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IEEE Transactions on Bio-medical Engineering

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https://www.readbyqxmd.com/read/28221991/detecting-clinically-meaningful-shape-clusters-in-medical-image-data-metrics-analysis-for-hierarchical-clustering-applied-to-healthy-and-pathological-aortic-arches
#1
Jan L Bruse, Maria A Zuluaga, Abbas Khushnood, Kristin McLeod, Hopewell N Ntsinjana, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew M Taylor, Silvia Schievano
OBJECTIVE: Today's growing medical image databases call for novel processing tools to structure the bulk of data and extract clinically relevant information. Unsupervised hierarchical clustering may reveal clusters within anatomical shape data of patient populations as required for modern Precision Medicine strategies. Few studies have applied hierarchical clustering techniques to three-dimensional patient shape data and results depend heavily on the chosen clustering distance metrics and linkage functions...
February 16, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28212076/selecting-power-efficient-signal-features-for-a-low-power-fall-detector
#2
Changhong Wang, Stephen Redmond, Wei Lu, Michael Stevens, Stephen Lord, Nigel Lovell
Falls are a serious threat to the health of older people. A wearable fall detector can automatically detect the occurrence of a fall and alert a caregiver or an emergency response service so they may deliver immediate assistance, improving the chances of recovering from fall-related injuries. One constraint of such a wearable technology is its limited battery life. Thus, minimization of power consumption is an important design concern, all the while maintaining satisfactory accuracy of the fall detection algorithms implemented on the wearable device...
February 15, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28212074/a-review-of-in-body-biotelemetry-devices-implantables-ingestibles-and-injectables
#3
Asimina Kiourti, Konstantina S Nikita
: We present a review of wireless medical devices that are placed inside the human body to realize many and different sensing and/or stimulating functionalities. METHODS: A critical literature review analysis is conducted focusing on three types of in-body medical devices, i.e., a) devices that are implanted inside the human body (implantables), b) devices that are ingested like regular pills (ingestibles), and c) devices that are injected into the human body via needles (injectables)...
February 14, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28212075/towards-photoplethysmography-based-estimation-of-instantaneous-heart-rate-during-physical-activity
#4
Delaram Jarchi, Alex Casson
OBJECTIVE: Recently numerous methods have been proposed for estimating average heart rate using photoplethysmography (PPG) during physical activity, overcoming the significant interference that motion causes in PPG traces. We propose a new algorithm framework for extracting instantaneous heart rate from wearable PPG and ECG signals to provide an estimate of heart rate variability during exercise. METHODS: For ECG signals we propose a new spectral masking approach which modifies a particle filter tracking algorithm, and for PPG signals constrains the instantaneous frequency obtained from the Hilbert transform to a region of interest around a candidate heart rate measure...
February 13, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28207382/a-portable-brain-computer-interface-platform-for-eeg-acquisition-and-decoding
#5
Colin McCrimmon, Jonathan Fu, Ming Wang, Lucas Silva Lopes, Po Wang, Alireza Karimi-Bidhendi, Charles Liu, Payam Heydari, Zoran Nenadic, An Do
OBJECTIVE: Conventional brain-computer interfaces (BCIs) are often expensive, complex to operate, and lack portability, which confines their use to laboratory settings. Portable, inexpensive BCIs can mitigate these problems, but it remains unclear whether their low-cost design compromises their performance. Therefore, we developed a portable, low-cost BCI and compared its performance to that of a conventional BCI. METHODS: The BCI was assembled by integrating a custom electroencephalogram (EEG) amplifier with an open-source microcontroller and a touchscreen...
February 13, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28186876/automated-classification-of-breast-cancer-stroma-maturity-from-histological-images
#6
Sara Reis, Patrycja Gazinska, John Hipwell, Thomy Mertzanidou, Kalnisha Naidoo, Norman Williams, Sarah Pinder, David J Hawkes
OBJECTIVE: The tumour microenvironment plays a crucial role in regulating tumour progression by a number of different mechanisms, in particular the remodelling of collagen fibres in tumour-associated stroma, which has been reported to be related to patient survival. The underlying motivation of this work is that remodelling of collagen fibres gives rise to observable patterns in Hematoxylin and Eosin (H&E) stained slides from clinical cases of invasive breast carcinoma that the pathologist can label as mature or immature stroma...
February 7, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28186875/freezing-of-gait-detection-in-parkinson-s-disease-a-subject-independent-detector-using-anomaly-scores
#7
Thuy T Pham, Steven T Moore, Simon J G Lewis, Diep N Nguyen, Eryk Dutkiewicz, Andrew J Fuglevand, Alistair L McEwan, Philip H W Leong
Freezing of gait (FoG) is common in Parkinsonian gait and strongly relates to falls. Current clinical FoG assessments are patients' self-report diaries and experts' manual video analysis. Both are subjective and yield moderate reliability. Existing detection algorithms have been predominantly designed in subject-dependent settings. In this work, we aim to develop an automated FoG detector for subject-independent. After extracting highly relevant features, we apply anomaly detection techniques to detect FoG events...
