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A Glucose-Insulin Mixture Model and Application to Short-Term Hypoglycemia Prediction in the Night Time.

Weijie Wang, Shaoping Wang, Xingjian Wang, Di Liu, Yixuan Geng, Teresa Wu,

OBJECTIVE:Insulin-induced hypoglycemia is recognized as a critical problem for diabetic patients, especially at night. To give glucose predictions and advance warnings of hypoglycemia of at least 30 minutes, various glucose-insulin models have been proposed. Recognizing the complementary nature of the models, this research proposes a Glucose-Insulin Mixture (GIM) model to ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
[2020, PP:]

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A Wireless Implantable Passive Intra-Abdominal Pressure Sensing Scheme via Ultrasonic Imaging of a Microfluidic Device.

Hongjie Jiang, Ian B Woodhouse, Vidhya Selvamani, Jessica L Ma, Renxiang Tang, Goergen Craig, Tahereh Soleimani, Rahim Rahimi,

In this paper, we demonstrate a wireless and passive physiological pressure sensing scheme that utilizes ultrasound imaging of an implantable microfluidic based pressure sensitive transducer. The transducer consists of a sub-mm scale pressure sensitive membrane that covers a reservoir filled with water and is connected to a hydrophobic micro-channel. Applied ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Evaluation of Non-invasive Neuromuscular Measurements and Ankle Joint Effort Prediction Methods for Use in Neurorehabilitation.

Qiang Zhang, Ashwin Iyer, Kang Kim, Nitin Sharma,

OBJECTIVE:Reliable measurement of voluntary human effort is essential for effective and safe interaction between the wearer and an assistive robot. Existing voluntary effort prediction methods that use surface electromyography (sEMG) are susceptible to prediction inaccuracies due to non-selectivity in measuring muscle responses. This technical challenge motivates an investigation into alternative ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Functional brain imaging reliably predicts bimanual motor skill performance in a standardized surgical task.

Yuanyuan Gao, Pingkun Yan, Uwe Kruger, Lora Cavuoto, Steven Schwaitzberg, Suvranu De, Xavier Intes,

Currently, there is a dearth of objective metrics for assessing bi-manual motor skills, which are critical for high- stakes professions such as surgery. Recently, functional near- infrared spectroscopy (fNIRS) has been shown to be effective at classifying motor task types, which can be potentially used for assessing motor performance level. ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Enhancement of Penetration of Millimeter Waves by Field Focusing Applied to Breast Cancer Detection.

Ioannis Iliopoulos, Simona Di Meo, Marco Pasian, Maxim Zhadobov, Philippe Pouliguen, Patrick Potier, Luca Perregrini, Ronan Sauleau, Mauro Ettorre,

OBJECTIVE:The potentialities of improving the penetration of millimeter waves for breast cancer imaging are here explored. METHODS:A field focusing technique based on a convex optimization method is proposed, capable of increasing the field level inside a breast-emulating stratification. RESULTS:The theoretical results are numerically validated via the design and simulation of ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Harnessing the Manifold Structure of Cardiomechanical Signals for Physiological Monitoring during Hemorrhage.

Jonathan Sargon Zia, Jacob Kimball, Christopher J Rozell, Omer Inan,

OBJECTIVE:Local oscillation of the chest wall in response to events during the cardiac cycle may be captured using a sensing modality called seismocardiography (SCG), which is commonly used to infer cardiac time intervals (CTIs) such as the pre-ejection period (PEP). An important factor impeding the ubiquitous application of SCG for ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Algorithmically Controlled Electroporation: A Technique for Closed Loop Temperature Regulated Pulsed Electric Field Cancer Ablation.

Ross Aaron Petrella, Christopher C Fesmire, Jacob D Kaufman, Nomi Topasna, Michael B Sano,

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 ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
[2020, 67(8):2176-2186]

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Principal component analysis in projection and image domains Another form of spectral imaging in photon-counting CT.

Huiqiao Xie, Yan Ren, Wenting Long, Xiaofeng Yang, Xiangyang Tang,

OBJECTIVE:Explore the feasibility of principal component analysis (PCA) as a form of spectral imaging in photon-counting CT. METHODS:Using the data acquired by a prototype system and simulated by computer, we investigate the feasibility of spectral imaging in photon-counting CT via PCA for feature extraction and study the impacts made by ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Nonlinear Modeling of Cortical Responses to Mechanical Wrist Perturbations using the NARMAX Method.

