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https://www.readbyqxmd.com/read/28227910/development-of-a-three-dimensional-lattice-free-multiscale-model-of-the-mammary-terminal-end-bud
#1
Joseph D Butner, Vittorio Cristini, Zhihui Wang, Joseph D Butner, Vittorio Cristini, Zhihui Wang, Vittorio Cristini, Joseph D Butner, Zhihui Wang
The terminal end bud (TEB) is a bulbous structure composed of highly proliferative cells that is responsible for mammary gland development during the pubertal stage. This is a highly organized process, involving cellular differentiation hierarchies regulated by endocrine and paracrine signaling. Here, we present development of a lattice-free, three dimensional multiscale agent based model of the TEB to study the effects of cellular phenotypic hierarchies, endocrine and paracrine signaling, and proliferation demographics on pubertal mammary gland development...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227837/progressive-abduction-loading-therapy-targeting-flexion-synergy-to-regain-reaching-function-in-chronic-stroke-preliminary-results-from-an-rct
#2
Michael D Ellis, Carolina Carmona, Justin Drogos, Stuart Traxel, Julius P A Dewald, Michael D Ellis, Carolina Carmona, Justin Drogos, Stuart Traxel, Julius P A Dewald, Stuart Traxel, Michael D Ellis, Carolina Carmona, Julius P A Dewald, Justin Drogos
Reaching function is impaired following stroke due to abnormal coupling of shoulder abduction and elbow flexion. This phenomenon is commonly referred to as flexion synergy, loss of independent joint control, or impaired joint individuation. We have been successful in treating individuals with chronic stroke with moderate to severe motor impairments through the employment of targeted rehabilitation robotics and identified progressive abduction loading as a key element to the rehabilitation of reaching. Here we expand upon the investigation of progressive abduction loading therapy by testing two variants of the exercise in a larger sample and including a 3-month follow-up...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227832/sinusoidal-stimulation-trains-suppress-epileptiform-spikes-induced-by-4-ap-in-the-rat-hippocampal-ca1-region-in-vivo
#3
Zheshan Guo, Zhouyan Feng, Ying Yu, Wenjie Zhou, Zhaoxiang Wang, Xuefeng Wei, Zheshan Guo, Zhouyan Feng, Ying Yu, Wenjie Zhou, Zhaoxiang Wang, Xuefeng Wei, Ying Yu, Zhouyan Feng, Xuefeng Wei, Zhaoxiang Wang, Zheshan Guo, Wenjie Zhou
Deep brain stimulation (DBS) shows promises in the treatment of refractory epilepsy. Due to the complex causes of epilepsy, the mechanisms of DBS are still unclear. Depolarization block caused by the persistent excitation of neurons may be one of the possible mechanisms. To test the hypothesis, 4-aminopyridine (4-AP) was injected in rat hippocampal CA1 region in-vivo to induce epileptiform activity. Sinusoidal stimulation trains were applied to the afferent pathway (Schaffer collaterals) of CA1 region to suppress the epileptiform spikes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227818/detecting-divisions-of-the-autonomic-nervous-system-using-wearables
#4
Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Kevin S Xu, Brian Eriksson, Annamalai Natarajan
The ability to assess a user's emotional reaction from biometrics has applications in personalization, recommendation, and enhancing user experiences, among other areas. Unfortunately, understanding the connection between biometric signals and user reactions has previously focused on black box techniques that are opaque to the underlying physiology of the user. In this paper, we explore a novel user study connecting biometric reaction to external stimuli and changes in the user's autonomic nervous system. Specifically, we focus on two competing responses, namely the sympathetic and parasympathetic nervous system, and how differing activations are related to different user responses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227779/revealing-oral-medication-patterns-from-reconstructed-long-term-medication-history-of-type-2-diabetes
#5
Purnomo Husnul Khotimah, Yuichi Sugiyama, Masatoshi Yoshikawa, Akihiro Hamasaki, Kazuya Okamoto, Tomohiro Kuroda, Purnomo Husnul Khotimah, Yuichi Sugiyama, Masatoshi Yoshikawa, Akihiro Hamasaki, Kazuya Okamoto, Tomohiro Kuroda, Kazuya Okamoto, Purnomo Husnul Khotimah, Yuichi Sugiyama, Akihiro Hamasaki, Masatoshi Yoshikawa, Tomohiro Kuroda
