Gait Cycle Validation and Segmentation Using Inertial Sensors
In this paper, we develop an algorithm to automatically validate and segment a gait cycle in real time into three gait events, namely midstance, toe-off, and heel-strike, using inertial sensors. We first use the physical models of sensor data obtained from a foot-mounted inertial system to differentiate stationary and moving segments of the sensor data. Next, we develop an optimization routine called sparsity-assisted wavelet denoising (SAWD), which simultaneously combines linear time invariant filters, orthogonal multiresolution representations such as wavelets, and sparsity-based methods, to generate a sparse template of...
Source: IEEE Transactions on Biomedical Engineering - July 24, 2020 Category: Biomedical Engineering Source Type: research

Understanding Factors Governing Distribution Volume of Ethyl Cellulose-Ethanol to Optimize Ablative Therapy in the Liver
Conclusions: Although increasing the infusion rate increases stress on the tissue and the risk of crack formation, injections of 6%EC-ethanol were localized regardless of infusion rate. To further limit leakage, multiple low-volume infusions may be employed. Significance: These results, and the experimental framework developed to obtain them, can inform optimizing EC-ethanol to treat a range of medical conditions. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 21, 2020 Category: Biomedical Engineering Source Type: research

Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network
Early identification of dementia at the stage of mild cognitive impairment (MCI) is crucial for timely diagnosis and intervention of Alzheimer's disease (AD). Although several pioneering studies have been devoted to automated AD diagnosis based on resting-state functional magnetic resonance imaging (rs-fMRI), their performance is somewhat limited due to non-effective mining of spatial-temporal dependency. Besides, few of these existing approaches consider the explicit detection and modeling of discriminative brain regions (i.e., network hubs) that are sensitive to AD progression. In this paper, we propose a unique S...
Source: IEEE Transactions on Biomedical Engineering - July 21, 2020 Category: Biomedical Engineering Source Type: research

Design and Integration of a Parallel, Soft Robotic End-Effector for Extracorporeal Ultrasound
Conclusion: The system is able to withstand loads commonly applied during foetal ultrasound scans and remains controllable with a motion range similar to manual scanning. Significance: The proposed soft robot presents a safe, cost-effective solution to offloading sonographers in day-to-day scanning routines. The design and modelling paradigms are greatly generalizable and particularly suitable for designing soft robots for ph- sical interaction tasks. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 21, 2020 Category: Biomedical Engineering Source Type: research

The Spatio-Temporal Equalization for Evoked or Event-Related Potential Detection in Multichannel EEG Data
Conclusion: These attributes allow the STE approach to be extended as a preprocessing method which can be used in combination with existing techniques. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Visual Servoed Robotic Mouse Oocyte Rotation
Conclusion: Our system performs the oocyte rotation by using standard equipment yet significantly improves the efficiency and success rate. Significance: Our methods improve existing techniques and provide a starting point for fast autofocusing and oocyte orientation prior to automatic ICSI or cell biopsy. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Improved Low-Rank Filtering of MR Spectroscopic Imaging Data With Pre-Learnt Subspace and Spatial Constraints
Conclusion: The denoising effectiveness of LORA can be significantly improved by incorporating pre-learnt spectral basis and spatial priors into LORA. Significance: This study provides an effective method for denoising MRSI data along with comprehensive analyses of its performance. The proposed method is expected to be useful for a wide range of studies using MRSI. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Preterm Infants’ Pose Estimation With Spatio-Temporal Features
Conclusion: Results showed that the spatio-temporal features had a significant influence on the pose-estimation performance, especially in challenging cases (e.g., homogeneous image intensity). Significance: This article significantly enhances the state of art in automatic assessment of preterm infants’ health status by introducing the use of spatio-temporal features for limb detection and tracking, and by being the first study to use depth videos acquired in the actual clinical practice for limb-pose estimation. The babyPose dataset has been released as the first annotated dataset for infants’ pose estimation....
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Toward a High-Throughput Wireless Smart Arena for Behavioral Experiments on Small Animals
This work presents a high-throughput and scalable wirelessly-powered smart arena for behavioral experiments made of multiple EnerCage Homecage (HC) systems, operating in parallel in a way that they can fit in standard racks that are commonly used in animal facilities. The proposed system, which is referred to as the multi-EnerCage-HC (mEHC), increases the volume of data that can be collected from more animal subjects, while lowering the cost and duration of experiments as well as stress-induced bias by minimizing the involvement of human operators. Thus improving the quality, reproducibility, and statistical power of exper...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Automated In Vivo Navigation of Magnetic-Driven Microrobots Using OCT Imaging Feedback
Conclusions: Experimental results demonstrate the effectiveness of the proposed approach. The microrobots can be magnetically driven in the in vivo environment using the OCT imaging feedback. Significance: The significance of this study lies in providing a new method of driving microrobots in vivo. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Highly Shielded Gradient Coil Design for a Superconducting Planar MRI System
In a planar, superconducting magnetic resonance imaging (MRI) system, the gradient assembly is placed into the groove of the SC magnet. Conventional gradient coil design method considers the shielding of pole face only, but neglects the surrounding metal structures at the coil side, thus leading to large stray field leakage and resulting in serious eddy current artefact. A novel coil shielding method was proposed in this work by a full consideration of the stray fields on the pole face and also the coil ends. The gradient coil design exemplification of a 0.7T planar superconducting MRI system was presented. In the new desi...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