February 7, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28182552/bubble-entropy-an-entropy-almost-free-of-parameters
#8
George Manis, Md Aktaruzzaman, Roberto Sassi
OBJECTIVE: A critical point in any definition of entropy is the selection of the parameters employed to obtain an estimate in practice. We propose a new definition of entropy aiming to reduce the significance of this selection. METHODS: We call the new definition Bubble Entropy. Bubble Entropy is based on Permutation Entropy, where the vectors in the embedding space are ranked. We use the bubble sort algorithm for the ordering procedure and count instead the number of swaps performed for each vector...
February 6, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28182551/fetal-qt-interval-estimation-using-sequential-hypothesis-testing
#9
Suhong Yu, Barry VanVeen, William Lutter, Ronald Wakai
OBJECTIVE: Recent studies utilizing fetal magnetocardiography have demonstrated the efficacy of corrected QT interval (QTc) measurement for in utero diagnosis and prognosis of long QT syndrome, a leading cause of sudden death in early life. The objective of the study was to formulate and test a novel statistical estimation method to detect the end of the fetal T-wave and thereby improve the accuracy of fetal QT interval measurement. METHODS: To detect the end of the T-wave we apply a sequential composite hypothesis test to decide when the T-wave has returned to baseline...
February 2, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28166488/single-shot-t2-mapping-through-overlapping-echo-detachment-oled-planar-imaging
#10
Congbo Cai, Yiqing Zeng, Yuchuan Zhuang, Shuhui Cai, Lin Chen, Xinghao Ding, Lijun Bao, Jianhui Zhong, Zhong Chen
OBJECTIVE: Develop a reliable single-shot T2 mapping method with extra robustness to motion and the potential for realtime dynamic and quantitative MR imaging. METHODS: A singleshot T2 mapping sequence was proposed based on spin-echo planar imaging (SE-EPI) acquisition scheme. Two overlapped echo signals with different T2 weighting were obtained simultaneously by using two small flip-angle excitation pulses and corresponding echo-shifting gradients. Detachment algorithm based on structure similarity constraint was proposed to separate the two echo signals...
January 31, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28141516/a-versatile-noise-performance-metric-for-electrical-impedance-tomography-algorithms
#11
Fabian Braun, Martin Proenca, Josep Sola, Jean-Philippe Thiran, Andy Adler
Electrical impedance tomography (EIT) is an emerging technology for real-time monitoring of patients under mechanical ventilation. EIT has the potential to offer continuous medical monitoring while being non-invasive, radiation-free and low-cost. Due to their ill-posedness, image reconstruction typically uses regularization, which implies a hyperparameter controlling the trade-off between noise rejection and resolution or other accuracies. In order to compare reconstruction algorithms, it is common to choose hyperparameter values such that the reconstructed images have equal noise performance (NP), i...
January 26, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28141515/automatic-quantification-of-radiographic-wrist-joint-space-width-of-patients-with-rheumatoid-arthritis
#12
Yinghe Huo, Koen I Vincken, Desiree van der Heijde, Maria J H De Hair, Floris P Lafeber, Max A Viergever
OBJECTIVE: Wrist joint space narrowing is a main radiographic outcome of rheumatoid arthritis (RA). Yet, automatic radiographic wrist joint space width (JSW) quantification for RA patients has not been widely investigated. The aim of this paper is to present an automatic method to quantify the JSW of three wrist joints that are least affected by bone overlapping and are frequently involved in RA. These joints are located around the scaphoid bone, viz. the multangular-navicular, capitate-navicular-lunate, and radiocarpal joints...
January 26, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28141514/terahertz-imaging-of-cutaneous-edema-correlation-with-magnetic-resonance-imaging-in-burn-wounds
#13
Neha Bajwa, Shijun Sung, Daniel B Ennis, Michael C Fishbein, Bryan Nowroozi, Dan Ruan, Ashkan Maccabi, Jeffrey Alger, Maie A St John, Warren S Grundfest, Zachary D Taylor
OBJECTIVE: In vivo visualization and quantification of edema, or 'tissue swelling' following injury, remains a clinical challenge. Herein, we investigate the ability of reflective terahertz (THz) imaging to track changes in tissue water content (TWC) - the direct indicator of edema- by comparison to depth-resolved magnetic resonance imaging (MRI) in a burn-induced model of edema. METHODS: A partial thickness and full thickness burn were induced in an in vivo rat model to elicit unique TWC perturbations corresponding to burn severity...
January 26, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28141513/efficient-oct-volume-reconstruction-from-slitlamp-microscopes
#14
Stefanos Apostolopoulos, Raphael Sznitman
Since its introduction 25 years ago, Optical Coherence Tomography (OCT) has contributed tremendously to diagnostic and monitoring capabilities of pathologies in the field of ophthalmology. Despite rapid progress in hardware and software technology however, the price of OCT devices has remained high, limiting their use in private practice and in screening examinations. In this paper, we present a slitlamp-integrated OCT device, built with off-the-shelf components, which can generate high-quality volumetric images of the posterior eye segment...