With the growing attention to evidence-based medical guideline development, longitudinal analysis of Electronic Medical Records (EMR) has become a good tool for providing insight into and new knowledge on the existing therapy. For chronic diseases, longitudinal analysis of medication history plays a key role in reaching this goal. However, raw medication data in EMR are not suitable for longitudinal analysis for several reasons. First, many prescriptions have a short duration. Second, the prescription duration may have a gap or overlap with other prescription durations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227759/mining-cross-frequency-coupling-microstates-cfc%C3%AE-states-from-eeg-recordings-during-resting-state-and-mental-arithmetic-tasks
#6
Stavros I Dimitriadis, Yu Sun, Nitish Thakor, Anastasios Bezerianos, Stavros I Dimitriadis, Yu Sun, Nitish Thakor, Anastasios Bezerianos, Stavros I Dimitriadis, Yu Sun, Nitish Thakor, Anastasios Bezerianos
The functional brain connectivity has been studied by analyzing synchronization between dynamic oscillations of identical frequency or between different frequencies of distinct brain areas. It has been hypothesized that cross-frequency coupling (CFC) between different frequency bands is the carrier mechanism for the coordination of global and local neural processes and hence supports the distributed information processing in the brain. In the present study, we attempt to study the dynamic evolution of CFC at resting-state and during a mental task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227752/multiscale-analysis-of-information-dynamics-for-linear-multivariate-processes
#7
Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo, Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo, Alessandro Montalto, Luca Faes, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
In the study of complex physical and physiological systems represented by multivariate time series, an issue of great interest is the description of the system dynamics over a range of different temporal scales. While information-theoretic approaches to the multiscale analysis of complex dynamics are being increasingly used, the theoretical properties of the applied measures are poorly understood. This study introduces for the first time a framework for the analytical computation of information dynamics for linear multivariate stochastic processes explored at different time scales...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227606/video-analysis-validation-of-a-real-time-physical-activity-detection-algorithm-based-on-a-single-waist-mounted-tri-axial-accelerometer-sensor
#8
Alan K Bourke, Espen A F Ihlen, Pepijn Van de Ven, John Nelson, Jorunn L Helbostad, Alan K Bourke, Espen A F Ihlen, Pepijn Van de Ven, John Nelson, Jorunn L Helbostad, Jorunn L Helbostad, Alan K Bourke, John Nelson, Pepijn Van de Ven, Espen Af Ihlen
We have validated a real-time activity classification algorithm based on monitoring by a body worn system which is potentially suitable for low-power applications on a relatively computationally lightweight processing unit. The algorithm output was validated using annotation data generated from video recordings of 20 elderly volunteers performing both a semi-structured protocol and a free-living protocol. The algorithm correctly identified sitting 75.1% of the time, standing 68.8% of the time, lying 50.9% of the time, and walking and other upright locomotion 82...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227605/an-accelerometer-based-system-to-measure-myocardial-performance-index-during-stress-testing
#9
Anh Dinh, Francis M Bui, Tam Nguyen, Anh Dinh, Francis M Bui, Tam Nguyen, Tam Nguyen, Anh Dinh, Francis M Bui
Stress testing is used to measure the performance of the heart in an elevated stress state, in order to monitor or diagnose certain heart problems. Many measurements can be used to determine the performance of the heart, with the Tei index being the measurement of interest in this work. The Tei index has been used as a reliable method to evaluate systolic and diastolic performance, as it overcomes some limitations of the classical echocardiographic indices. It is calculated based on the time intervals derived from echocardiography...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227509/development-of-a-brain-monitoring-system-for-multimodality-investigation-in-awake-rats
#10
Kanokwan Limnuson, Raj K Narayan, Amrit Chiluwal, Chad Bouton, Ping Wang, Chunyan Li, Kanokwan Limnuson, Raj K Narayan, Amrit Chiluwal, Chad Bouton, Ping Wang, Chunyan Li, Chunyan Li, Ping Wang, Kanokwan Limnuson, Amrit Chiluwal, Raj K Narayan, Chad Bouton
Multimodal brain monitoring is an important approach to gain insight into brain function, modulation, and pathology. We have developed a unique micromachined neural probe capable of real-time continuous monitoring of multiple physiological, biochemical and electrophysiological variables. However, to date, it has only been used in anesthetized animals due to a lack of an appropriate interface for awake animals. We have developed a versatile headstage for recording the small neural signal and bridging the sensors to the remote sensing units for multimodal brain monitoring in awake rats...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227473/use-of-activity-theory-based-need-finding-for-biomedical-device-development