One-Stop MR Neurovascular Vessel Wall Imaging With a 48-Channel Coil System at 3 T
Conclusion: A 48-channel coil system was developed and demonstrated superior performance for vessel wall imaging at the intracranial and cervical carotid arteries compared with a commercial 36-channel coil. Significance: The 48-channel coil system is potentially useful for clinical diagnostics, especially when attempting to diagnose ischemic stroke. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Computation of Cigarette Smoke Exposure Metrics From Breathing
Traditional metrics of smoke exposure in cigarette smokers are derived either from self-report, biomarkers, or puff topography. Methods involving biomarkers measure concentrations of nicotine, nicotine metabolites, or carbon monoxide. Puff-topography methods employ portable instruments to measure puff count, puff volume, puff duration, and inter-puff interval. In this article, we propose smoke exposure metrics calculated from the breathing signal and describe a novel algorithm for the computation of these metrics. The Personal Automatic Cigarette Tracker v2 (PACT-2) sensors, puff topography devices (CReSS), and video obser...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Evaluation of Secrecy Capacity for Next-Generation Leadless Cardiac Pacemakers
This article will help in design of the communication module of implanted leadless cardiac pacemakers with enhanced security on the physical layer. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Spatio-Temporal Segmentation in 3-D Echocardiographic Sequences Using Fractional Brownian Motion
An important aspect for an improved cardiac functional analysis is the accurate segmentation of the left ventricle (LV). A novel approach for fully-automated segmentation of the LV endocardium and epicardium contours is presented. This is mainly based on the natural physical characteristics of the LV shape structure. Both sides of the LV boundaries exhibit natural elliptical curvatures by having details on various scales, i.e. exhibiting fractal-like characteristics. The fractional Brownian motion (fBm), which is a non-stationary stochastic process, integrates well with the stochastic nature of ultrasound echoes. It has th...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Specific, Non-Invasive, and Magnetically Directed Targeting of Magnetic Erythrocytes in Blood Vessels of Mice
Objective: Targeting in vivo has been a spotlight for precise medicine. Multiple strategies have been proposed for this issue. However, the efficiency of solely biochemical strategies currently remains to be improved. It has been thought that external field-guided targeting will be a beneficial supplement for the passive and the active targeting. Methods: Here, we focused on the magnetic field-guided targeting of magnetized erythrocytes, discovering that a focused magnetic field can direct aggregation of magnetic erythrocytes into a specific region in vivo. Results: The systematic investigation about the aggregates in cere...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Discriminative Canonical Pattern Matching for Single-Trial Classification of ERP Components
This study compared a recently developed algorithm, i.e., discriminative canonical pattern matching (DCPM), with seven ERP-BCI classification methods, i.e., linear discriminant analysis (LDA), stepwise LDA, bayesian LDA, shrinkage LDA, spatial-temporal discriminant analysis (STDA), xDAWN and EEGNet for the single-trial classification of two private EEG datasets and three public EEG datasets with small training sets. The feature ERPs of the five datasets included P300, motion visual evoked potential (mVEP), and miniature asymmetric visual evoked potential (aVEP). Study results showed that the DCPM outperformed other classif...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Extracting Individual Neural Fingerprint Encoded in Functional Connectivity by Silencing Indirect Effects
Conclusion: These results demonstrated that the dFC estimated by the silencing method from FC might constitute an accurate “fingerprint” for subject discriminability. Significance: This study made a step forward to the personalized- neuroscience with fMRI-based brain “fingerprint.” (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Design of Ceramic Packages for Ultrasonically Coupled Implantable Medical Devices
Conclusion: Thin lids enable the use of ultrasonically coupled devices even with package materials of very different acoustic impedance. Significance: This work provides an analysis and method for designing packages that enable ultrasonic coupling with implantable medical devices, which could facilitate clinical translation. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Reducing Acoustic Inhomogeneity Based on Speed of Sound Autofocus in Microwave Induced Thermoacoustic Tomography
