This study's objective is to understand distally-referred surface electrical nerve stimulation (DR-SENS) and evaluates the effects of electrode placement, polarity, and stimulation intensity on the location of elicited sensations in non-disabled individuals.A two-phased human experiment was used to characterize DR-SENS. In Experiment One, we explored 182 electrode combinations to identify a subset of electrode position combinations that would be most likely to elicit distally-referred sensations isolated to the index finger without discomfort. In Experiment Two, we further examined this subset of electrode combinations to determine the effect of stimulation intensity and electrode position on perceived sensation location. Stimulation thresholds were evaluated using parameter estimation by sequential testing and sensation locations were characterized using psychometric intensity tests.We found that electrode positions distal to the wrist can consistently evoke distally referred sensations with no significant polarity dependency. The finger-palm combination had the most occurrences of distal sensations, and the different variations of this combination did not have a significant effect on sensation location. Increasing stimulation intensity significantly expanded the area of the sensation, moved the most distal sensation distally, and moved the vertical centroid proximally. Also, a large anodic-leading electrode at the elbow mitigated all sensation at the anodic-leading electrode site while using symmetric stimulation waveforms. Furthermore, this study showed that the most intense sensation for a given percept can be distally referred. Lastly, for each participant, at least one of the finger-palm combinations evaluated in this study worked at both perception threshold and maximum comfortable stimulation intensities.These findings show that a non-invasive surface electrical stimulation charge modulated haptic interface can be used to elicit distally-referred sensations on non-disabled users. Furthermore, these results inform the design of novel haptic interfaces and other applications of surface electrical stimulation based haptic feedback on electrodes positioned distally from the wrist.
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http://dx.doi.org/10.1088/1741-2552/ad0563 | DOI Listing |
Sci Rep
January 2025
Shanghai Frontiers Science Research Center of Advanced Textiles, College of Textiles, Donghua University, Shanghai, 201620, China.
With the rapid development of industrialization and urbanization, the impact of noise on people's health has become an increasingly serious issue, but it is still a challenge for the reducing the noise due to its complex property. Textiles with many loose porous structures have gained much significant attentions, thus chenille yarns with plush fibers on the surface, and polyester monofilament were chosen to fabricate the integrated knitting yarns, and their fundamental and mechanical properties were fully evaluated. The results showed that the diameter and braiding angle of the blended yarns decreased with the increase of pitch, resulting in a linear correlation of R > 0.
View Article and Find Full Text PDFBMJ Support Palliat Care
January 2025
First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, Tianjin, China
Importance: Limb spasticity is a common issue among stroke patients. Transcutaneous electrical acupoint stimulation (TEAS) is recommended as an alternative therapy for managing upper limb spasticity after stroke; however, its potential effects and feasibility remain uncertain.
Objective: To investigate the potential effects and feasibility of TEAS on motor function in patients with upper limb spasticity after stroke.
Int J Biol Macromol
January 2025
Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing 210037, China; International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing 210037, China. Electronic address:
Harnessing ionic gradients to generate electricity has inspired the development of nanofluidic membranes with charged nanochannels for osmotic energy conversion. However, achieving high-performance osmotic energy output remains elusive due to the trade-off between ion selectivity and nanochannel membrane permeability. In this study, we report a homogeneous nanofluidic membrane, composed of sulfonated nanoporous carbon (SPC) and TEMPO-oxidized cellulose nanofibers (T-CNF), engineered to overcome these limitations.
View Article and Find Full Text PDFRadiother Oncol
January 2025
Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology Atlanta, GA 30308, USA. Electronic address:
Purpose: This study aims to develop a robust, large-scale deep learning model for medical image segmentation, leveraging self-supervised learning to overcome the limitations of supervised learning and data variability in clinical settings.
Methods And Materials: We curated a substantial multi-center CT dataset for self-supervised pre-training using masked image modeling with sparse submanifold convolution. We designed a series of Sparse Submanifold U-Nets (SS-UNets) of varying sizes and performed self-supervised pre-training.
J Colloid Interface Sci
January 2025
School of Materials Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China. Electronic address:
Defect engineering is considered one of the most powerful strategies for regulating the catalytic activity of electrocatalysts. A deep understanding of the defect-involved mechanism in electrocatalytic process is of great importance but remains a challenging task. In this study, an anionic Se-vacancy (V) was introduced into iron diselenide (FeSe) nanoarrays, enabling the catalyst to exhibit improved electrocatalytic performance for sulfion oxidation reaction (SOR).
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