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IEEE Transactions on Bio-medical Engineering

Abhijit Bhattacharyya, Radu Ranta, Steven Le Cam, Valerie Louis-Dorr, Louise Tyvaert, Sophie Colnat-Coulbois, Louis Maillard, Ram Bilas Pachori
OBJECTIVE: The stereo electroencephalogram (SEEG) recordings are the sate of the art tool used in pre-surgical evaluation of drug-unresponsive epileptic patients. Coupled with SEEG, electrical cortical stimulation (CS) offer a complementary tool to investigate the lesioned/healthy brain regions and to identify the epileptic zones with precision. However, the propagation of this stimulation inside the brain masks the cerebral activity recorded by nearby multi-contact SEEG electrodes. The objective of this paper is to propose a novel filtering approach for suppressing the CS artifact in SEEG signals using time, frequency as well as spatial information...
November 12, 2018: IEEE Transactions on Bio-medical Engineering
Can Li, Sen Yan, Weinan He, Sheng Yang, Jianfei Sun, Ning Gu
Cell inflammation process is reflected through real-time in situ cellular temperature changes. METHODS: A wireless thermometry system for in situ cellular temperature measurements was used in an incubator to detect the HMEC-1 cellular temperature under lipopolysaccharide inflammation production and norepinephrine for inflammation repair. Combining the changes in cell viability, inflammatory factor levels and ATP content caused by different lipopolysaccharide or norepinephrine doses, an obvious inflammatory response and repair effect was obtained...
November 12, 2018: IEEE Transactions on Bio-medical Engineering
Dongxiao Li, Wenxiong Zhong, Kofi M Deh, Thanh Nguyen, Martin R Prince, Yi Wang, Pascal Spincemaille
OBJECTIVE: The sliding motion of the liver during respiration violates the homogeneous motion smoothness assumption in conventional non-rigid image registration and commonly results in compromised registration accuracy. This paper presents a novel approach, registration with 3D active contour motion segmentation (RAMS), to improve registration accuracy with discontinuity-aware motion regularization. METHODS: A Markov random field-based discrete optimization with dense displacement sampling and self-similarity context metric is used for registration, while a graph cuts-based 3D active contour approach is applied to segment the sliding interface...
November 12, 2018: IEEE Transactions on Bio-medical Engineering
Catherine Stamoulis, Jack Connolly, Erika Axeen, Himanshu Kaulas, Jeffrey Bolton, Katherine Dorfman, Jonathan J Halford, Frank Duffy, Ted Treves, Phillip Pearl
OBJECTIVE: More than one third of children with epilepsy have medically intractable seizures. Promising therapies, including targeted neurostimulation and surgery, depend on accurate localization of the epileptogenic zone. Ictal perfusion Single-Photon Emission Computed Tomography (SPECT) can localize the seizure focus noninvasively, with comparable accuracy to that of invasive EEG. However, multiple factors including seizure dynamics may affect its spatial specificity. METHODS: Using subtracted ictal from interictal SPECT and scalp EEG from 118 pediatric epilepsy patients (40 of whom had surgery after the SPECT studies), information theoretic measures of association and advanced statistical models, this study investigated the impact of preictal and ictal brain network dynamics on SPECT focality...
November 9, 2018: IEEE Transactions on Bio-medical Engineering
Biao Cai, Gemeng Zhang, Aiying Zhang, Julia M Stephen, Tony W Wilson, Vince D Calhoun, Yuping Wang
Functional connectivity (FC) within the human brain evaluated through functional magnetic resonance imaging (fMRI) data has attracted increasing attention and has been employed to study the development of the brain or health conditions of the brain. Many different approaches have been proposed to estimate FC from fMRI data, whereas many of them rely on an implicit assumption that functional connectivity should be static throughout the fMRI scan session. Recently, the fMRI community has realized the limitation of assuming static connectivity and dynamic approaches are more prominent in the resting state fMRI (rs-fMRI) analysis...
November 9, 2018: IEEE Transactions on Bio-medical Engineering
Greg Morley, Scott Bernstein, Laura Kuznekoff, Carolina Vasquez, Phil Saul, Dieter Haemmerich
OBJECTIVE: Cardiac catheter cryoablation is a safer alternative to radiofrequency ablation for arrhythmia treatment, but electrophysiological (EP) effects during and after freezing are not adequately characterized. The goal of this study was to determine transient and permanent temperature induced EP effects, during and after localized tissue freezing. METHODS: Conduction in right (RV) and left ventricles (LV) was studied by optical activation mapping during and after cryoablation in paced, isolated Langendorff-perfused porcine hearts...
