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IEEE Transactions on Bio-medical Engineering

Jeremy Brown, Conor O'Brien, Sarah Leung, Kristoffel Dumon, David Lee, Katherine Kuchenbecker
OBJECTIVE: Most trainees begin learning robotic minimally invasive surgery by performing inanimate practice tasks with clinical robots such as the Intuitive Surgical da Vinci. Expert surgeons are commonly asked to evaluate these performances using standardized five-point rating scales, but doing such ratings is time consuming, tedious, and somewhat subjective. This article presents an automatic skill evaluation system that analyzes only the contact force with the task materials, the broad-bandwidth accelerations of the robotic instruments and camera, and the task completion time...
December 2, 2016: IEEE Transactions on Bio-medical Engineering
Zhifei Zhang, Yang Song, Haochen Cui, Jayne Wu, Fernando Schwartz, Hairong Qi
GOAL: Bucking the trend of big data, in microdevice engineering, small sample size is common, especially when the device is still at the proof-of-concept stage. The small sample size, small inter-class variation, and large intra-class variation, have brought biosignal analysis new challenges. Novel representation and classification approaches need to be developed to effectively recognize targets of interests with the absence of a large training set. METHODS: Moving away from the traditional signal analysis in the spatiotemporal domain, we exploit the biosignal representation in the topological domain that would reveal the intrinsic structure of point clouds generated from the biosignal...
December 2, 2016: IEEE Transactions on Bio-medical Engineering
Xiao Gao, David Bruce Grayden, Mark D McDonnell
OBJECTIVE: By modeling the cochlear implant (CI) electrode-to-nerve interface and quantifying electrode discriminability in the model, we address the questions of how many individual channels can be distinguished by CI recipients and the extent to which performance might be improved by inserting electrodes deeper into the cochlea. METHOD: We adapt an artificial neural network to model electrode discrimination, as well as a commonly used psychophysical measure (four-interval forcedchoice) in CI stimulation and predict how well the locations of the stimulating electrodes can be inferred from simulated auditory nerve spiking patterns...
December 1, 2016: IEEE Transactions on Bio-medical Engineering
Vahid Soleimani, Majid Mirmehdi, Dima Damen, James Dodd, Sion Hannuna, Charles Sharp, Massimo Camplani, Jason Viner
OBJECTIVE: We propose a remote, non-invasive approach to develop Pulmonary Function Testing (PFT) using a depth sensor. METHOD: After generating a point cloud from scene depth values, we construct a 3D model of the subject's chest. Then, by estimating the chest volume variation throughout a sequence, we generate volume-time and flow-time data for two prevalent spirometry tests: Forced Vital Capacity (FVC) and Slow Vital Capacity (SVC). Tidal volume and main effort sections of volume-time data are analysed and calibrated separately to remove the effects of a subject's torso motion...
December 1, 2016: IEEE Transactions on Bio-medical Engineering
Muhammad Kashif, Stephan Jonas, Thomas Deserno
OBJECTIVE: For long-term electrocardiography (ECG) recordings, accurate R-wave detection is essential. Several algorithms have been proposed but not yet compared on large, noisy, or pathological data, since manual ground truth establishment is impossible on such large data. METHODS: We apply the simultaneous truth and performance level estimation (STAPLE) method to ECG signals comparing 9 R-wave detectors: Pan & Tompkins (1985), Chernenko (2007), Arzeno et al. (2008), Manikandan et al...
December 1, 2016: IEEE Transactions on Bio-medical Engineering
Nisrine Jrad, Amar Kachenoura, Isabelle Merlet, Fabrice Bartolomei, Anca Nica, Arnaud Biraben, Fabrice Wendling
GOAL: Interictal High Frequency Oscillations (HFOs [30-600 Hz]) have proven to be relevant biomarkers in epilepsy. In this paper, four categories of HFOs are considered: Gamma ([30- 80 Hz]), High-Gamma ([80-120 Hz]), Ripples ([120-250 Hz]) and Fast-Ripples ([250-600 Hz]). A universal detector of the four types of HFOs is proposed. It has the advantages of i) classifying HFOs, and thus being robust to inter- and intra-subject variability; ii) rejecting artefacts, thus being specific. METHODS: Gabor atoms are tuned to cover the physiological bands...
