic foot; concept description, prototyping and initial user testing 604 277 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Speed adaptable prosthetic foot; concept description, prototyping and initial user testing
Author(s): Heimir Tryggvason, Felix Starker, Anna L. Armannsdottir, Christophe Lecomte, Fjola Jonsdottir

This paper presents a novel design of a prosthetic foot that features adaptable stiffness that changes according to the speed of ankle motion. The motivation is the natural graduation in stiffness of a biological ankle over a range of ambulation tasks.

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Deep Learning Architecture to Assist with Steering a Powered Wheelchair 582 322 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Deep Learning Architecture to Assist with Steering a Powered Wheelchair
Author(s): Malik J. Haddad, David A. Sanders

This paper describes a novel Deep Learning architecture to assist with steering a powered wheelchair. A rule-based approach is utilized to train and test a Long Short Term Memory (LSTM) Neural Network. It is the first time a LSTM has been used for steering a powered wheelchair.

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Promoting Functional and Independent Sitting in Children with Cerebral Palsy Using the Robotic Trunk Support Trainer 515 334 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Promoting Functional and Independent Sitting in Children with Cerebral Palsy Using the Robotic Trunk Support Trainer
Author(s): Victor Santamaria, Moiz Khan, Tatiana Luna, Jiyeon Kang, Joseph Dutkowsky, Andrew Gordon, Sunil Agrawal

Seated postural abilities are critical to functional independence and participation in children with cerebral palsy, Gross Motor Functional Classification System (GMFCS) levels III-IV. In this proof-of-concept study, we investigated the feasibility of a motor learning–based seated postural training with a robotic Trunk-Support-Trainer (TruST) in a longitudinal single-subject-design (13y, GMFCS IV), and its potential effectiveness in a group of 3 children (6-14y, GMFCS III-IV).

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Two-Dimensional Stockwell Transform and Deep Convolutional Neural Network for Multi-Class Diagnosis of Pathological Brain 983 415 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Two-Dimensional Stockwell Transform and Deep Convolutional Neural Network for Multi-Class Diagnosis of Pathological Brain
Author(s): Mohsen Soleimani, Aram Vahidi, Behrouz Vaseghi

Since brain lesion detection and classification is a vital diagnosis task, in this paper, the problem of brain magnetic resonance imaging (MRI) classification is investigated.

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12 Degrees of Freedom Muscle Force Driven Fibril-Reinforced Poroviscoelastic Finite Element Model of the Knee Joint 495 630 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

12 Degrees of Freedom Muscle Force Driven Fibril-Reinforced Poroviscoelastic Finite Element Model of the Knee Joint
Author(s): A. Esrafilian, L. Stenroth, M. E. Mononen, P. Tanska, S. V. Rossom, D. G. Lloyd, I. Jonkers, R. K. Korhonen

Accurate knowledge of the joint kinematics, kinetics, and soft tissue mechanical responses is essential in the evaluation of musculoskeletal (MS) disorders.

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Plantar or Palmar Tactile Augmentation Improves Lateral Postural Balance with Significant Influence from Cognitive Load 550 371 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Plantar or Palmar Tactile Augmentation Improves Lateral Postural Balance with Significant Influence from Cognitive Load
Author(s): Jacob Azbell, Jaekwan K. Park, Shuo-Hsiu Chang, Mariklle PKJ Engelen, Hangue Park

Although it seems intuitive to address the issue of reduced plantar cutaneous feedback by augmenting it, many approaches have adopted compensatory sensory cues, such as tactile input from another part of the body, for multiple reasons including easiness and accessibility.

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Adaptive Electrode Calibration Method based on Muscle Core Activation Regions and Its Application in Myoelectric Pattern Recognition 471 356 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Adaptive Electrode Calibration Method based on Muscle Core Activation Regions and Its Application in Myoelectric Pattern Recognition
Author(s): Ruochen Hu, Xiang Chen, Xu Zhang, Xun Chen

To reduce the bad effect of electrode shifts on myoelectric pattern recognition, this paper presents an adaptive electrode calibration method based on core activation regions of muscles.

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Improving the Intelligibility of Speech for Simulated Electric and Acoustic Stimulation Using Fully Convolutional Neural Networks 1019 367 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Improving the Intelligibility of Speech for Simulated Electric and Acoustic Stimulation Using Fully Convolutional Neural Networks
Author(s): Natalie Yu-Hsien Wang, Hsiao-Lan Sharon Wang, Tao-Wei Wang, Szu-Wei Fu, Xugan Lu, Hsin-Min Wang, Yu Tsao

Combined electric and acoustic stimulation (EAS) has demonstrated better speech recognition than conventional cochlear implant (CI) and yielded satisfactory performance under quiet conditions. However, when noise signals are involved, both the electric signal and the acoustic signal may be distorted, thereby resulting in poor recognition performance.

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