IEEE Transactions on Biomedical Engineering This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

A Deep Denoising Sound Coding Strategy for Cochlear Implants
Cochlear implants (CIs) have proven to be successful at restoring the sensation of hearing in people who suffer from profound sensorineural hearing loss. CI users generally achieve good speech understanding in quiet acoustic conditions. However, their ability to understand speech degrades drastically when background interfering noise is present. To address this problem, current CI systems are delivered with front-end speech enhancement modules that can aid the listener in noisy environments. However, these only perform well under certain noisy conditions, leaving quite some room for improvement in more challenging circumst...
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Real-Time Motion Analysis With 4D Deep Learning for Ultrasound-Guided Radiotherapy
We present a 4D deep learning approach for real-time motion estimation and forecasting using long-term 4D ultrasound data. Using motion traces acquired during radiation therapy combined with various tissue types, our results demonstrate that long-term motion estimation can be performed markerless with a tracking error of $0.35pm 0.2$ mm and with an inference time of less than 5 ms. Also, we demonstrate forecasting directly from the image data up to 900 ms into the future. Overall, our findings highlight that 4D deep learning is a promising approach for motion analysis during radiotherapy. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Validating Adhesive-Free Bioimpedance of the Leg in Mid-Activity and Uncontrolled Settings
Conclusion: This work demonstrates wearable textile electrodes can b- a viable substitute for gel electrodes when monitoring leg MFBIA in dynamic, uncontrolled settings. Significance: Adhesive-free MFBIA can improve healthcare by enabling robust wearable musculoskeletal health monitoring in at-home and everyday settings. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin
Conclusion: The a-MPC algorithm improve warfarin therapy compared to the benchmark therapies. Significance: This in-silico v- lidation proves effectiveness of the a-MPC algorithm for anticoagulant administration, paving the way for clinical testing. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

sEMG-Based Gesture Recognition Using Temporal History
Surface electromyography (sEMG) patterns have been decoded using learning-based methods that determine complicated nonlinear decision boundaries. However, overlapping classes in sEMG pattern recognition still degrade the classification accuracy because they cannot be separated by the decision boundaries. We hypothesized that certain overlapping classes can be separated while tracing the temporal history of sEMG patterns. Therefore, a novel post-processing method is proposed to adjust classification errors using the separated patterns from the temporal history of overlapping classes. The proposed method confirms the confide...
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Needle Aligned Ultrasound Image-Guided Access Through Dual-Segment Array
Ultrasound (US) guided access for percutaneous nephrolithotomy (PCNL) is gaining popularity in the urology community as it reduces radiation risk. The most popular technique involves manual image-needle alignment. A misaligned needle however needs to be retracted and reinserted, resulting in a lengthened operation time and complications such as bleeding. These limitations can be mitigated through the co-registration between the US array and needle. The through-hole array concept provides the primary solution, including a hole at the center of the array. Because of the central opening, the image-needle alignment is achieved...
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation
Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogeneous scales of the objects. For example, on a whole slide image (WSI), the cross-sectional areas of glomeruli can be 64 times larger than that of the peritubular capillaries, making it impractical to segment both objects on the same patch, at the same scale. To handle this scaling issue, prior studies have typically trained multiple segmentation networks in order to match the optimal pixel resolution of heterogeneous tissue types. This multi-network solution is resource-intensive and fails to model the spatial relationship b...
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Miniaturized Endoscopic 2D US Transducer for Volumetric Ultrasound Imaging of the Auditory System
Conclusion: These results confirm that our technique enables the accurate imaging of the middle and inner ears without having to deteriorate the surrounding bone. Significance: Since US is a real-time, wide available and non-ionizing imaging modality, our acquisition setup could facilitate the minimally invasive diagnosis and surgical navigation for otology in a fast, cost-effective and safe way. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Simulation and Performance Evaluation of a Bio-Inspired Nanogenerator for Medical Applications
Providing sufficient energy for autonomous systems at the nanoscale is one of the major challenges of the Internet of Nano Things (IoNT). Existing battery technologies and conventional integrated circuits cannot be used in such small dimensions. Even if they are small enough to be used at the nano level, they still cannot be used in medical applications due to biocompatibility issues. M13 is a very promising virus with piezoelectric properties, which has attracted much interest in the scientific community as a bioenergy harvester. However, M13 studies presented so far in the literature are designed only for macroscale syst...
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

A Novel Event-Driven Spiking Convolutional Neural Network for Electromyography Pattern Recognition
Electromyography (EMG) pattern recognition is an important technology for prosthesis control and human-computer interaction etc. However, the practical application of EMG pattern recognition is hampered by poor accuracy and robustness due to electrode shift caused by repeated wearing of the signal acquisition device. Moreover, the user's acceptability is low due to the heavy training burden, which is caused by the need for a large amount of training data by traditional methods. In order to explore the advantage of spiking neural network (SNN) in solving the poor robustness and heavy training burden problems in EMG p...
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Fine-Grained and Multiple Classification for Alzheimer's Disease With Wavelet Convolution Unit Network
In this article, we propose a novel wavelet convolution unit for the image-oriented neural network to integrate wavelet analysis with a vanilla convolution operator to extract deep abstract features more efficiently. On one hand, in order to acquire non-local receptive fields and avoid information loss, we define a new convolution operation by composing a traditional convolution function and approximate and detailed representations after single-scale wavelet decomposition of source images. On the other hand, multi-scale wavelet decomposition is introduced to obtain more comprehensive multi-scale feature information. Then, ...
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Dosimetry Sensitivity in a Lower Dimensional Model of Patient-Specific Asthma Subjects
Conclusion: This study highlights - hat in silico model predictions are robust in the presence of experimental uncertainty and that it continues to be necessary to perform subject-specific simulations, especially within the presence of heterogeneous airway disease. Significance: Sensitivity analysis provides confidence in calculating deposition in the airways of asthmatic subjects within the presence of experimental uncertainty. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

A Needle-Free Transdermal Patch for Sampling Interstitial Fluid
Conclusion: Relying only on simple, commercially scalable fabrication methods, this patch outperforms the collection rate of various microneedle-based patches, painlessly sampling a human bodily fluid without entering the body. Significance: The technology holds potential as a clinical device for an array of biomedical applications, especially with the integration of on-patch testing. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Identifiability Analysis and Noninvasive Online Estimation of the First-Order Neural Activation Dynamics in the Brain With Closed-Loop Transcranial Magnetic Stimulation
Conclusions: SPE of the activation dynamics requires acquiring at least two IO curves with different pulse widths, which needs a controllable TMS (cTMS) device with adjustable pulse duration. Significance: The proposed SPE method enhances the cTMS functionality, which can contribute novel insights in research and clinical studies. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research

Segmentation of Arm Ultrasound Images in Breast Cancer-Related Lymphedema: A Database and Deep Learning Algorithm
Conclusion: Automatic segmentation can pave the way for convenient and accessible staging of BCRL, and our dataset can facilitate development and validation of those methods. Significance: Timely diagnosis and treatment of BCRL have crucial importance in preventing- irreversible damage. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - August 30, 2023 Category: Biomedical Engineering Source Type: research