November 9, 2018: IEEE Transactions on Bio-medical Engineering
Lei Guo, Jin Jin, Mingyan Li, Yaohui Wang, Chun Yi Liu, Feng Liu, Stuart Crozier
Current integral-equation (IE) based MR electrical properties tomography (EPT) methods utilize simulated incident radio-frequency (RF) fields, which are inaccurate and lead to reconstruction errors. To improve the accuracy and practicability of IE-based MR-EPT methods, a new approach is presented that obtains the incident fields using reference subjects and RF field mapping techniques. The Incident field approximation (IFA) is first demonstrated in this paper. This approximation assumes that two imaged subjects with similar coil/subject interactions will have similar incident RF fields, thus one can feed the estimation of the incident fields within the imaged subject into the calculation of those within a homogeneous subject (reference subject)...
November 5, 2018: IEEE Transactions on Bio-medical Engineering
John Prince, Fernando Andreotti, Maarten De Vos
As the collection of mobile health data becomes pervasive, missing data can make large portions of datasets inaccessible for analysis. Missing data has shown particularly problematic for remotely diagnosing and monitoring Parkinson's disease (PD) using smart-phones. This contribution presents multi-source ensemble learning, a methodology which combines dataset deconstruction with ensemble learning and enables participants with incomplete data (i.e. where not all sensor data is available) to be included in the training of machine learning models and achieves a 100% participant retention rate...
November 5, 2018: IEEE Transactions on Bio-medical Engineering
Shovan Maity, Mingxuan He, Mayukh Nath, Debayan Das, Baibhab Chatterjee, Shreyas Sen
Human Body Communication (HBC) has emerged as an alternative to radio wave communication for connecting low power, miniaturized wearable and implantable devices in, on and around the human body. HBC uses the human body as the communication channel between on-body devices. Previous studies characterizing the human body channel has reported widely varying channel response much of which has been attributed to the variation in measurement setup. This calls for the development of a unifying bio-physical model of HBC supported by in-depth analysis and an understanding of the effect of excitation, termination modality on HBC measurements...
November 2, 2018: IEEE Transactions on Bio-medical Engineering
Erlend Hodneland, Eirik Keilegavlen, Erik A Hanson, Erling Andersen, Jan Ankar Monssen, Jarle Tor Rorvik, Sabine Leh, Hans-Peter Marti, Arvid Lundervold, Einar Svarstad, Jan Martin Nordbotten
OBJECTIVE: Chronic kidney disease (CKD) is a serious medical condition characterized by gradual loss of kidney function. Early detection and diagnosis is mandatory for adequate therapy and prognostic improvement. Hence, in the current pilot study we explore the use of image registration methods for detecting renal morphologic changes in patients with CKD. METHODS: Ten healthy volunteers and nine patients with presumed CKD underwent dynamic T1 weighted imaging without contrast agent...
November 2, 2018: IEEE Transactions on Bio-medical Engineering
Koichi Fujiwara, Erika Abe, Keisuke Kamata, Chikao Nakayama, Yoko Suzuki, Toshitaka Yamakawa, Toshihiro Hiraoka, Manabu Kano, Yukiyoshi Sumi, Fumi Masuda, Masahiro Matsuo, Hiroshi Kadotani
OBJECTIVE: Driver drowsiness detection is a key technology that can prevent fatal car accidents caused by drowsy driving. The present work proposes a driver drowsiness detection algorithm based on heart rate variability (HRV) analysis and validates the proposed method by comparing with electroencephalography (EEG)-based sleep scoring. METHODS: Changes in sleep condition affect the autonomic nervous system (ANS) and then HRV, which is defined as an RR interval (RRI) fluctuation on an electrocardiogram (ECG) trace...
November 2, 2018: IEEE Transactions on Bio-medical Engineering
Kush Kapur, Benjamin Sanchez, Adam Pacheck, Basil Darras, Seward B Rutkove, Rajesh Selukar
OBJECTIVE: Electrical impedance myography (EIM) is a quantitative and objective tool to evaluate muscle status. EIM offers the possibility to replace conventional physical functioning scores or quality of life measures which depend on patient cooperation and mood. METHODS: Here, we propose a functional mixed-effects model using a state-space approach to describe the response trajectories of EIM data measured on 16 boys with Duchenne muscular dystrophy (DMD) and 12 healthy controls, both groups measured over a period of 2 years...
November 1, 2018: IEEE Transactions on Bio-medical Engineering
Cormac McCarthy, Ian Kanterman, Fabian Trauzettel, H Alexander Jaeger, Alice-Anne Goetz, Benjamin Colvard, Lee Swanstrom, Padraig Cantillon-Murphy
OBJECTIVE: The goal of this work was to demonstrate technical feasibility of automated balloon pressure management during REBOA in the pre-clinical setting. METHODS: This paper presents an intelligent balloon management device which automates the balloon inflation process, preventing the possibility of balloon over or under inflation, optimizes inflation pressure and if indicated, deflates automating partial REBOA to allow distal organ perfusion. Edwards TruWave pressure transducers are used to monitor the blood pressure proximal and distal to the balloon, as well as the internal balloon pressure...