January 26, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28129146/a-variance-distribution-model-of-surface-emg-signals-based-on-inverse-gamma-distribution
#15
Hideaki Hayashi, Akira Furui, Yuichi Kurita, Toshio Tsuji
OBJECTIVE: This paper describes the formulation of a surface electromyogram (EMG) model capable of representing the variance distribution of EMG signals. METHODS: In the model, EMG signals are handled based on a Gaussian white noise process with a mean of zero for each variance value. EMG signal variance is taken as a random variable that follows inverse gamma distribution, allowing the representation of noise superimposed onto this variance. Variance distribution estimation based on marginal likelihood maximization is also outlined in this paper...
January 25, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28129147/myocardium-segmentation-from-de-mri-using-multi-component-gaussian-mixture-model-and-coupled-level-set
#16
Jie Liu, Xiahai Zhuang, Lianming Wu, Dongaolei An, Jianrong Xu, Terry Peters, Lixu Gu
OBJECTIVE: In this paper, we propose a fully 2 automatic framework for myocardium segmentation of 3 delayed-enhancement (DE) MRI images without relying on 4 prior patient-specific information. METHODS: We employ a 5 multi-component Gaussian mixture model to deal with the 6 intensity heterogeneity of myocardium caused by the infarcts. 7 To differentiate the myocardium from other tissues with similar 8 intensities, while at the same time maintain spatial continuity, 9 we introduce a coupled level set (CLS) to regularize the 10 posterior probability...
January 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28129144/geometry-based-pectoral-muscle-segmentation-from-mlo-mammogram-views
#17
Saeid Asgari Taghanaki, Yonghuai Liu, Brandon Miles, Ghassan Hamarneh
Computer aided diagnosis systems (CADx) play a major role in the early diagnosis of breast cancer. Extracting the breast region precisely from a mammogram is an essential component of CADx for mammography. The appearance of the pectoral muscle on medio-lateral oblique (MLO) views increases the false positive rate in CADx. Therefore, the pectoral muscle should be identified and removed from the breast region in an MLO image before further analysis. None of the previous pectoral muscle segmentation methods address all breast types based on the breast imaging-reporting and data system (BIRADS) tissue density classes...
January 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28113200/design-and-characterization-of-an-exoskeleton-for-perturbing-the-knee-during-gait
#18
Michael R Tucker, Camila Shirota, Olivier Lambercy, James Sulzer, Roger Gassert
OBJECTIVE: An improved understanding of mechanical impedance modulation in human joints would provide insights about the neuromechanics underlying functional movements. Experimental estimation of impedance requires specialized tools with highly reproducible perturbation dynamics and reliable measurement capabilities. This paper presents the design and mechanical characterization of the ETH Knee Perturbator: an actuated exoskeleton for perturbing the knee during gait. METHODS: A novel wearable perturbation device was developed based on specific experimental objectives...
January 20, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28113199/smart-gait-aid-glasses-for-parkinson-s-disease-patients
#19
DaeHan Ahn, Hyerim Chung, Ho-Won Lee, Kyunghun Kang, Pan-Woo Ko, Nam Sung Kim, Taejoon Park
Parkinson's disease (PD) is a chronic progressive disease caused by loss of dopaminergic neurons in the substantia nigra, degenerating the nervous system of a patient over time. Freezing of gait (FOG), which is a form of akinesia, is a symptom of PD. Meanwhile, recent studies show that the gait of PD patients experiencing FOG can be significantly improved by providing the regular visual or auditory patterns for the patients. In this paper, we propose a gait-aid system built upon smart glasses. Our system continuously monitors the gait and so on of a PD patient to detect FOG, and upon detection of FOG it projects visual patterns on the glasses as if the patterns were actually on the floor...
January 19, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28103545/a-multimodal-speech-capture-system-for-speech-rehabilitation-and-learning
#20
Nordine Sebkhi, Dhyey Desai, Mohammad Islam, Jun Lu, Kimberly Wilson, Maysam Ghovanloo
Speech-language pathologists (SLPs) are trained to correct articulation of people diagnosed with motor speech disorders by analyzing articulators' motion and assessing speech outcome while patients speak. To assist SLPs in this task, we are presenting the Multimodal Speech Capture System (MSCS) that records and displays kinematics of key speech articulators, the tongue and lips, along with voice, using unobtrusive methods. Collected speech modalities, tongue motion, lips gestures, and voice, are visualized not only in real-time to provide patients with instant feedback but also offline to allow SLPs to perform post-analysis of articulators' motion, particularly the tongue, with its prominent but hardly visible role in articulation...
January 18, 2017: IEEE Transactions on Bio-medical Engineering
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