Microwave induced thermoacoustic tomography is a newly developing non-invasive and non-ionizing modality. In practical applications, such as breast tumor detection and brain imaging, the acoustic properties in the tissue to be detected are usually unknown and spatially non-uniform, which results in distortion and blurring of the buried targets. In this paper, a reconstruction method based on speed of sound (SoS) autofocus is proposed to reduce the effect of acoustic inhomogeneity in different soft tissues. According to this method, the number of tissue types, which are referred to as clusters in this work, can be automatic...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection
Conclusion: This paper provides a strategy to characterize EEG signals using a NMM-related method and the model parameters optimized by real EEG may then serve as features in their own right for early seizure detection. Significance: An useful attempt to early detect epileptic seizures by combining the neural mass model with data analysis. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Conductive Thread-Based Stretchable and Flexible Radiofrequency Coils for Magnetic Resonance Imaging
Conclusion: Despite the reduction in SNR for this combination of materials, there is a reduced percentage of SNR drop as compared to existing stretch coil designs. These imaging results and calculations support further experimentation into more complex coil geometries. Significance: This coil is uniquely stretchable in all directions, allowing for joint imaging at various degrees of flexion, while offering the closest proximity of placement to the skin. The materials provide a similar level of comfort to athletic wear and could be incorporated into coils for a variety of anatomies. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Algorithmically Controlled Electroporation: A Technique for Closed Loop Temperature Regulated Pulsed Electric Field Cancer Ablation
Objective: To evaluate the effect of a closed-loop temperature based feedback algorithm on ablative outcomes for pulsed electric field treatments. Methods: A 3D tumor model of glioblastoma was used to assess the impact of 2 μs duration bipolar waveforms on viability following exposure to open and closed-loop protocols. Closed-loop treatments evaluated transient temperature increases of 5, 10, 15, or 22 °C above baseline. Results: The temperature controlled ablation diameters were conditionally different than the open-loop treatments and closed-loop treatments generally produced smaller ablations. Closed-lo...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Assay and Isolation of Single Proliferating CD4+ Lymphocytes Using an Automated Microraft Array Platform
Conclusion: The platform is capable of both identification and isolation of proliferative T cells in an automated manner. Significance: This novel technology enables the identification of TCR sequences based on T cell proliferation which is expected to speed the development of future cancer immunotherapies. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Wireless, Skin-Like Membrane Electronics With Multifunctional Ergonomic Sensors for Enhanced Pediatric Care
Continuous cardiac monitoring using electrocardiograms (ECG) provides a range of patient information, essential for making clinical decisions, to healthcare providers. Unfortunately, the clinical standard of ECG recording requires the use of rigid metal electrodes, conductive gels, and wired electronic devices, which often cause skin injuries and health risks for pediatric patients with underdeveloped, fragile skin. Here, we introduce a wireless, soft, comfortable electronic system that obviates the need for skin preparation, electrolyte gels, or aggressive tapes. The low-profile device incorporates a thin-film circuit and...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Deep Learning Neural Encoders for Motor Cortex
Intracortical brain-machine interfaces (BMIs) transform neural activity into control signals to drive a prosthesis or communication device, such as a robotic arm or computer cursor. To be clinically viable, BMI decoders must achieve high accuracy and robustness. Optimizing these decoders is expensive, traditionally requiring animal or human experiments spanning months to years. This is because BMIs are closed-loop systems, where the user updates his or her motor commands in response to an imperfectly decoded output. Decoder optimization using previously collected “offline” data will therefore not capture this c...
Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Table of Contents
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Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Biomedical Engineering Handling Editors
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Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