#11
Shalaleh Rismani, Matt Ratto, H F Machiel Van der Loos, Shalaleh Rismani, Matt Ratto, H F Machiel Van der Loos, Shalaleh Rismani, Matt Ratto
Identifying the appropriate needs for biomedical device design is challenging, especially for less structured environments. The paper proposes an alternate need-finding method based on Cultural Historical Activity Theory and expanded to explicitly examine the role of devices within a socioeconomic system. This is compared to a conventional need-finding technique in a preliminary study with engineering student teams. The initial results show that the Activity Theory-based technique allows teams to gain deeper insights into their needs space...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227451/cuff-pressure-induced-pat-changes-modelling-and-experimental-verification-towards-calibration-of-blood-pressure-surrogates
#12
Erik Bresch, Lars Schmitt, Dennis De Matteis, Jens Muehlsteff, Erik Bresch, Lars Schmitt, Dennis De Matteis, Jens Muehlsteff, Erik Bresch, Dennis De Matteis, Lars Schmitt, Jens Muehlsteff
Arterial Blood Pressure (ABP) is one of the most often measured vital parameters in daily clinical practice. State-of-the-Art non-invasive ABP measurement technologies have obvious limitations and are still mainly based on uncomfortable techniques by complete or partial occlusions of arteries. Additionally, embodiments are bulky, difficult to apply for the layman, or provide only intermittent measurements. We have been investigating the pulse arrival time (PAT) and pulse transit time (PTT) methodology for unobtrusive blood pressure (BP) measurements...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227424/atrioventricular-junction-avj-motion-tracking-a-software-tool-with-itk-vtk-qt
#13
Pengdong Xiao, Shuang Leng, Xiaodan Zhao, Hua Zou, Ru San Tan, Philip Wong, Liang Zhong, Pengdong Xiao, Shuang Leng, Xiaodan Zhao, Hua Zou, Ru San Tan, Philip Wong, Liang Zhong, Ru San Tan, Pengdong Xiao, Philip Wong, Hua Zou, Shuang Leng, Liang Zhong, Xiaodan Zhao
The quantitative measurement of the Atrioventricular Junction (AVJ) motion is an important index for ventricular functions of one cardiac cycle including systole and diastole. In this paper, a software tool that can conduct AVJ motion tracking from cardiovascular magnetic resonance (CMR) images is presented by using Insight Segmentation and Registration Toolkit (ITK), The Visualization Toolkit (VTK) and Qt. The software tool is written in C++ by using Visual Studio Community 2013 integrated development environment (IDE) containing both an editor and a Microsoft complier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227400/sulcal-curve-extraction-using-laplace-beltrami-eigenfunction-level-sets
#14
Rosita Shishegar, Mary Tolcos, David W Walker, Leigh A Johnston, Rosita Shishegar, Mary Tolcos, David W Walker, Leigh A Johnston, David W Walker, Mary Tolcos, Leigh A Johnston, Rosita Shishegar
The complexity of the human cortex is demonstrated in the intricate pattern of gyri and sulci that arise from the cortical folding process during development. Quantitative assessment of cortical folding is important in the definition of normal brain development and provides insight into neurodevelopmental disorders. In this work, a method for sulcal curve extraction is proposed that combines the advantages of previously proposed depth based and curvature based methods. The technique, derived from Laplace Beltrami eigenfunction level sets, maps mean curvature on the level sets, and incorporates depth information using extracted sulci and gyri, a characteristic previously attributed only to depth based methods...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227316/dynamic-knee-muscle-co-contraction-quantified-during-walking
#15
Annachiara Strazza, Alessandro Mengarelli, Valentina Agostini, Marco Knaflitz, Laura Burattini, Sandro Fioretti, Francesco Di Nardo, Annachiara Strazza, Alessandro Mengarelli, Valentina Agostini, Marco Knaflitz, Laura Burattini, Sandro Fioretti, Francesco Di Nardo, Sandro Fioretti, Francesco Di Nardo, Annachiara Strazza, Valentina Agostini, Marco Knaflitz, Laura Burattini, Alessandro Mengarelli
