Developing RPC-Net: Leveraging High-Density Electromyography and Machine Learning for Improved Hand Position Estimation
Conclusion: The results demonstrate that RPC-Net is capable of accurately translating forearm electromyographic activity into hand position, offering a practical and adaptable tool that may be accessible in clinical settings. Significance: The development of RPC-Net represents a significant advancement. In clinical settings, its application could enable prosthetic devices to be controlled in a way that feels more natural, improving the quality of life for individuals with limb loss. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 22, 2023 Category: Biomedical Engineering Source Type: research

Physics-Informed Transfer Learning to Enhance Sleep Staging
Conclusion: Machine learning performance can be improved using data synthesized using physical models. Significance: Our approach represents a new form of transfer learning and demonstrates that incorporating domain knowledge of electrophysiological modeling can improve machine learning results for sleep staging tasks. We expect this approach to be particularly useful for EEG data which is hard to collect, or which is obtained using unusual electrode configurations. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 22, 2023 Category: Biomedical Engineering Source Type: research

Selective Acoustic Trapping, Translating, Rotating, and Orienting of Organism From Heterogeneous Mixture
In this study, we present an acoustic manipulation system capable of selectively trapping, translating, rotating, and orienting individual organisms from in-Petri dish organism mixture using a phased transducer array and microscope, by dynamically steering the acoustic field. Specifically, using brine shrimp and zebrafish populations as example, the to-be-manipulated organisms with different sizes or morphologies can be manually designated by the user in microscopic image and interactively localized. Thereafter, the selected organisms can be automatically trapped from the heterogeneous mixture using a multiple focal point-...
Source: IEEE Transactions on Biomedical Engineering - December 20, 2023 Category: Biomedical Engineering Source Type: research

Study on the Role of Physical Fields in TMAS to Modulate Synaptic Plasticity in Mice
Conclusion: This paper argues that electric fields should be the main reason for the difference in modulation between TMAS and TUS and that changing the amplitude of the electric field affected the modulation of TMAS more than changing the acoustic pressure. Significance: This study elucidates the roles of the physical fields in TMAS and provides a parameterisation way to guide TMAS applications based on the dominant roles of the physical fields. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 20, 2023 Category: Biomedical Engineering Source Type: research

Frequency Domain Channel-Wise Attack to CNN Classifiers in Motor Imagery Brain-Computer Interfaces
Conclusion: Perturbations generated in the frequency domain yield highly competitive results in attacking MIBCI deployed by CNN models even in a black-box setting, where the model information is well-protected. Significance: To our best knowledge, existing MIBCI attack approaches are all gradient-based methods and require details about the victim model, e.g., the parameters and objective function. We provide a more flexible strategy that does not require model details but still produces an effective attack outcome. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 19, 2023 Category: Biomedical Engineering Source Type: research

The Enhancement of Tumor Ablation Effect by the Combination of High-Frequency and Low-Voltage Bipolar Electroporation Pulses
Conclusion: Results indicate that the CBPs protocol can enhance the ablation effect of HFBPs protocol. Significance: This proposed generator that uses the CBPs principle may be a useful tool for tumor ablation. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 19, 2023 Category: Biomedical Engineering Source Type: research

Smart Capsule for Targeted Detection of Inflammation Levels Inside the GI Tract
This study heralds a significant step towards minimally invasive, in situ GI inflammation monitoring, potentially revolutionizing personalized IBD management and patient-specific therapeutic strategies. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 14, 2023 Category: Biomedical Engineering Source Type: research

Prosthetic Limb Attachment via Electromagnetic Attraction Through a Closed Skin Envelope
Conclusion: Our design framework produced an implant and electromagnet that could feasibly suspend a knee-ankle-foot prosthesis during short walking bouts. Future work will focus on optimization of this system to reduce heating during longer bouts. Significance: This work demonstrates the initial feasibility of an electromagnetic prosthetic attachment paradigm that has the potential to increase comfort and improve residual limb health for persons with amputation. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 13, 2023 Category: Biomedical Engineering Source Type: research

