Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements
Neuroprosthetics research has entered a stage in which animal models and proof-of-
concept studies are translated into clinical applications, often combining implants with …
concept studies are translated into clinical applications, often combining implants with …
Novel wearable device for mindful sensorimotor training: Integrating motor decoding and somatosensory stimulation for neurorehabilitation
Sensorimotor impairment is a prevalent condition requiring effective rehabilitation strategies.
This study introduces a novel wearable device for Mindful Sensorimotor Training (MiSMT) …
This study introduces a novel wearable device for Mindful Sensorimotor Training (MiSMT) …
Deployment of machine learning algorithms on resource-constrained hardware platforms for prosthetics
Motion intent recognition for controlling prosthetic systems has long relied on machine
learning algorithms. Artificial neural networks have shown great promise for solving such …
learning algorithms. Artificial neural networks have shown great promise for solving such …
Feature weighting concatenated multi-head self-attention for amputee EMG classification
M Bilgin, A Mert - Biomedical Signal Processing and Control, 2025 - Elsevier
ReliefF and neighborhood component analysis (NCA) concatenated multi-head self-
attention (MSA) based multi-channel amputee EMG signals classification model is proposed …
attention (MSA) based multi-channel amputee EMG signals classification model is proposed …
Intuitive control of additional prosthetic joints via electro-neuromuscular constructs improves functional and disability outcomes during home use—a case study
Objective. The advent of surgical reconstruction techniques has enabled the recreation of
myoelectric controls sites that were previously lost due to amputation. This advancement is …
myoelectric controls sites that were previously lost due to amputation. This advancement is …
Fine-tuning Myoelectric Control through Reinforcement Learning in a Game Environment
Objective: Enhancing the reliability of myoelectric controllers that decode motor intent is a
pressing challenge in the field of bionic prosthetics. State-of-the-art research has mostly …
pressing challenge in the field of bionic prosthetics. State-of-the-art research has mostly …
Towards Pose Invariant Bionic Limb Control: A comparative study of two unsupervised domain adaptation methods
Bionic limb control through myoelectric pattern recognition, offering intuitive decoding of
motor intent, can improve the quality of life for individuals with amputations. However, most …
motor intent, can improve the quality of life for individuals with amputations. However, most …
From sequential to simultaneous prosthetic control: Decoding simultaneous finger movements from individual ground truth EMG patterns
J Zbinden, S Edwards - … Conference of the IEEE Engineering in …, 2024 - ieeexplore.ieee.org
Myoelectric bionic limbs hold the promise of restoring functionality and improving life quality
for people with amputation. With recent advances in surgical reconstruction, which created …
for people with amputation. With recent advances in surgical reconstruction, which created …
Capturing Spatial Information for sEMG-Based Gesture Recognition Using Graph Attention Networks
Surface electromyography (sEMG) signals, known for their rich encapsulation of motion
intention, have emerged as a promising avenue for human-computer interaction. Despite the …
intention, have emerged as a promising avenue for human-computer interaction. Despite the …
Advancing Prosthetics with Artificial Intelligence
S Kakarla - research-archive.org
This paper explores the transformative impact of Artificial Intelligence (AI) on the
development of prosthetic devices, focusing on advancements in real-time adaptation …
development of prosthetic devices, focusing on advancements in real-time adaptation …