November 29, 2016: IEEE Transactions on Bio-medical Engineering
Ioannis Vlachos, Balu Krishnan, David Treiman, Konstantinos Tsakalis, Dimitris Kugiumtzis, Leon Iassemidis
GOAL: Accurate determination of the epileptogenic focus is of paramount diagnostic and therapeutic importance in epilepsy. The current gold standard for focus localization is from ictal (seizure) onset and thus requires the occurrence and recording of multiple typical seizures of a patient. Localization of the focus from seizure-free (interictal) periods remains a challenging problem, especially in the absence of interictal epileptiform activity. METHODS: By exploring the concept of effective inflow, we developed a focus localization algorithm (FLA) based on directed connectivity between brain sites...
November 29, 2016: IEEE Transactions on Bio-medical Engineering
Ronald A Siegel, Ameya R Kirtane, Jayanth Panyam
OBJECTIVE: An in vivo kinetic framework is introduced to analyze and predict the quantitative advantage of using nanocarriers to deliver drugs, especially anticancer agents, compared to administering the same drugs in their free form. METHODS: This framework recognizes three levels of kinetics. First is the particokinetics associated with deposition of nanocarriers into tissues associated with drug effect and toxicity, their residence inside those tissues, and elimination of the nanocarriers from the body...
November 29, 2016: IEEE Transactions on Bio-medical Engineering
Alsharif Abuadbba, Ibrahim Khalil
Remote points-of-care has recently had a lot of attention for their advantages such as saving lives and cost reduction. The transmitted streams usually contain (1) normal biomedical signals (e.g. ECG) and (2) highly private information (e.g. patient identity). Despite the obvious advantages, the primary concerns are privacy and authenticity of the transferred data. Therefore, this paper introduces a novel steganographic mechanism that ensures (1) strong privacy preservation of private information by random concealing inside the transferred signals employing a key, and (2) evidence of originality for the biomedical signals...
November 29, 2016: IEEE Transactions on Bio-medical Engineering
Alan H Gee, Riccardo Barbieri, David Paydarfar, Premananda Indic
OBJECTIVE: Episodes of bradycardia are common and recur sporadically in preterm infants, posing a threat to the developing brain and other vital organs. We hypothesize that bradycardias are a result of transient temporal destabilization of the cardiac autonomic control system and that fluctuations in the heart rate signal might contain information that precedes bradycardia. We investigate infant heart rate fluctuations with a novel application of point process theory. METHODS: In 10 preterm infants, we estimate instantaneous linear measures of the heart rate signal in neonates, use these measures to extract statistical features of bradycardia, and propose a simplistic framework for prediction of bradycardia...
November 24, 2016: IEEE Transactions on Bio-medical Engineering
Swayambhoo Jain, Urvashi Oswal, Kevin Xu, Brian Eriksson, Jarvis Haupt
The measurement and analysis of Electrodermal Activity (EDA) offers applications in diverse areas ranging from market research, to seizure detection, to human stress analysis. Unfortunately, the analysis of EDA signals is made difficult by the superposition of numerous components which can obscure the signal information related to a user's response to a stimulus. We show how simple pre-processing followed by a novel compressed sensing based decomposition can mitigate the effects of the undesired noise components and help reveal the underlying physiological signal...
November 23, 2016: IEEE Transactions on Bio-medical Engineering
Lei Wang, Peder Pedersen, Emmanuel Agu, Diane Strong, Bengisu Tulu
It is standard practice for clinicians and nurses to primarily assess patients' wounds via visual examination. This subjective method can be inaccurate in wound assessment and also represents a significant clinical workload. Hence, computer-based systems, especially implemented on mobile devices, can provide automatic, quantitative wound assessment and can thus be valuable for accurately monitoring wound healing status. Out of all wound assessment parameters, the measurement of the wound area is the most suitable for automated analysis...
November 23, 2016: IEEE Transactions on Bio-medical Engineering
Kenneth R Ball, W David Hairston, Piotr J Franaszczuk, Kay A Robbins
OBJECTIVE: In this paper we present and test a new method for the identification and removal of non-stationary utility line noise from biomedical signals. METHODS: The method, Band Limited Atomic Sampling with Spectral Tuning (BLASST), is an iterative approach that is designed to (1) fit non-stationarities in line noise by searching for best-fit Gabor atoms at predetermined time points, (2) self-modulate its fit by leveraging information from frequencies surrounding the target frequency, and (3) terminate based on a convergence criterion obtained from the same surrounding frequencies...
November 23, 2016: IEEE Transactions on Bio-medical Engineering
Angshul Majumdar, Anupriya Gogna, Rabab Ward
: An autoencoder based framework that simultaneously reconstruct and classify biomedical signals is proposed. Previous work has treated reconstruction and classification as separate problems. This is the first work that proposes a combined framework to address the issue in a holistic fashion. METHODS: For tele-monitoring purposes, reconstruction techniques of biomedical signals are largely based on compressed sensing (CS); these are 'designed' techniques where the reconstruction formulation is based on some 'assumption' regarding the signal...
