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.

Spatiotemporal Compliance Control for a Wearable Lower Limb Rehabilitation Robot
In this study, we designed a spatiotemporal compliance control strategy for a new self-designed wearable lower limb rehabilitation robot (WLLRR), allowing the users to regulate the spatiotemporal characteristics of their motion. The high-level trajectory planner consists of a trajectory generator, an interaction torque estimator, and a gait speed adaptive regulator, which can provide spatial and temporal compliance for the WLLRR. A radial basis function neural network adaptive controller is adopted as the low-level position controller. Over-ground walking experiments with passive control, spatial compliance control, and sp...
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

Minimally Invasive Live Tissue High-Fidelity Thermophysical Modeling Using Real-Time Thermography
We present a novel thermodynamic parameter estimation framework for energy-based surgery on live tissue, with direct applications to tissue characterization during electrosurgery. This framework addresses the problem of estimating tissue-specific thermodynamics in real-time, which would enable accurate prediction of thermal damage impact to the tissue and damage-conscious planning of electrosurgical procedures. Our approach provides basic thermodynamic information such as thermal diffusivity, and also allows for obtaining the thermal relaxation time and a model of the heat source, yielding in real-time a controlled hyperbo...
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

A Wearable Fiber-Free Optical Sensor for Continuous Monitoring of Cerebral Blood Flow in Freely Behaving Mice
Conclusions: Significant correlations were found between measurements with the new DSCF design and an optical standard. The system successfully detected rCBF responses to CO2-induced hypercapnia in both anesthetized and freely behaving mice. Significance: Collecting rCBF and activity information together during natural behaviors provides realistic physiological results and opens the path to exploring their correlations with pathophysiological conditions. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

A Multiscale Computational Model of Skeletal Muscle Electroporation Validated Using In Situ Porcine Experiments
Conclusion: Muscle anisotropy is of significant importance when considering electric field distribution in electroporation applications. Significance: The paper presents an important advancement in building up from the current understanding of single cell electroporation to an in silico multiscale model of bulk muscle tissue. The model accounts for anisotropic electrical conductivity and has been validated through experiments in vivo. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

Design and Testing of a Dynamic Orthosis to Reduce Glenohumeral Subluxation With Omnidirectional Shoulder Motion
Conclusion: The proposed orthosis provided sufficient gravity compensation without resisting arm movement. Significance: The propose- orthosis can improve the shoulder's stability during shoulder movement, potentially improving the rehabilitation effect of patients with shoulder subluxation. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

Convex Combination of Images From Dual-Layer Detectors for High Detective Quantum Efficiencies
Conclusion: ADD can be used for increasing DQE as well as conventional spectral detector applications. Significance: CCI acquired from ADD can have significantly higher DQE values compared to the single-layer cases. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

Voluntary Assist-as-Needed Controller for an Ankle Power-Assist Rehabilitation Robot
Conclusion: The proposed VAAN controller can adapt the working mode to the movement performance and promote the subjects to participate actively. Significance: Based on its performance, the proposed VAAN controller has potential for use in robot-assisted rehabilitation. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

In-Vivo Validation of a Novel Robotic Platform for Endovascular Intervention
Conclusion: In-vivo experiments demonstrated that the applicability of our robotic system within the context of this study was well tolerated, with good feasibility, and low risk profile. Comparable results were observed with robotics and manual cannulation, with clinical outcome potentially in favor of robotics. Significance: This study showed that the proposed robotic platform can potentially improve the execution of endovascular procedures, paving the way for clinical translation. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

Data Augmentation of SSVEPs Using Source Aliasing Matrix Estimation for Brain–Computer Interfaces
Conclusion: SAME is an effective method for SSVEP-BCIs to augment the calibration data, thereby significantly enhancing the performance of eTRCA and TDCA. Significance: We propose a new data-augmentation method that is compatible with the state-of-the-art algorithms of SSVEP-based BCIs. It can significantly reduce the efforts required to calibrate SSVEP-BCIs, which is promising for the development of practical BCIs. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

A Novel Dual-Element Catheter for Improving Non-Uniform Rotational Distortion in Intravascular Ultrasound
In this study, a dual-element imaging catheter is proposed, in which two elements with the same frequency and similar performance are assembled in a back-to-back arrangement. When the catheter encounters a NURD due to acute bending, the abnormal image of one element can be replaced by the normal image of the opposite element, thus eliminating the NURD in the reconstructed image. Moreover, two images can be obtained in one rotation and the imaging frame rate is doubled in the absence of NURD. The performance of the two elements was quantitatively assessed by a wire phantom. And the complementary imaging protocols were evalu...
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

Magnetomotive Ultrasound Shear Wave Elastography (MMUS-SWE): A Validation Study From Simulations to Experiments
In this study, the theoretical feasibility was verified by the finite element simulation model. Then, an experimental system was built, and the experimental feasibility of the method was demonstrated through phantom experiments, in vitro tissue experiments, and in vivo experiments. The results show that the distribution of the MNPs and the elastic information of tissues surrounding the MNPs can be detected simultaneously. This technology is expected to realize targeted elasticity measurement based on the MNPs and has potential applications for disease diagnosis. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

Approach to Quantify Eye Movements to Augment Stroke Diagnosis With a Non-Calibrated Eye-Tracker
This study suggests that automated eye tracking can be deployed without calibration to measure eye movement symmetry. It may be a good discriminator between normal and abnormal eye movement symmetry. Validation of these findings in larger populations is required. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

System Matrix Reconstruction Algorithm for Thermoacoustic Imaging With Magnetic Nanoparticles Based on Acoustic Reciprocity Theorem
Conclusion: The TSVD method based on the ART takes into account energy attenuation and inhomogeneous acoustic velocity, and use a non-focused broadband ultrasonic transducer as the receiver to obtain a larger imaging field-of-view (FOV). By comparing the image metrics, we prove that the algorithm is superior to the traditional time reversal method. Significance: The TSVD method based on the ART can better suppress noise, which is expected to reduce the cost by reducing the number of detectors. It is of great significance for future clinical applications. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

Output Power Computation and Adaptation Strategy of an Electrosurgery Inverter for Reduced Collateral Tissue Damage
Conclusion: Both power-computation approaches break sampling speed limitations and calculate output power with small errors. However, with arcing nonlinearity presence, the multi-sampling-based method yields better accuracy. The impedance-based power adaptation reduces thermal spreads and diminishes sensor count and cost. Significance: This paper exemplifies two novel power-computation ways using low-end industrial-scale processors for biomedical research involving high-frequency and nonlinearly distorted outputs. Additionally, this work is the first to present the original impedance-based power adaptation strategy for red...
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research

Performance of a Convolutional Neural Network Derived From PPG Signal in Classifying Sleep Stages
In this study, we propose an automatic technique for multi-stage sleep classification using photoplethysmographic (PPG) signal. We have proposed a convolutional neural network (CNN) that learns directly from the PPG signal and classifies multiple sleep stages. We developed models for two- (Wake-Sleep), three- (Wake-NREM-REM) and four- (Wake-Light sleep-Deep sleep-REM) stages of sleep classification. Our proposed approach shows an average classification accuracy of 94.4%, 94.2%, and 92.9% for two, three, and four stages, respectively. Experimental results show that the proposed CNN model outperforms exi...
Source: IEEE Transactions on Biomedical Engineering - May 23, 2023 Category: Biomedical Engineering Source Type: research