The purpose of the present study was the quantification of the co-activation patterns of the knee extensor and flexor muscles during walking at self-selected speed and cadence. To this aim, the Statistical Gait Analysis, a recent methodology providing a statistical characterization of gait, was performed on surface EMG signals from Vastus Lateralis (VL) and Medial Hamstrings (MH) in 14 healthy young adult subjects. Muscular co-contraction was assessed as the overlapping period between activation intervals of agonist and antagonist muscles...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227221/fundamentals-of-left-ventricular-volume-representation
#16
Peter L Kerkhof, Peter L Kerkhof, Peter L Kerkhof
The volume regulation graph is meant to relate the fundamental determinants of left ventricular (LV) function, namely end-systolic volume (ESV) and end-diastolic volume (EDV). This representation permits evaluation of the LV remodeling process, convenient stratification for clinically relevant covariates, as well as inscription of iso-stroke volume (SV) and iso-ejection fraction (EF) trajectories, the latter two as linear relationships. This retrospective study discusses LV volumetric parameters obtained from 155 patients (65 females) covering a wide spectrum of heart diseases...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227201/can-we-discriminate-between-apnea-and-hypopnea-using-audio-signals
#17
M Halevi, E Dafna, A Tarasiuk, Y Zigel, M Halevi, E Dafna, A Tarasiuk, Y Zigel, A Tarasiuk, Y Zigel, M Halevi, E Dafna
Obstructive sleep apnea (OSA) affects up to 14% of the population. OSA is characterized by recurrent apneas and hypopneas during sleep. The apnea-hypopnea index (AHI) is frequently used as a measure of OSA severity. In the current study, we explored the acoustic characteristics of hypopnea in order to distinguish it from apnea. We hypothesize that we can find audio-based features that can discriminate between apnea, hypopnea and normal breathing events. Whole night audio recordings were performed using a non-contact microphone on 44 subjects, simultaneously with the polysomnography study (PSG)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227108/analysis-of-spontaneous-eeg-activity-in-alzheimer-s-disease-using-cross-sample-entropy-and-graph-theory
#18
Carlos Gomez, Jesus Poza, Javier Gomez-Pilar, Alejandro Bachiller, Celia Juan-Cruz, Miguel A Tola-Arribas, Alicia Carreres, Monica Cano, Roberto Hornero, Carlos Gomez, Jesus Poza, Javier Gomez-Pilar, Alejandro Bachiller, Celia Juan-Cruz, Miguel A Tola-Arribas, Alicia Carreres, Monica Cano, Roberto Hornero, Celia Juan-Cruz, Carlos Gomez, Alicia Carreres, Jesus Poza, Monica Cano, Roberto Hornero, Javier Gomez-Pilar, Alejandro Bachiller, Miguel A Tola-Arribas
The aim of this pilot study was to analyze spontaneous electroencephalography (EEG) activity in Alzheimer's disease (AD) by means of Cross-Sample Entropy (Cross-SampEn) and two local measures derived from graph theory: clustering coefficient (CC) and characteristic path length (PL). Five minutes of EEG activity were recorded from 37 patients with dementia due to AD and 29 elderly controls. Our results showed that Cross-SampEn values were lower in the AD group than in the control one for all the interactions among EEG channels...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227092/eeg-based-single-trial-detection-of-errors-from-multiple-error-related-brain-activity
#19
Guofa Shou, Lei Ding, Guofa Shou, Lei Ding, Guofa Shou, Lei Ding
A key ability of the human brain is to monitor erroneous events and adjust behaviors accordingly. Electrophysiological and neuroimaging studies have demonstrated different brain activities related to errors. Meanwhile, the recognition of error-related brain activity as one aspect of performance monitoring has been reported for potential applications in clinical neuroscience and brain-machine interface, where single-trial analysis and classification would provide novel insights on dynamic brain responses to errors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227081/noninvasive-estimation-of-alveolar-pressure
#20
Francesco Vicario, Roberto Buizza, William A Truschel, Nicolas W Chbat, Francesco Vicario, Roberto Buizza, William A Truschel, Nicolas W Chbat, Francesco Vicario, Roberto Buizza, Nicolas W Chbat, William A Truschel
This paper presents an algorithm for noninvasive estimation of alveolar pressure in mechanically ventilated patients who are spontaneously breathing. Continual monitoring of alveolar pressure is desirable to prevent ventilator-induced lung injury and to assess the intrinsic positive end-expiratory pressure (PEEPi), which is a parameter of clinical relevance in respiratory care and difficult to measure noninvasively. The algorithm is based on a physiological model of the respiratory system and, as such, it also provides insight into the respiratory mechanics of the patient under mechanical ventilation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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