November 22, 2016: IEEE Transactions on Bio-medical Engineering
Yacheng Ren, Jingchen Ma, Junfeng Xiong, Lin Lu, Jun Zhao
OBJECTIVE: Computer-aided detection (CAD) systems for computed tomography colonography (CTC) can automatically detect colorectal polyps. The main problem of currently developed CAD-CTC systems is the numerous false positives (FPs) caused by the existence of complicated colon structures (e.g., haustral fold, residual fecal material, inflation tube, and ileocecal valve). This study proposes a CAD-CTC scheme using shape index, multiscale enhancement filters, and radiomic features to address the FP issue...
November 22, 2016: IEEE Transactions on Bio-medical Engineering
Weibao Qiu, Xingying Wang, Yan Chen, Qiang Fu, Min Su, Lining Zhang, Jingjing Xia, Jiyan Dai, Yaonan Zhang, Hairong Zheng
Advances in methodologies and tools often lead to new insights into cardiovascular diseases. Intravascular ultrasound (IVUS) is a well-established diagnostic method that provides high-resolution images of the vessel wall and atherosclerotic plaques. High-frequency (>50 MHz) ultrasound enables the spatial resolution of IVUS to approach that of optical imaging methods. However, the penetration depth decreases when using higher imaging frequencies due to the greater acoustic attenuation. An imaging method that improves the penetration depth of high-resolution IVUS would therefore be of major clinical importance...
November 22, 2016: IEEE Transactions on Bio-medical Engineering
Gabriel Chartrand, Thierry Cresson, Ramnada Chav, Akshat Gotra, An Tang, Jacques A de Guise
OBJECTIVE: The purpose of this paper is to describe a semi-automated segmentation method for the liver and evaluate its performance on CT-scan and MR images. METHODS: First, an approximate 3D model of the liver is initialized from a few usergenerated contours to globally outline the liver shape. The model is then automatically deformed by a Laplacian mesh optimization scheme until it precisely delineates the patient's liver. A correction tool was implemented to allow the user to improve the segmentation until satisfaction...
November 21, 2016: IEEE Transactions on Bio-medical Engineering
Mohammad Hassan Shariat, Saeed Gazor, Damian Redfearn
OBJECTIVE: We introduce novel methods to identify the active intervals (AIs) of intracardiac electrograms (IEGMs) during complex arrhythmias, such as atrial fibrillation (AF). METHODS: We formulate the AI extraction problem, which consists of estimating the beginning and duration of the AIs, as a sequence of hypothesis tests. In each test, we compare the variance of a small portion of the bipolar IEGM with its adjacent segments. We propose modified general-likelihood-ratio (MGLR) and separating-function-estimation tests; we derive five test statistics (TSs), and show that the AIs can be obtained by threshold crossing the TSs...
November 18, 2016: IEEE Transactions on Bio-medical Engineering
Antoine Falisse, Sam Van Rossom, Ilse Jonkers, Friedl De Groote
OBJECTIVE: The purpose of this paper is to propose an optimal control problem formulation to estimate subject-specific Hill model muscle-tendon (MT-) parameters of the knee joint actuators by optimizing the fit between experimental and model-based knee moments. Additionally, this paper aims at determining which sets of functional motions contain the necessary information to identify the MT-parameters. METHODS: The optimal control and parameter estimation problem underlying the MT-parameter estimation is solved for subject-specific MT-parameters via direct collocation using an electromyography-driven musculoskeletal model...
November 18, 2016: IEEE Transactions on Bio-medical Engineering
Marco A F Pimentel, Alistair E W Johnson, Peter H Charlton, Drew Birrenkott, Peter J Watkinson, Lionel Tarassenko, David A Clifton
OBJECTIVE: Current methods for estimating respiratory rate (RR) from the photoplethysmogram (PPG) typically fail to distinguish between periods of high- and low-quality input data, and fail to perform well on independent "validation" datasets. The lack of robustness of existing methods directly results in a lack of penetration of such systems into clinical practice. The present work proposes an alternative method to improve the robustness of the estimation of RR from the PPG. METHODS: The proposed algorithm is based on the use of multiple autoregressive models of different orders for determining the dominant respiratory frequency in the three respiratory-induced variations (frequency, amplitude and intensity) derived from the PPG...
November 18, 2016: IEEE Transactions on Bio-medical Engineering
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