Dual-Tuned Coaxial-Transmission-Line RF Coils for Hyperpolarized 13C and Deuterium 2H Metabolic MRS Imaging at Ultrahigh Fields
Conclusion: The proposed dual-tuned RF coils reveal highly effective magnetic field obtained from both proton and heteronuclear signal which is crucial for accurate and detailed imaging. Significance: The successful development of this new dual-tuned RF coil technique would provide a tangible and efficient tool for ultrahigh field metabolic MR imaging. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 12, 2023 Category: Biomedical Engineering Source Type: research

Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks
Objective: Multi-site collaboration is essential for overcoming small-sample problems when exploring reproducible biomarkers in MRI studies. However, various scanner-specific factors dramatically reduce the cross-scanner replicability. Moreover, existing harmony methods mostly could not guarantee the improved performance of downstream tasks. Methods: we proposed a new multi-scanner harmony framework, called ‘maximum classifier discrepancy generative adversarial network’, or MCD-GAN, for removing scanner effects in the original feature space while preserving substantial biological information for downstream tasks. Speci...
Source: IEEE Transactions on Biomedical Engineering - December 7, 2023 Category: Biomedical Engineering Source Type: research

Automatic Stub Avoidance for a Powered Prosthetic Leg Over Stairs and Obstacles
This article presents a novel stub avoidance controller that automatically adjusts prosthetic knee/ankle kinematics based on suprasensory measurements of environmental distance from a small, lightweight, low-power, low-cost ultrasonic sensor mounted above the prosthetic ankle. In a case study with two transfemoral amputee participants, this control method reduced the stub rate during stair ascent by 89.95% and demonstrated an 87.50% avoidance rate for crossing different obstacles on level ground. No thigh kinematic compensation was required to achieve these results. These findings demonstrate a practical perception solutio...
Source: IEEE Transactions on Biomedical Engineering - December 7, 2023 Category: Biomedical Engineering Source Type: research

Impact of Injection-Based Delivery Parameters on Local Distribution Volume of Ethyl-Cellulose Ethanol Gel in Tissue and Tissue Mimicking Phantoms
Conclusion: Needle depth, gauge, and polymer concentration are critical to consider when delivering injectable gels. Significance: This study addressed key questions related to the impact of injection-based parameters on gel distribution at a scale relevant to human applications including: 1) how best to deliver EC-ethanol into the cervix and 2) general insights about injection protocols relevant to the delivery of injectable gels in tissue. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 7, 2023 Category: Biomedical Engineering Source Type: research

Sequential Intracardiac Activation Time Mapping of Arrhythmias Without Fiducial Time References
Conclusion: We developed a novel method to create an LAT map of sequential recordings without using any TAR and showed that it can create accurate maps even during the collision of multiple wavefronts. Significance: TARLess mapping does not require a reference catheter which could lead to reduction in ablation procedure duration, cost, and potential complications. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 7, 2023 Category: Biomedical Engineering Source Type: research

Accurate Identification of Motoneuron Discharges From Ultrasound Images Across the Full Muscle Cross-Section
Conclusion: The proposed method can identify discharges of MNs innervating muscle fibers in a large range of depths within the muscle from US images. Significance: The proposed methodology can non-invasively interface with the outer layers of the central nervous system innervating muscles across the full cross-section. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 6, 2023 Category: Biomedical Engineering Source Type: research

A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability
Conclusion and Significance: The new spectral measures of GI and GA are useful complements to GC for the analysis of interacting oscillatory processes, and detect pathophysiological responses to postural stress which cannot be traced in the time domain. The thorough assessment of causality, isolation and autonomy opens new perspectives for the analysis of coupled processes in both physiological and clinical investigations. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 6, 2023 Category: Biomedical Engineering Source Type: research