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Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

IEEE Engineering in Medicine and Biology Society
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Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

Frontcover
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Source: IEEE Transactions on Biomedical Engineering - July 17, 2020 Category: Biomedical Engineering Source Type: research

A Clinical Prototype Transrectal Diffuse Optical Tomography (TRDOT) System for In vivo Monitoring of Photothermal Therapy (PTT) of Focal Prostate Cancer
We describe the rationale, design, fabrication and performance of a clinical transrectal diffuse optical tomography (TRDOT) system for in vivo monitoring of photothermal therapy (PTT) of localized prostate cancer. The system comprises a 32-channel fiberoptic-based, MRI-compatible transrectal probe connected to a computer-controlled instrument that includes laser diode sources, an optical fiber switch and photomultiplier tube detectors. Performance tests were performed in tissue-simulating phantoms and in ex vivo muscle tissue during PTT treatment. The safety and technical feasibility of in vivo transrectal use were tested ...
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Multi-Constrained Joint Non-Negative Matrix Factorization With Application to Imaging Genomic Study of Lung Metastasis in Soft Tissue Sarcomas
Conclusion: This method not only can be applied for the accurate identification of patterns related to pathogenic mechanism of diseases, but also has a significant implication for discovering protein biomarkers. Significance: This method provides avenues for further studies of identifying complex association patterns of diseases according to different types of biological data. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

A Dynamic Model of Brain Hemodynamics in Near-Infrared Spectroscopy
Conclusion: The proposed signal model generates realistic NiRS signals. Significance: The model accepts simple physiological and physical parameters to produce realistic NiRS signals and will accelerate the growth of optical signal processing algorithms. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Signal Modeling and Simulation of Temporal Dispersion and Conduction Block in Motor Nerves
Conclusion: The simulation results closely match those of empirical measurements, indicating that the signal model captures relevant pathological mechanisms. An amplitude reduction of more than 50% in demyelinating conditions is in accordance with routine measurements and shows that temporal dispersion is quite well-modeled compared to previous simulation models. Significance: The simulation outcomes can serve as th- basis for an improved pathophysiological understanding of peripheral nerve disorders and should aid neurophysiologists to refine their diagnostic armamentarium resulting in a more precise differential diagnos...
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Miniaturized Intracavitary Forward-Looking Ultrasound Transducer for Tissue Ablation
Objective: This paper aims to develop a miniaturized forward-looking ultrasound transducer for intracavitary tissue ablation, which can be used through an endoscopic device. The internal ultrasound (US) delivery is capable of directly interacting with the target tumor, resolving adverse issues of currently available US devices, such as unintended tissue damage and insufficient delivery of acoustic power. Methods: To transmit a high acoustic pressure from a small aperture (
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Optical Coherence Tomography Guided Robotic Needle Insertion for Deep Anterior Lamellar Keratoplasty
Conclusion: Volumetric OCT is a key enabler for surgeons, although robotic techniques can reliably replicate their performance. Significance: Robotic needle control and volumetric OCT promise to improve outcomes in DALK. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing
This paper addresses an interesting problem to model common spatial pattern (CSP) using an objective function employed to segregate EEG signals for a given cognitive task into two classes. The novelty of the present research is to include phase information of the EEG signal along with the amplitude for differentiating class boundaries. Two modified CSP algorithms are proposed in this paper. The first one introduces the composite effect of amplitude and phase angle of the EEG signal in CSP formulation and is solved using Lagrange’s multiplier method taking phase information of EEG into account. In the second approach,...
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Apprenticeship Learning for a Predictive State Representation of Anesthesia
Conclusion: These results strongly support the hypothesis that TPSR based models convincingly embed the behavior of anesthesiologists including only four variables that are commonly assessed to predict the DoA. Significance: The proposed novel approach could be of great help for clinicians by improving the fine tuning of the DoA. Furthermore, the possibility to predict the evolutions of the variables would help preventing side effects such as low blood pressure. A tool that could autonomously help the anesthesiologist would thus improve safety-level in the surgical room. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Simplified Non-Thermal Tissue Ablation With a Single Insertion Device Enabled by Bipolar High-Frequency Pulses
Conclusion: A single electrode and grounding pad approach was successfully used to create ablations in hepatic tissue. This technique has the potential to reduce challenges associated with placing multiple electrodes in anatomically challenging environments. Significance: H-FIRE is an in situ tumor ablation approach in which electrodes are placed within or around a targeted region to deliver high voltage electrical pulses. Electric fields generated around the electrodes induce irrecoverable cell membrane damage leading to predictable cell death in the relative absence of thermal damage. The s- aring of architectural integr...
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