November 1, 2018: IEEE Transactions on Bio-medical Engineering
Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Unai Ayala, Erik Alonso, J Kramer-Johansen, Trygve Eftestol
GOAL: Accurate shock decision methods during piston-driven cardiopulmonary resuscitation (CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The best current methods are computationally demanding, and their accuracy could be improved. The objective of this work was to introduce a computationally efficient algorithm for shock decision during piston-driven CPR with increased accuracy. METHODS: The study dataset contains 201 shockable and 844 nonshockable ECG segments from 230 cardiac arrest patients treated with the LUCAS 2 mechanical CPR device...
October 31, 2018: IEEE Transactions on Bio-medical Engineering
Chao-Chuan Chang, Pei-Yu Chen, Hsin Huang, Chih-Chung Huang
OBJECTIVE: Zebrafish has been recently considered an ideal vertebrate for studying developmental biology, genetics, particularly for modeling tumorigenesis, angiogenesis, and regeneration in vivo. However, when a zebrafish matures completely, its body loses transparency, thus making conventional optical imaging techniques difficult for imaging internal anatomy and vasculature. Acoustic wave penetration outperforms optical methods, high-frequency (>30 MHz) ultrasound (HFUS) was consequently an alternative imaging modality for adult zebrafish imaging, particularly for echocardiography However, visualizing peripheral vessels in a zebrafish by using conventional HFUS is still difficult...
October 31, 2018: IEEE Transactions on Bio-medical Engineering
Chen Ye, Kentaroh Toyoda, Tomoaki Ohtsuki
Heart rate variability (HRV) indicates health condition and mental stress. The development of non-contact heart rate (HR) monitoring technique with Doppler radar is attracting great attentions. However, the performance of heartbeat detection via radar signal easily degrades, due to respiration and body motion. In this paper, first, a stochastic gradient approach is applied to reconstruct high-resolution spectrum of heartbeat, by proposing the zero-attracting sign least-mean-square (ZA-SLMS) algorithm. To correct the quantized gradient of cost function, and penalize the sparse constraint on the updating spectrum, more accurate heartbeat spectrum is reconstructed...
October 31, 2018: IEEE Transactions on Bio-medical Engineering
Venustiano Soancatl Aguilar, Octavio Martinez Manzanera, Deborah A Sival, Natasha M Maurits, Jos B T M Roerdink
Assessment of coordination disorders is valuable for monitoring progression of patients, distinguishing healthy and pathological conditions, and ultimately aiding in clinical decision making, thereby offering the possibility to improve medical care or rehabilitation. A common method to assess movement disorders is by using clinical rating scales. However, rating scales depend on the evaluation and interpretation of an observer, implying that subjective phenotypic assignment precedes the application of the scales...
October 29, 2018: IEEE Transactions on Bio-medical Engineering
Kihan Park, Gabrielle E Lonsberry, Marla Gearing, Allan I Levey, Jaydev P Desai
OBJECTIVE: The present study investigates viscoelastic properties of human autopsy brain tissue via nanoindentation to find feasible biomarkers for Alzheimer's Disease (AD) in ex vivo condition and to understand the mechanics of human brain better, especially on the difference before and after progression of AD. METHODS: Viscoelastic properties of paraformaldehyde-fixed, paraffin-embedded thin (8 μm) sectioned normal and AD affected human autopsy brain tissue samples are investigated via nanoindentation with a combined loading profile of a linear pre-loading and a sinusoidal loading at various loading frequencies from 0...
October 29, 2018: IEEE Transactions on Bio-medical Engineering
Andres Carvallo, Julien Modolo, Pascal Benquet, Stanislas Lagarde, Fabrice Bartolomei, Fabrice Wendling
OBJECTIVE: We aimed at providing an accurate estimation of human brain tissue electrical conductivity in clinico, using local, low-intensity pulsed stimulation. METHODS: Using the quasi-static approximation of Maxwell equations, we derived an analytical model of the electric field generated by intracerebral stereoelectroencephalography (SEEG) electrodes. We coupled this electric field model with a model of the electrode-electrolyte interface to provide an explicit, analytical expression of brain tissue conductivity based on the recorded brain tissue response to pulse stimulation...
October 24, 2018: IEEE Transactions on Bio-medical Engineering
Seung Woo Lee, Krishnan Thyagarajan, Shelley Fried
OBJECTIVE: Electrical stimulation via cortically- implanted electrodes has been proposed to treat a wide range of neurological disorders. Effectiveness has been limited, however, in part due to the inability of conventional electrodes to activate specific types of neurons while avoiding other types. Recent demonstrations that magnetic stimulation from a micro-coil can selectively activate pyramidal neurons (PNs) while avoiding passing axons suggest the possibility that such an approach can overcome some this limitation and here we use computer simulations to explore how the micro-coil design influences the selectivity with which neurons are activated...
October 23, 2018: IEEE Transactions on Bio-medical Engineering
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