Featured Articles

Functionally adaptive myosite selection using high-density sEMG for upper limb myoelectric prostheses

Functionally adaptive myosite selection using high-density sEMG for upper limb myoelectric prostheses

Functionally adaptive myosite selection using high-density sEMG for upper limb myoelectric prostheses 341 192 IEEE Transactions on Biomedical Engineering (TBME)
This study defines a novel electrode placement method that is adaptable towards individual patient anatomy and desired functional outcomes, as a tool for rapid and effective prosthesis fitting. read more
Real-Time Passive Acoustic Mapping With Enhanced Spatial Resolution in Neuronavigation-Guided Focused Ultrasound for Blood–Brain Barrier Opening

Real-Time Passive Acoustic Mapping With Enhanced Spatial Resolution in Neuronavigation-Guided Focused Ultrasound for Blood–Brain Barrier Opening

Real-Time Passive Acoustic Mapping With Enhanced Spatial Resolution in Neuronavigation-Guided Focused Ultrasound for Blood–Brain Barrier Opening 631 355 IEEE Transactions on Biomedical Engineering (TBME)
This study presents the real-time parallel processing of cavitation mapping with enhanced resolution and its performance and in vivo feasibility test results for blood-brain barrier opening using neuronavigation-guided focused ultrasound read more
Waveform similarity analysis using graph mining for the optimization of sensor positioning in wearable seismocardiography

Waveform similarity analysis using graph mining for the optimization of sensor positioning in wearable seismocardiography

Waveform similarity analysis using graph mining for the optimization of sensor positioning in wearable seismocardiography 789 301 IEEE Transactions on Biomedical Engineering (TBME)
This study addresses the challenge of sensor placement variability in seismocardiography, proposing a graph-based methodology to optimize positioning based on waveform similarity. The aim is the enhancement of recording protocols. read more
Identifiability Analysis and Noninvasive Online Estimation of the First-Order Neural Activation Dynamics in the Brain with Closed-Loop Transcranial Magnetic Stimulation

Identifiability Analysis and Noninvasive Online Estimation of the First-Order Neural Activation Dynamics in the Brain with Closed-Loop Transcranial Magnetic Stimulation

Identifiability Analysis and Noninvasive Online Estimation of the First-Order Neural Activation Dynamics in the Brain with Closed-Loop Transcranial Magnetic Stimulation 789 444 IEEE Transactions on Biomedical Engineering (TBME)
Sequential parameter estimation of neural membrane time constant, coupling gain, and input-output curves with closed-loop controllable transcranial magnetic stimulation based on Fisher information optimization read more
Miniaturized Endoscopic 2D US Transducer for Volumetric Ultrasound Imaging of the Auditory System

Miniaturized Endoscopic 2D US Transducer for Volumetric Ultrasound Imaging of the Auditory System

Miniaturized Endoscopic 2D US Transducer for Volumetric Ultrasound Imaging of the Auditory System 710 400 IEEE Transactions on Biomedical Engineering (TBME)
We report, for the first time, volumetric ultrasound imaging of the human auditory system without prior deterioration of the external auditory canal using a miniaturized endoscopic 2D transducer. read more

Validating Adhesive-Free Bioimpedance of the Leg in Mid-Activity and Uncontrolled Settings

Validating Adhesive-Free Bioimpedance of the Leg in Mid-Activity and Uncontrolled Settings 552 311 IEEE Transactions on Biomedical Engineering (TBME)
This study designed a fully wearable, adhesive-free electrical bioimpedance system using textile electrodes which then demonstrated comparable performance during mid-activity and extended daily living use to traditional gel electrodes. read more
Diagnosis of Coexisting Valvular Heart Diseases Using Image-to-Sequence Translation of Contact Microphone Recordings

Diagnosis of Coexisting Valvular Heart Diseases Using Image-to-Sequence Translation of Contact Microphone Recordings

Diagnosis of Coexisting Valvular Heart Diseases Using Image-to-Sequence Translation of Contact Microphone Recordings 631 355 IEEE Transactions on Biomedical Engineering (TBME)
This study establishes a connection between abnormal heart sounds and the presence of coexisting valvular heart diseases, laying the foundation for wearable, rapid decision-making on heart valve health status. read more
Effective Brain Connectivity Extraction by Frequency-Domain Convergent Cross-Mapping (FDCCM) and its Application in Parkinson’s Disease Classification

Effective Brain Connectivity Extraction by Frequency-Domain Convergent Cross-Mapping (FDCCM) and its Application in Parkinson’s Disease Classification

Effective Brain Connectivity Extraction by Frequency-Domain Convergent Cross-Mapping (FDCCM) and its Application in Parkinson’s Disease Classification 650 366 IEEE Transactions on Biomedical Engineering (TBME)
This paper presents a novel and efficacious approach for inferring causal connectivity by exploiting frequency-domain dynamics in complex systems, with a particular focus on its application in Parkinson’s Disease classification. read more
Improving Fast Ripples Recording with Model-Guided Design of Microelectrodes

Improving Fast Ripples Recording with Model-Guided Design of Microelectrodes

Improving Fast Ripples Recording with Model-Guided Design of Microelectrodes 780 435 IEEE Transactions on Biomedical Engineering (TBME)
This model-based approach can be highly valuable in the design of Hybrid micro-macro depth electrodes used in the presurgical evaluation of epileptic patients with drug-resistant epilepsy. read more
Accurate Real-Time Joint Torque Estimation for Dynamic Prediction of Human Locomotion

Accurate Real-Time Joint Torque Estimation for Dynamic Prediction of Human Locomotion

Accurate Real-Time Joint Torque Estimation for Dynamic Prediction of Human Locomotion 789 444 IEEE Transactions on Biomedical Engineering (TBME)
A real-time human torque estimator is proposed and evaluated across various walking conditions. This estimator consists of a neural network and a dynamical model and only requires kinematic measurements. read more