Yuanlin Gu, Yuan Yang, Julius Dewald, Frans C T Van der Helm, Alfred C Schouten, Hua-Liang Wei,

OBJECTIVE:Nonlinear modeling of cortical responses (EEG) to wrist perturbations allows for the quantification of cortical sensorimotor function in healthy and neurologically impaired individuals. A common model structure reflecting key characteristics shared across healthy individuals may provide a reference for future clinical studies investigating abnormal cortical responses associated with sensorimotor impairments. ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Multi-tissue Analysis on the Impact of Electroporation on Electrical and Thermal Properties.

Natalie Beitel-White, Melvin F Lorenzo, Yajun Zhao, Rebecca Brock, Sheryl Coutermarsh-Ott, Irving C Allen, Navid Manuchehrabadi, Rafael V Davalos,

OBJECTIVE:Tissue electroporation is achieved by applying a series of electric pulses to destabilize cell membranes within the target tissue. The treatment volume is dictated by the electric field distribution, which depends on the pulse parameters and tissue type and can be readily predicted using numerical methods. These models require the ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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An integrated detection method for flow viscosity measurements in microdevices.

Angeles Ivon Rodriguez-Villarreal, Laura Ortega-Tana, Joan Cid, Aurora Hernandez-Machado, Tomas Alarcon-Cor, Pere Miribel-Catala, Jordi Colomer-Farrarons,

Point-of-care devices can analyze or characterize a sample in a short period of time. New technologies in medical science seek integrations of different measurement techniques for a complete analysis. This study describes the fabrication method, tests, and results of microtechnology as an approach for an integrated rheometer. The portable device ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Hydraulically Steerable Micro Guidewire Capable of Distal Sharp Steering.

Seunggyu Kang, Doo Yong Lee,

Current steerable catheters or guidewires often cannot advance into small diameter vessels due to their large diameters or lack of sharp steering capacity. This paper proposes a hydraulically steerable guidewire with 400 μm diameter, which can access 1 mm diameter vessels whose branching angle is larger than 90 degrees. The ... Read more >>

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Evaluation of Respiratory Muscle Activity by Means of Concentric Ring Electrodes.

Luis Estrada-Petrocelli, Abel Torres, Leonardo Sarlabous, Magda Rafols-de-Urquia, Yiyao Ye-Lin, Gema Prats-Boluda, Raimon Jane, Javier Garcia-Casado,

Surface electromyography (sEMG) can be used for the evaluation of respiratory muscle activity. Recording sEMG involves the use of surface electrodes in a bipolar configuration. However, electrocardiographic (ECG) interference and electrode orientation represent considerable drawbacks to bipolar acquisition. As an alternative, concentric ring electrodes (CREs) can be used for sEMG ... Read more >>

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Dual-Function MR-guided Hyperthermia: An Innovative Integrated Approach and Experimental Demonstration of Proof of Principle.

Kemal Sumser, Gennaro G Bellizzi, Ria Forner, Tomas Drizdal, Juan Antonio Hernandez Tamames, Gerard C Van Rhoon, Margarethus M Paulides,

Temperature monitoring plays a central role in improving clinical effectiveness of adjuvant hyperthermia. The potential of magnetic resonance thermometry for treatment monitoring purposes led to several MR-guided hyperthermia approaches. However, the proposed solutions were sub-optimal due to technological and intrinsic limitations. These hamper achieving target conformal heating possibilities (applicator lim- ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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A long-term cranial window for high-resolution Photoacoustic imaging.

Yongchao Wang, Guangru Liang, Fei Liu, Qian Chen, Lei Xi,

OBJECTIVE:In this study, we introduce the design, fabrication, and assessment of an optically and acoustically transparent, long-term and biocompatible cranial window for high-resolution photoacoustic microscopy of rat cerebral cortex. METHODS:The cranial window is fabricated with a polydimethylsiloxane (PDMS) layer bonded with a glass ring (outer diameter: 8 mm, inner diameter: ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Voluntary Control of an Ankle Joint Exoskeleton by Able-Bodied Individuals and Stroke Survivors using EMG-Based Admittance Control Scheme.

Yu Zhuang, Yan Leng, Jie Zhou, Rong Song, Le Li, Steven Su,

Control schemes based on electromyography (EMG) have demonstrated their superiority in human-robot cooperation due to the fact that motion intention can be well estimated by EMG signals. However, there are several limitations due to the noisy nature of EMG signals and the inaccuracy of EMG-force/torque estimation, which might deteriorate the ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Real-Time Forecasting of sEMG Features for Trunk Muscle Fatigue using Machine Learning.