In Vivo Photoacoustic Sentinel Lymph Node Imaging Using Clinically-Approved Carbon Nanoparticles
Conclusion: PA imaging technique using clinically-approved CNPs as the contrast agent is capable for noninvasive and nonradioactive SLN identification and high-contrast biopsy guidance, and should be considered as a new tool for assisting SLNB in breast cancer staging. Significance: The proposed CNPs-enhanced PA imaging technique provides a practical way for SLN identification and biopsy guidance for breast cancer patients and paves the way for clinical translation of PA SLN imaging. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography
Conclusion: The proposed method KNN-BSBL incorporated several types of a priori information is an efficient and robust reconstruction method for BLT. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Bidimensional Multiscale Fuzzy Entropy and Its Application to Pseudoxanthoma Elasticum
Conclusion: T- e results for the synthetic data illustrate that $FuzEn_{2D}$ is an image irregularity measure that overcomes $SampEn_{2D}$ in terms of reliability, especially for small-sized images, and stability of results. The results for the PXE dermoscopic images demonstrate the ability of $MSF_{2D}$ to recognize dermoscopic images of normal zones from PXE papules zones with a large effect size. Significance: This work introduces new image irregularity and complexity measures and shows the potential for $ MSF_{2D}$ to serve as a possible tool helping medical doctors in PXE diagnosis. (Source: IEEE Transactions on ...
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Simulation of Motor Unit Action Potential Recordings From Intramuscular Multichannel Scanning Electrodes
Conclusions: altogether, the proposed models provide accurate MUAPs across the entire motor unit territories and for various electrode configurations. Significance: they can be used for the development and evaluation of mathematical methods for multi-channel iEMG processing and analysis. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

A Review of Wearable Sensor Systems to Monitor Plantar Loading in the Assessment of Diabetic Foot Ulcers
Diabetes is highly prevalent throughout the world and imposes a high economic cost on countries at all income levels. Foot ulceration is one devastating consequence of diabetes, which can lead to amputation and mortality. Clinical assessment of diabetic foot ulcer (DFU) is currently subjective and limited, impeding effective diagnosis, treatment and prevention. Studies have shown that pressure and shear stress at the plantar surface of the foot plays an important role in the development of DFUs. Quantification of these could provide an improved means of assessment of the risk of developing DFUs. However, commercially-avail...
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Development of Multi-Layer Lateral-Mode Ultrasound Needle Transducer for Brain Stimulation in Mice
Ultrasound, a non-invasive stimulation method, has proved effective in neurostimulation. Previous studies have demonstrated that low-frequency ultrasound (less than 1 MHz) is preferable owing to better penetrability through tissue and skull. However, the large size of low-frequency transducers, which are used in ultrasound neurostimulation studies, makes it difficult to perform multiple-target neurostimulation, especially in small animals such as mice. In this paper, a proposed low-frequency ultrasound needle transducer based on the multi-layer lateral-mode coupling method with a miniature aperture of 0.6 mm × 0.6 mm...
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Joint, Partially-Joint, and Individual Independent Component Analysis in Multi-Subject fMRI Data
Conclusion: Our results in analyzing the real datasets reveal that both datasets follow the JpJI-MDU source model. This source model improves the accuracy of source extraction methods developed for multi-subject datasets. Significance: The proposed joint blind source separation algorithm is robust and avoids parameters which are difficult to fine-tune. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Establishment and Experiment of Utility Archwire Dynamic Orthodontic Moment Prediction Model
Conclusion: The accuracy of the utility archwire dynamic orthodontic moment prediction model was verified through a comparison of the experimental measurements and theoretical calculations. Significance: The presented model can help make timely adjustments to orthodontic treatment schemes, improve the orthodontic effect, shorten the treatment cycle, and provide reference and guidance that enables orthodontists to carry out orthodontic treatment safely and efficiently. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Adaptive Calibration of Electrode Array Shifts Enables Robust Myoelectric Control
Conclusion: The proposed method is demonstrated to be a promising solution for the automatic and adaptive calibration of electrode array shifts. Significance: This work will enhance the robustness of myoelectric control systems. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research

Segmentation-Based Blood Flow Parameter Refinement in Cerebrovascular Structures Using 4-D Arterial Spin Labeling MRA
Conclusion: The proposed method can provide accurate segmentations and blood flow parameter estimations in the cerebrovascular system using 4D ASL MRA datasets. Significance: The information obtained with the proposed method can help clinicians an- researchers to study the cerebrovascular system non-invasively. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - June 19, 2020 Category: Biomedical Engineering Source Type: research