Ahmad Moniri, Dan Terracina, Jesus Rodriguez-Manzano, Paul H Strutton, Pantelis Georgiou,

OBJECTIVE:Several features of the surface electromyography (sEMG) signal are related to muscle activity and fatigue. However, the time-evolution of these features are non- stationary and vary between subjects. The aim of this study is to investigate the use of adaptive algorithms to forecast sMEG feature of the trunk muscles. METHODS:Shallow ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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A Unified Approach to Wearable Ballistocardiogram Gating and Wave Localization.

Sungtae Shin, Peyman Yousefian, Azin Mousavi, Chang-Sei Kim, Ramakrishna Mukkamala, Dae-Geun Jang, Byung Hoon Ko, Jongwook Lee, Ui Kun Kwon, Younho Kim, Jin-Oh Hahn,

OBJECTIVE:Toward the ultimate goal of cuff-less blood pressure (BP) trend tracking via pulse transit time (PTT) using wearable ballistocardiogram (BCG) signals, we present a unified approach to the gating of wearable BCG and the localization of wearable BCG waves. METHODS:We present a unified approach to localize wearable BCG waves suited ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Predicting Biological Gender and Intelligence from fMRI via Dynamic Functional Connectivity.

Bhaskar Sen, Keshab K Parhi,

Recent works have explored the neuronal functional differences in biological gender and intelligence using static functional connectivity. OBJECTIVE:This paper explores the predictive capability of dynamic functional connectivity extracted from functional magnetic resonance imaging (fMRI) of the human brain. METHODS:Several stateof-the-art features extracted from static functional connectivity of the brain are ... Read more >>

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Enhancing the X-ray differential phase contrast image quality with deep learning technique.

Yongshuai Ge, Peizhen Liu, Yifan Ni, Jianwei Chen, Jiecheng Yang, Ting Su, Huitao Zhang, Jinchuan Guo, Hairong Zheng, Zhi-Cheng Li, Dong Liang,

OBJECTIVE:The purpose of this work is to investigate the feasibility of using deep convolutional neural network (CNN) to improve the image quality of a grating-based X-ray differential phase contrast imaging (XPCI) system. METHODS:In this work, a novel deep CNN based phase signal extraction and image noise suppression algorithm (named as ... Read more >>

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Skill-oriented and Performance-driven Adaptive Curricula for Training in Robot-Assisted Surgery using Simulators: a Feasibility Study.

Andrea Mariani, Edoardo Pellegrini, Elena De Momi,

Virtual Reality (VR) simulators represent a remarkable educational opportunity in order to acquire and refine surgical practical skills. Nevertheless, there exists no consensus regarding a standard curriculum of simulation-based training. This study introduces an automatic, adaptive curriculum where the training session is real-time scheduled on the basis of the trainee's ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Dimensionality transcending: a method for merging BCI datasets with different dimensionalities.

Pedro Rodrigues, Marco Congedo, Christian Jutten,

OBJECTIVE:We present a transfer learning method for datasets with different dimensionalities, coming from different experimental setups but representing the same physical phenomena. We focus on the case where the data points are symmetric positive definite (SPD) matrices describing the statistical behavior of EEG-based brain computer interfaces (BCI). METHOD:Our proposal uses ... Read more >>

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Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions.

Zifan Jiang, Sahar Harati, Andrea Crowell, Helen Mayberg, Shamim Nemati, Gari Clifford,

OBJECTIVE:Major depressive disorder (MDD) is a common psychiatric disorder that leads to persistent changes in mood and interest among other signs and symptoms. We hypothesized that convolutional neural network (CNN) based automated facial expression recognition, pre-trained on an enormous auxiliary public dataset, could provide improve generalizable approach to MDD automatic ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Temporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration.

Xingyao Wang, Chengyu Liu, Yuwen Li, Xianghong Cheng, Jianqing Li, Gari D Clifford,

OBJECTIVE:This paper presents a novel heart sound segmentation algorithm based on Temporal-Framing Adaptive Network (TFAN), including state transition loss and dynamic inference. METHODS:In contrast to previous state-of-the-art approaches, TFAN does not require any prior knowledge of the state duration of heart sounds and is therefore likely to generalize to non ... Read more >>

IEEE Trans Biomed Eng (IEEE transactions on bio-medical engineering)
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Sleep-Dependent Directional Interactions of the Central Nervous System-Cardiorespiratory Network.

Juan Yang, Yu Pan, Tingting Wang, Xiangmin Zhang, Jinfeng Wen, Yuxi Luo,

OBJECTIVE:We investigated the nature of interactions between the central nervous system (CNS) and the cardiorespiratory system during sleep. METHODS:Overnight polysomnography recordings were obtained from 33 healthy individuals. The relative spectral powers of five frequency bands, three ECG morphological features and respiratory rate were obtained from six EEG channels, ECG, and ... Read more >>

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